ESRC Research Methods Programme

12:
- The use of Propensity Score Matching in evaluating the Education Maintenance Allowance
  his is a statistical evaluation design using a longitudinal cohort study involving large random sample surveys of young people (and their parents) in 10 EMA pilot areas and eleven control areas. Research seminar organised by the Cabinet Office and the ESRC Research Methods Programme The presentation will be based on two reports published by the Dfee/DfES.
  Venue: AD building, University of Surrey
  More information
21:
- Measuring neighbourhood effects
  This meeting is designed to discuss methods of measuring neighbourhood/area-level effects. The importance of area effects is well recognised as influential across the social sciences (e.g. the influence of neighbourhood on voting preferences, social inequality, unemployment, health inequalities). There is, therefore, a great deal of interest and expertise across disciplines. In addition, there is considerable policy interest in understanding how locality effects work. However, there are very considerable problems in measuring these effects, for example questions of the appropriate spatial level and issues of endogeneity. This meeting will bring together experts across disciplines to discuss and debate alternative approaches.
  Venue: RSS, London
  More information
- Measuring neighbourhood effects
  This meeting is designed to discuss methods of measuring neighbourhood/area-level effects. The importance of area effects is well recognised as influential across the social sciences (e.g. the influence of neighbourhood on voting preferences, social inequality, unemployment, health inequalities). There is, therefore, a great deal of interest and expertise across disciplines. In addition, there is considerable policy interest in understanding how locality effects work. However, there are very considerable problems in measuring these effects, for example questions of the appropriate spatial level and issues of endogeneity. This meeting will bring together experts across disciplines to discuss and debate alternative approaches.
  Venue: RSS, London
  More information

01:
- Software Planning Seminar : Comparative introductions to several software packages for qualitative data analysis
  Organised by the CAQDAS Networking Project Speaker: Christina Silver
  Venue: ABERDEEN UNIVERSITY
  More information
14:
- Exploring the tension between privacy and the social benefits of government databases
  A virtual discussion meeting using AccessGrid technology, led by Professor George Duncan, Carnegie Mellon University
  Venue: The meeting took place at the following UK sites: University of Manchester, University of Southampton, University of Leeds, Imperial College
  More information
20:
- Meeting to discuss training provision
  The meeting will bring together all of the training projects funded under the Research Methods Programme – now a total of eighteen projects. In addition, a number of the other key training providers have been invited, including the new National Centre in Research Methods and e-Social Science.
  Venue: The Council Room, Royal Statistical Society, Errol Street, Londo
  More information
29:
- RM Project Researchers’ Workshop
  The first of a series of annual two-day workshops restricted to staff appointed to projects. The costs of travel and accommodation will be met by the Programme.
  Venue: University of Manchester
  More information

18:
- New representations: the use of geodemographic classifications in research and public service delivery
  Joint seminar in ESRC/NERC/EPSRC Transdisciplinary Series and ESRC Research Methods Seminar Series
  Venue: Hosted by CASA at University College, London
  More information

01:
- Using GIS to analyse historical data
  Hosted by the Department of Geography, University of Portsmouth in collaboration with AHDS History and ponsored by the ESRCs Research Methods Programme. The course offered an introduction to both the theory and the practice of using Geographical Information Systems (GIS) to the analysis historical data. The majority of the course focused on practical work in an IT lab with state-of-the-arts GIS facilities.
  Venue: University of Portsmouth
  More information
- Interdisciplinary approaches to studying inequalities in health and quality of life
  A joint meeting organised by the Wolfson Research Institute, the University of Durham and the ESRC Research Methods Programme. The conference/meeting was designed to be an information gathering exercise that allowed discussion and debate.
  Venue: Queens Campus, University of Durham
  More information
30:
- Consultation on longitudinal studies
  The aim of this meeting was to report on the recent work on the National Longitudinal Strategy Committee and to consult users and potential users over future directions.
  Venue: RSS, London
  More information

07:
- Linking Data: understanding the past and looking into the future
  This meeting was concerned with identifying examples of current or planned research which sought to address long-run change. For each research application we asked a number of questions for discussion and debate. To view the programme and presentations please go to the ESDS Government web site.
  Venue: MANDEC, University of Manchester
  More information
12:
- Panel Time Series
  Training course organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: Ron Smith, Birkbeck
  Venue: UCL
  More information
20:
- Nonlinear Panel Data Models
  Masterclass organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: Whitney Newey (MIT)
  Venue:
  More information
25:
- Introduction to missing data
  A workshop organised by Dr James Carpenter and Professor Mike Kenward, as part of the Research Methods Programme. The workshop involved a combination of lectures, interactive group work and practical computing using R, Stata and WinBUGS.
  Venue: Keppel Street Building, London School of Hygiene and Tropical Medicine
  More information
28:
- Statistical methods for attrition and non-response in social surveys
  A one-day conference organised jointly with JRSS. The aims of the conference were: * to update the statistics profession on latest research * to provide a forum for young social science quantitative researchers to understand the problems of attrition and non-response * to result in the publication of a collection of papers * to provide survey practitioners, commissioners, customers and others with an insight into latest research * to provide survey analysts with a guide to best practice
  Venue: RSS, London
  More information

01:
- Introduction to missing data
  A workshop organised by Dr James Carpenter and Professor Mike Kenward, as part of the Research Methods Programme. The workshop involved a combination of lectures, interactive group work and practical computing using R, Stata and WinBUGS.
  Venue: Williamson Building, University of Manchester
  More information
02:
- Introduction to simple and multiple correspondence analysis
  Hosted by the Centre for Research on Socio Cultural Change. Lecturer: Johs. Hjellbrekke, University of Bergen. A brief presentation of simple and multiple CA, based on data from the Cultural Capital and Social Exclusion Project, the course will address some of the practical problems usually encountered by researchers when doing correspondence analysis.
  Venue: University of Manchester
  More information
13:
- Population size estimation using the capture-recapture method.
  June Master Class in Social Statistics Professor Peter van der Heijden, Department of Methodology and Statistics, University of Utrecht There is a revival of the popularity of randomized response - a technique to measure sensitive topics more validly in surveys. In a series of three lectures he will discuss issues of design and implementation of the randomized response method, and statistical methods for the analysis of randomized response data, including coping with respondents who do not follow the randomized response design instructions. Examples will include estimation of the prevalence of social benefit fraud and individual rent subsidy fraud, where randomized response is applied by the Netherlands government in large scale surveys.
  Venue: London Metropolitan University
  More information
- Randomized response: design and analysis
  June Master Class in Social Statistics Professor Peter van der Heijden, Department of Methodology and Statistics, University of Utrecht Professor Peter van der Heijden, Department of Methodology and Statistics, University of Utrecht There is a revival of the popularity of randomized response - a technique to measure sensitive topics more validly in surveys. In a series of three lectures he will discuss issues of design and implementation of the randomized response method, and statistical methods for the analysis of randomized response data, including coping with respondents who do not follow the randomized response design instructions. Examples will include estimation of the prevalence of social benefit fraud and individual rent subsidy fraud, where randomized response is applied by the Netherlands government in large scale surveys.
  Venue: London Metropolitan University
  More information
14:
- Population size estimation using the capture-recapture method.
  June Master Class in Social Statistics Professor Peter van der Heijden, Department of Methodology and Statistics, University of Utrecht In estimating the size of a population, it is often difficult to estimate the number of those with no contact with the state or official organisations. Capture-recapture methods or equivalently multiple-records system estimation is an increasingly popular method which derives a "valid" estimate of the population size. Various approaches will be considered, from the linking of two or more registrations, and using data from a single registration in which individuals can occur more than once. The course will describe methods to estimate the size of a population, and its characteristics in terms of a number of covariates, from incomplete registration lists. Examples will be given of the estimation of the population size of illegal immigrants, the number of illegal gun owners and drunk drivers, all in the Netherlands.
  Venue: London Metropolitan University
  More information
16:
- Graphical Modelling of Observational Data.
  June Master Class in Social Statistics Dr. Joe Whittaker, Department of Mathematics and Statistics, Lancaster University A particular problem of statistical data analysis is to model the inter-dependencies among a set of response variables. Graphical models, based on conditional independence, provide a powerful and informative toolbox for unravelling manifest interactions and associations. The course discusses directed and undirected graphical models, describing their properties and their statistical analysis. Many examples of successful analyses are given, with several drawn from the social sciences.
  Venue: Lancaster University
  More information
21:
- What kind of work do you do? A practical workshop on occupational classification and coding
  A joint meeting organised with the Warwick Institute for Employment Research This full-day workshop is designed to improve awareness among social scientists of the ways in which occupational information can inform a variety of research issues, both in UK-based research and within comparative international studies. The workshop will provide practical guidance on the process of occupational coding, including demonstrations of software developed for coding text responses. Sessions will also be devoted to the construction and use of social classifications derived from occupational information and to the use of occupationally-classified data from recent Censuses of Population. Speakers include Professors Peter Elias (Warwick), Ken Prandy (Cardiff) and David Rose (Essex); Tessa Staples and Nigel Swier (Office for National Statistics), Rob Jones (Warwick) and Eivind Hoffmann (Norwegian Directorate of Immigration and formerly International Labour Office).
  Venue: Royal Statistical Society, London
  More information
27:
- Finite population survey sampling inference - a statistical modelling approach
  June Master Class in Social Statistics Professor Murray Aitkin, Department of Psychology University of Melbourne. Australia This course takes a new approach to inference in sample surveys, and reconciles the standard finite population survey-sampling approach with the statistical modelling approach to data analysis. Over a series of four lectures, concepts such as the empirical likelihood and the likelihood interval will be introduced. This will then be extended into the Bayesian context, dealing with such problems as weighting in sample surveys. Practical demonstrations will be presented to illustrate the techniques.
  Venue: Lancaster University
  More information

01:
- ESRC Research Methods Festival
  A three-day event organised by the RMP directorate to provide an opportunity to explore new methods, debate and discuss, and network. The audience included academics, researchers, PhD students and supervisors, and non-academic researchers as well as local and central government, the business sector and key overseas participants
  Venue: St Catherine's College, Oxford
  More information
- ESRC Research Methods Festival
  An opportunity to: explore new methods, debate and discuss, network St Catherine's College, Oxford Events will be held throughout the three days 1 - 3 July 2004, but Saturday 3 July 2004 will be planned as "Research Students' Day" with events specifically aimed at PhD students. Aims: * to motivate an engagement with methods at a range of levels and across disciplines * to provide a concentrated event that brings the Research Methods programme to the key target communities * to provide a vehicle for linking together other ESRC methods-related initiatives * to stimulate interdisciplinary debate and networking in a relaxed and informal setting. Audience: Academics, researchers, PhD students, PhD supervisors, non-academic researchers, including local and central government and the business sector, key overseas participants. Format: A series of different events, at different levels, all held over a concentrated three-day period.
  Venue: St Catherine's College, Oxford
  More information
08:
- Numerical taxonomy through time – exploring trajectories of cases and classifications
  Organised as part of the 'Focusing on the Case in Quantitative and Qualitative Research' project led by David Byrne and Wendy Olsen
  Venue: University of Durham
  More information
22:
- An informal meeting to discuss practical issues around setting up online resources
  This meeting, organised by the ESRC Research Methods Programme, will focus on the practicalities of developing online teaching and learning resources with an emphasis on quantitative/data analysis related topics.
  Venue: Manchester Computing, University of Manchester
  More information
- An informal meeting to discuss practical issues around setting up online resources
  This meeting, organised by the ESRC Research Methods Programme, will focus on the practicalities of developing online teaching and learning resources with an emphasis on quantitative/data analysis related topics.
  Venue: Manchester Computing, University of Manchester

08:
- FREE Software Development Seminar 'Software tools for particular methods: using and teaching NVivo and N6 in different methodological contexts'
  Lyn Richards and Tom Richards of QSR Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
09:
- An Introduction to Modelling Electoral Panel Data
  Organised by the ESRC Oxford Spring School, hosted by the University of Oxford's Department of Politics and International Relations This course will be taught by Robert Andersen, McMaster University The course will take place on Thursday afternoon from 2-5:30pm and Friday morning from 9:30am-12:45pm
  Venue: Department of Politics and International Relations, Oxford University
  More information
- ATLAS.ti introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
14:
- Nvivo introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
16:
- Workshop on Dependent Interviewing
  Organised by the Institute for Social and Economic Research project team
  Venue: University of Essex , Colchester
  More information
21:
- Advanced topics in missing data
  A workshop organised by Dr James Carpenter and Professor Mike Kenward, as part of the Research Methods Programme. The workshop will involve a combination of lectures, interactive group work and practical computing using R, Stata and WinBUGS.
  Venue: London School of Hygiene and Tropical Medicine
  More information
22:
- Qualitative Comparative Analysis
  Organised as part of the 'Focusing on the Case in Quantitative and Qualitative Research' project led by David Byrne and Wendy Olsen
  Venue: University of Durham
  More information
- N6 introductory workshop:hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
27:
- Linking survey responses and administrative records
  Organised by Stephen Jenkins, the aims of this workshop are to bring together the various groups with interests in linkage of survey responses with administrative data records, to report on recent research findings by ISER about matching methods and modelling propensities to consent and to provide a forum where other research teams with relevant findings may also report on them.
  Venue: University of Manchester
  More information
28:
- ATLAS.ti version 5 (reduced price) REFRESHER SEMINAR : for existing users
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
29:
- MAXqda introductory workshop:hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information

01:
- Crash Course in Stata
  Organised by the ESRC Oxford Spring School, hosted by the University of Oxford's Department of Politics and International Relations This course will be taught by Luke Keele and Steve Fisher (Oxford)
  Venue: Department of Politics and International Relations, Oxford University
  More information
06:
- Introductory Microeconometrics
  Organised by the Centre for Microdata Methods and Practice (cenmap) Tutor: Professor Alan Duncan, University of Nottingham The course may be taken over two or three days. Those without a background in basic econometrics are recommended to take an optional refresher day. Those with a background in basic econometric analysis can take Day 2 and 3 as a two-day unit.
  Venue: University College London
  More information
07:
- Mathematics for Statistics
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Ms Audrienne Cutajar Bezzina
  Venue: Lancaster University
  More information
11:
- Non-Parametric methods under Behavioural Restrictions
  Workshop organised by the Centre for Microdata Methods and Practice (cemmap)
  Venue: IFS, London
  More information
12:
- Introduction to Models for Longitudinal and Clustered Data
  Organised by the ESRC Oxford Spring School in Quantitative Methods for Social Research
  Venue: ONS, London
  More information
13:
- Atlas.ti introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Southampton
  More information
14:
- Quantitative Survey Design and Implementation
  Organised by the Centre for Applied Social Surveys Students will be expected to attend on 14, 15 and 20, 21, 22 October 2004, between the hours of 10.00 and 17.00
  Venue: The Royal Statistical Society, London
  More information
- Excel for Statistics
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Ms Audrienne Cutajar Bezzina
  Venue: Lancaster University
  More information
20:
- Nvivo introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
21:
- Statistical Methods
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Mick Green
  Venue: Lancaster University
  More information
- Learning social network analysis
  The first of a two-day conference aimed at postgraduate students and researchers in social sciences who have a potential interest in social network analysis but little existing knowledge of its applications or software.
  Venue: ESRC Centre for Research on Innovation and Competition (CRIC), University of Manchester
  More information
- Promoting social network analysis
  A two-day conference to be held at the ESRC Centre for Research on Innovation and Competition (CRIC), University of Manchester
  Venue: CRIC, University of Manchester
  More information
22:
- New issues in social network analysis
  The second of a two-day conference aimed at postgraduate students and researchers in social sciences who have a potential interest in social network analysis but little existing knowledge of its applications or software. Keynote speaker - Ann Mische, Rutgers University
  Venue: ESRC Centre for Research on Innovation and Competition (CRIC), University of Manchester
  More information
27:
- Qualrus introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information

01:
- Introduction to Demographic Concepts & Methods
  This short course, organised by CCSR, is delivered over two consecutive days and is aimed at those with no demographic training. The focus will be on basic components of demographic change through measures and data sources to calculate and illustrate population structure, fertility, mortality and migration.
  Venue: Room W3.59, Williamson Building
  More information
- Introduction to Demographic Concepts & Methods
  This short course, organised by CCSR, will be delivered over two consecutive days and is aimed at those with no demographic training. The focus will be on basic components of demographic change through measures and data sources to calculate and illustrate population structure, fertility, mortality and migration.
  Venue: Room 3.59, Williamson Building
  More information
03:
- Spatial Econometrics
  One-day workshop organised by the Centre for Microdata Methods and Practice (cemmap)
  Venue: IFS, London
  More information
04:
- Panel / Longitudinal Data Analysis
  Organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: Dr Frank Windmeijer, Institute for Fiscal Studies
  Venue: University College London
  More information
- R
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Audrienne Cutajar Bezzina
  Venue: Lancaster University
  More information
10:
- Atlas.ti introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Atlas.ti introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
11:
- Statistical Inference
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Mick Green
  Venue: Lancaster University
  More information
15:
- Introduction to Population Estimating & Forecasting
  A one day short course organised by CCSR and aimed at those with a working knowledge of demography but a need to expand this into the use of estimation and forecasting.
  Venue: Room 3.59, Williamson Building
  More information
16:
- Survey Data Analysis I: Introducing Descriptive and Inferential Statistics
  Organised by the Centre for Applied Social Surveys
  Venue: University of Southampton
  More information
17:
- Nvivo introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
18:
- SPSS for Windows I
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Mick Green
  Venue: Lancaster University
  More information
- Training seminar for content analysis methodology for postgraduate students
  Organised by Peter Golding
  Venue: Loughborough University
  More information
22:
- Introduction to Stata
  The Stata short course, organised by CCSR, is a statistical package used for quantitative data analysis. It is being used increasingly in the social sciences because of its powerful data manipulation and statistical analysis procedures. Introduction to Stata will cover basic techniques in data exploration and data analysis.
  Venue: Room 3.59, Williamson Building
  More information
- Empirical Industrial Organisation
  Masterclass organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: Aviv Nevo (Berkeley)
  Venue:
  More information
23:
- FREE Software Development Seminar with Duncan Branley from Goldsmiths College: "Making and managing audio recordings: keeping up to date with developments "
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
- Advanced topics in missing data
  A workshop organised by Dr James Carpenter and Professor Mike Kenward, as part of the Research Methods Programme. The workshop will involve a combination of lectures, interactive group work and practical computing using R, Stata and WinBUGS.
  Venue: Williamson Building, University of Manchester
  More information
24:
- N6 introductory workshop:hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
29:
- Index Numbers
  Organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: Ian Crawford, Institute for Fiscal Studies
  Venue: University College London
  More information
- Demographic Forecasting with POPGROUP
  This short course is organised by CCSR. Each day will focus on practical hands-on experience: How to specify a population forecast, where to find the data for it, and making the most of the outputs. The course will train the participant in using the Excel-based POPGROUP software now used by many local authorities in the UK; POPGROUP uses standard government forecasting methods.
  Venue: Room 3.59, Williamson Building
  More information

01:
- Sampling Design
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Audrienne Cutajar Bezzina
  Venue: Lancaster University
  More information
- Designing Partnership Research
  Three-day course organised by the RM project "Partnership Research"
  Venue: University of Manchester
- Qualrus introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
02:
- Questionnaire Design
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Damon Berridge
  Venue: Lancaster University
  More information
03:
- Applied Social Science Research I
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Damon Berridge
  Venue: Lancaster University
  More information
- Sampling Theory
  This short course, organised by CCSR, aims to introduce some of the basic terminology and concepts of sampling theory in statistics. Topics include: sample size calculation, design effects, simple random sampling, stratified sampling, cluster & multistage sampling.
  Venue: Room 3.59, Williamson Building
  More information
06:
- NVivo follow-up project oriented (provisional date)
  Organised by the CAQDAS Networking Project.
  Venue: University of Surrey
  More information
- Policy Evaluation Methods
  Organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: Dr Barbara Sianesi, Institute for Fiscal Studies
  Venue: University College London
  More information
- Population forecasting for small areas
  This open meeting will discuss population and housing forecasts in areas smaller than Districts, with reports from local authority researchers who have used the POPGROUP software for this purpose. All are welcome but please pre-book your attendance with population.census@birmingham.gov.uk. During 2003-2004, the ESRC Research Methods Programme has supported the development of training at the University of Manchester, including demographic forecasting with POPGROUP software. This has led to POPGROUP version 3 which will be launched at this meeting.
  Venue: The Alpha Suite, 16th floor, Alpha Tower, Sussex Street, Queensway, Birmingham
  More information
08:
- FREE Software Planning Seminar: Comparative Introductions to several software programmes
  Organised by the CAQDAS Networking Project (provisional date)
  Venue: University of Surrey
  More information
- Secondary Data Analysis
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Prof. Brian Francis
  Venue: Lancaster University
  More information
09:
- Generalised Linear Models
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Mick Green
  Venue: Lancaster University
  More information
- Training seminar for content analysis methodology for researchers
  Organised by Peter Golding
  Venue: Loughborough University
13:
- Micro simulation
  Organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: Professor Alan Duncan, University of Nottingham
  Venue: University College London
  More information
15:
- Two-day workshop on online resources
  A workshop organised by the RMP directorate, primarily designed for Programme members who are developing online resources, and invited speakers. The workshop will have two strands – one for those involved in developing the substantive materials and one for those involved with the technical issues. We recognise that these overlap and the workshop will be organised to allow – and promote - interchange.
  Venue: The University of Manchester
  More information
16:
- Qualitative Statistical Modelling
  Organised as part of the 'Focusing on the Case in Quantitative and Qualitative Research' project led by David Byrne and Wendy Olsen
  Venue: University of Durham
  More information

11:
- SPSS for Social Scientists
  This short course, organised by CCSR, provides an intensive introduction to SPSS. It assumes that participants will have a basic familiarity with the Windows environment.
  Venue: Room 3.59, Williamson Building
  More information
12:
- Atlas.ti introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- The Case Study
  Organised as part of the 'Focusing on the Case in Quantitative and Qualitative Research' project led by David Byrne and Wendy Olsen
  Venue: University of Durham
  More information
- Introduction to Data Analysis Part 1
  This short course, organised by CCSR, will provide an introduction to the basic approaches to exploratory data analysis using the Samples of Anonymised Records from the 1991 Census. No knowledge of statistics is assumed. The course focuses on hands-on learning through practical exercises, and covers the following: ways of exploring variable distributions using tables and charts; use of cross-tabulation and the use of control variables to explore the relationship between variables, techniques for recoding and deriving new variables; the use of weighting. Tests of association for tables will also be covered and supported by a course handbook.
  Venue: Room 3.59, Williamson Building
  More information
- Discrete Choice Modeling
  Training course organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: William Greene (NYU)
  Venue:
  More information
- The Qualitative Case Study
  Organised as part of the 'Focusing on the Case in Quantitative and Qualitative Research' project led by David Byrne and Wendy Olsen Venue: University of Durham
  Venue:
13:
- SPSS for Windows II
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Mick Green
  Venue: Lancaster University
  More information
- Introduction to Data Analysis Part 2
  This short course, organised by CCSR, builds on Introduction to Data Analysis (Part 1) and has an emphasis on understanding of continuous or scale data. The course covers appropriate descriptive statistics and techniques for looking at relationships between variables (correlation) and the concept of statistical modelling using regression is also explored.
  Venue: Room 3.59, Williamson Building
  More information
17:
- Multiple Regression
  This one-day short course, organised by CCSR, covers the way in which models may be fitted to predict an interval response variable from several binary and interval explanatory variables. The methods are applied to socio-economic data. Practical exercises will be given and the participant will learn how to use SPSS to carry out a multiple regression analysis and interpret the results, as well as checking the assumptions that are made when a multiple regression analysis is carried out.
  Venue: Room 3.59, Williamson Building
  More information
19:
- Nvivo introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Introduction to Stata
  The Stata short course, organised by CCSR, is a statistical package used for quantitative data analysis. It is being used increasingly in the social sciences because of its powerful data manipulation and statistical analysis procedures. Introduction to Stata will cover basic techniques in data exploration and data analysis.
  Venue: Room 3.59, Williamson Building
  More information
20:
- Duration Analysis
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Damon Berridge
  Venue: Lancaster University
  More information
- Surveys and Sampling
  This short course, organised by CCSR, examines how sampling techniques can be applied in survey research.
  Venue: Room 3.59, Williamson Building
  More information
21:
- Missing Data Workshop
  Basic concepts & multiple imputation Organised by Mike Kenward & James Carpenter as part of their ESRC Methods Programme project on Missing Data Methodology for Multi-level Models
  Venue: London,Cancer Research UK
  More information
26:
- N6 introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Survey Data Analysis II: Exploring Relationships
  Organised by the Centre for Applied Social Surveys
  Venue: University of Southampton
  More information
- SAS *This course is for University staff and students only
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Mick Green
  Venue: Lancaster University
  More information
- Design and Analysis of Complex Surveys
  This short course, organised by CCSR, will give an overview of probability based survey design, including stratified, unequal selection, multi-stage (cluster) and multi-phase sampling. It covers the principles behind design-based and model-based inference.
  Venue: Room 3.59, Williamson Building
  More information

01:
- Longitudinal Data Analysis in the Social Sciences
  A three-day introductory workshop/seminar in the area of longitudinal data analysis in the social sciences organised by Vernon Gayle under the ESRC Research Methods Programme. The workshop/seminar is designed to introduce the topic of longitudinal data analysis and is based on large-scale surveys. It will help participants to develop practical skills and increase their level of knowledge. Social science examples will be used throughout the workshop. There will be substantive presentations from researchers in the field who have used longitudinal data and methods in empirical research projects.
  Venue: Stirling University
  More information
03:
- STATA
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Prof. Brian Francis
  Venue: Lancaster University
  More information
09:
- Atlas.ti follow-up project oriented
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Atlas.ti
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Rachel Fligelstone
  Venue: Lancaster University
  More information
- Logistic Regression
  This one-day short course, organised by CCSR, examines the fitting of models to predict a binary response variable from a mixture of binary and interval explanatory variables. The approach is illustrated using examples from a social science perspective, including cases where logistic regression models are used as a means of analysing tabular data where one of the dimensions of the table is a two-category outcome variable.
  Venue: Room 3.59, Williamson Building
  More information
10:
- DESIGN AND ADMINISTRATION OF POSTAL AND SELF-COMPLETION SURVEYS
  Organised by the Centre for Applied Social Surveys
  Venue: University of York
  More information
- Visual C++ I
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Audrienne Cutajar Bezzina
  Venue: Lancaster University
  More information
- Panel/Longitudinal Data Analysis
  Training course organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: Frank Windmeijer, cemmap, IFS
  Venue:
  More information
- Multilevel Discrete-time Event History Analysis workshop
  This workshop will introduce discrete-time methods for the analysis of event history data. Advanced topics such as modelling transitions between multiple states and correlated event histories will also be discussed. The emphasis will be on applying these methods in practice and interpreting the results. The workshop is funded under the ESRC Research Methods Programme and is therefore free of charge. Because of the expected high demand for places, all applicants should provide a brief statement of their research interests and their need for training in event history analysis. Priority will be given to researchers who intend to use event history analysis in their own research. This workshop is fully booked Contact: workshop organiser Amy Burch (a.burch@ioe.ac.uk)
  Venue: Institute of Education, University of London
  More information
14:
- Research Seminar
  Presented by Mike Kenward & James Carpenter as part of their ESRC Methods Programme project on Missing Data Methodology for Multi-level Models Contact James.Carpenter@lshtm.ac.uk for further details
  Venue: Institute for Medical Statistics, Freiburg
  More information
- Empirical Likelihood
  One-day workshop organised by the Centre for Microdata Methods and Practice (cemmap)
  Venue: IFS, London
  More information
15:
- Empirical Likelihood and Related Methods
  Masterclass organised by the Centre for Microdata Methods and Practice (cemmap) Tutor: Richard Smith (Warwick)
  Venue:
  More information
16:
- Nvivo follow-up project oriented
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Multilevel Modelling
  This one-day short course, organised by CCSR, begins with a description of some examples where multilevel models are useful in statistical analysis and some examples of multilevel populations. We then cover the basic theory of multilevel models and a very brief introduction to software that has been written specifically for fitting multilevel models: MLwiN. No prior knowledge of multilevel modelling is assumed.
  Venue: Room 3.59, Williamson Building
  More information
17:
- Event History Analysis
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Damon Berridge
  Venue: Lancaster University
  More information
23:
- MAXqda introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Aspects of Statistical Modelling
  This one-day short course, organised by CCSR, will cover the following topics: 1) Deciding which type of model is appropriate given the research question and the available data. This will include a discussion of multiple regression, logistic regression, multi-level modelling, log-linear models as well as cross-sectional and longitudinal data. 2) Interpreting model coefficients and output from statistical software - some examples based on the social science literature. 3) Some other general examples of statistical modelling issues from the social research literature.
  Venue: Room 3.59, Williamson
  More information
25:
- Missing Data - Research Seminar
  Organised by Mike Kenward & James Carpenter as part of their ESRC Methods Programme project on Missing Data Methodology for Multi-level Models For further information contact James.Carpenter@lshtm.ac.uk
  Venue: Institute of Education, London
  More information
28:
- Conceptualising Longitudinal Analysis
  This short course, organised by CCSR, aims to provide the conceptual tools that underpin methods of collecting and analysing longitudinal data. The course will cover the role of longitudinal data analysis and the various research designs that can be used in longitudinal data collection and analysis with reference to specific datasets.
  Venue: Room 3.59, Williamson
  More information

02:
- Atlas.ti introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Data Reduction and Classification
  This one-day short course, organised by CCSR, discusses various methods of data reduction, focusing on the use of principal components analysis (PCA). SPSS is used to apply PCA to UK Census ward data to look for explanatory factors related to deprivation.
  Venue: Room 3.59, Williamson
  More information
- SPSS for Windows 1
  This course is aimed at researchers and research students, with little experience of Windows computing, who would like to use SPSS in an efficient and effective manner. The aim of the course is to provide participants with as many opportunities to experiment with the package as possible. Consequently, each session will be centred around a computer-based practical encouraging participants to investigate data taken from various sources. Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
03:
- Applied Social Science Research II
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Pamela Lenton
  Venue: Lancaster University
  More information
07:
- Questionnaire Design
  This introductory short course, organised by CCSR, covers the basic elements of questionnaire design and question wording. The different requirements for postal and interview questionnaires will be emphasised and practical exercises will be given in question wording.
  Venue: Room 3.59, Williamson Building
  More information
09:
- Nvivo introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Surveys and Sampling
  This short course, organised by CCSR, examines how sampling techniques can be applied in survey research.
  Venue: Room 3.59, Williamson Building
  More information
10:
- Bayseian Methods
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Iraj Kazemi
  Venue: Lancaster University
  More information
12:
- Missing Data - Multiple imputation workshop
  Organised by Mike Kenward & James Carpenter as part of their ESRC Methods Programme project on Missing Data Methodology for Multi-level Models For further information, contact angela.wood@mrc-bsu.cam.ac.uk
  Venue: Cambridge
  More information
14:
- ESRC Oxford Spring School 2005
  The Spring School is composed of a series of intensive full and half-day courses which can be taken on a pick-and-mix basis, but they are combined into a week with an overall theme for convenience. This format is designed to appeal to those who have little time and can learn relatively quickly. The courses are ideal for those who need a push-start on a course of self-study or want an introduction to a topic before committing to a longer course. The theme of the 2005 Spring School is Panel Data Analysis.
  Venue: Department of Politics and International Relations, University of Oxford
  More information
- Crash Course in R
  Organised by the ESRC Oxford Spring School in Quantitative Methods for Social Research
  Venue: Department of Politics and International Relations, University of Oxford
  More information
- Crash Course in STATA
  Organised by the ESRC Oxford Spring School in Quantitative Methods for Social Research
  Venue: Department of Politics and International Relations, University of Oxford
  More information
15:
- Introduction to Statistical Models and Statistical Thinking
  Organised by the ESRC Oxford Spring School in Quantitative Methods for Social Research
  Venue: Department of Politics and International Relations, University of Oxford
  More information
16:
- QDA Miner introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Introduction to Longitudinal Analysis
  Organised by CCSR. Longitudinal studies are key policy and research tools and skills in their analysis are much in demand. This is an intermediate level short course for those without the statistical and research background necessary for the Level 3 Longitudinal Data Analysis course.
  Venue: Room 3.59, Williamson
  More information
- Introduction to Panel Data Analysis
  Organised by the ESRC Oxford Spring School in Quantitative Methods for Social Research
  Venue: Department of Politics and International Relations, University of Oxford
  More information
17:
- Visual C++ II
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Audrienne Cutajar Bezzina
  Venue: Lancaster University
  More information
- Dynamics in Time-Series-Cross-Section Data
  Organised by the ESRC Oxford Spring School in Quantitative Methods for Social Research
  Venue: Department of Politics and International Relations, University of Oxford
  More information
18:
- Introduction to Generalized Estimating Equations
  Organised by the ESRC Oxford Spring School in Quantitative Methods for Social Research
  Venue: Department of Politics and International Relations, University of Oxford
  More information
- Introduction to Generalized Estimating Equations
  Organised by the ESRC Oxford Spring School in Quantitative Methods for Social Research
  Venue: Department of Politics and International Relations, University of Oxford
  More information
19:
- Partnership Research: Learning Difficulties
  The first in a series of residential workshops organised by the RM Project "Partnership Research"
  Venue: University of Manchester
22:
- Introductory Workshop on Longitudinal Data Analysis in the Social Sciences
  A three-day introductory workshop in the area of longitudinal data analysis in the social sciences funded by the ESRC Research Methods Programme. The workshop is designed to introduce the topic of longitudinal data analysis and is based on large-scale surveys. It will help participants to develop practical skills and increase their level of knowledge. Social science examples will be used throughout the workshop. There will be substantive and methodological presentations from researchers in the field who have used longitudinal data and methods in empirical research projects. The British Household Panel Survey (http://iserwww.essex.ac.uk/ulsc/bhps/) will be showcased in this workshop/seminar.
  Venue: Lancaster University
  More information
30:
- Longitudinal Data Analysis
  This short course, organised by CCSR, will provide a practical overview of the main classes of methods including population average and random effects models.
  Venue: Room 3.59, Williamson
  More information

04:
- Introductory Workshop on Longitudinal Data Analysis in the Social Sciences
  A three-day introductory workshop in the area of longitudinal data analysis in the social sciences funded by the ESRC Research Methods Programme. The workshop is designed to introduce the topic of longitudinal data analysis and is based on large-scale surveys. It will help participants to develop practical skills and increase their level of knowledge. Social science examples will be used throughout the workshop. There will be substantive and methodological presentations from researchers in the field who have used longitudinal data and methods in empirical research projects.
  Venue: University of Bangor
  More information
06:
- SPSS for Social Scientists
  This short course, organised by CCSR, provides an intensive introduction to SPSS. It assumes that participants will have a basic familiarity with the Windows environment.
  Venue: Room 3.59, Williamson Building
  More information
09:
- Partnership Research: Learning Difficulties
  The second in a series of residential workshops organised by the RM Project "Partnership Research"
  Venue: University of Manchester
13:
- Regression Methods for Survey Data
  Organised by the Centre for Applied Social Surveys
  Venue: University of Southampton
  More information
- Introduction to Data Analysis Part 1
  This short course, organised by CCSR, will provide an introduction to the basic approaches to exploratory data analysis using the Samples of Anonymised Records from the 1991 Census. No knowledge of statistics is assumed. The course focuses on hands-on learning through practical exercises, and covers the following: ways of exploring variable distributions using tables and charts; use of cross-tabulation and the use of control variables to explore the relationship between variables, techniques for recoding and deriving new variables; the use of weighting. Tests of association for tables will also be covered and supported by a course handbook.
  Venue: Room 3.59, Williamson Building
  More information
14:
- Introduction to Demographic Concepts & Methods
  This short course, organised by CCSR, will be delivered over two consecutive days and is aimed at those with no demographic training. The focus will be on basic components of demographic change through measures and data sources to calculate and illustrate population structure, fertility, mortality and migration.
  Venue: Room 3.59, Williamson Building
  More information
19:
- Pre-testing Survey Questionnaires
  Organised by the Centre for Applied Social Surveys
  Venue: Royal Statistical Society, London
  More information
20:
- Introduction to Data Analysis Part 2
  This short course, organised by CCSR, builds on Introduction to Data Analysis (Part 1) and has an emphasis on understanding of continuous or scale data. The course covers appropriate descriptive statistics and techniques for looking at relationships between variables (correlation) and the concept of statistical modelling using regression is also explored.
  Venue: Room 3.59, Williamson Building
  More information
21:
- SPSS for Windows I
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Dr. Mick Green
  Venue: Lancaster University
  More information
24:
- Introduction to Population Estimating & Forecasting
  A one-day short course, organised by CCSR and aimed at those with a working knowledge of demography but a need to expand this into the use of estimation and forecasting.
  Venue: Room 3.59, Williamson Building
  More information
27:
- NVivo introductory workshop: hands-on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information

03:
- Survey Sampling
  Organised by the Centre for Applied Social Surveys
  Venue: Royal Statistical Society, London
  More information
04:
- Data Reduction and Classification
  This one-day short course, organised by CCSR, discusses various methods of data reduction, focusing on the use of principal components analysis (PCA). SPSS is used to apply PCA to UK Census ward data to look for explanatory factors related to deprivation.
  Venue: Room 3.59, Williamson
  More information
- N6 Introductory Workshop
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
05:
- Structural Equation Modelling
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course leader: Elizabeth Ackerley
  Venue: Lancaster University
  More information
- Qualrus Introductory Workshop
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
09:
- Multiple Regression
  This one-day short course, organised by CCSR, covers the way in which models may be fitted to predict an interval response variable from several binary and interval explanatory variables. The methods are applied to socio-economic data. Practical exercises will be given and the participant will learn how to use SPSS to carry out a multiple regression analysis and interpret the results, as well as checking the assumptions that are made when a multiple regression analysis is carried out.
  Venue: Room 3.59, Williamson Building
  More information
10:
- Missing Data - research seminar
  Organised by Mike Kenward & James Carpenter as part of their ESRC Methods Programme project on Missing Data Methodology for Multi-level Models For further information, contact James.Carpenter@lshtm.ac.uk
  Venue: MRC Biostatics Unit, Cambridge
  More information
- Missing Data - research seminar
  Organised by Mike Kenward & James Carpenter as part of their ESRC Methods Programme project on Missing Data Methodology for Multi-level Models For further information, contact James.Carpenter@lshtm.ac.uk
  Venue: MRC Biostatics Unit, Cambridge
  More information
12:
- Methods for Missing Data
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University
  Venue: Lancaster University
  More information
16:
- Logistic Regression
  This one-day short course, organised by CCSR, examines the fitting of models to predict a binary response variable from a mixture of binary and interval explanatory variables. The approach is illustrated using examples from a social science perspective, including cases where logistic regression models are used as a means of analysing tabular data where one of the dimensions of the table is a two-category outcome variable.
  Venue: Room 3.59, Williamson Building
  More information
18:
- Atlas.ti Introductory Workshop hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
19:
- Data Mining Techniques
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course Leader: Prof. Brian Francis
  Venue: Lancaster University
  More information
21:
- Partnership Research: Learning Difficulties
  The third in a series of residential workshops organised by the RM Project "Partnership Research"
  Venue: University of Manchester
23:
- Demographic Forecasting with POPGROUP
  This short course is organised by CCSR. Each day will focus on practical hands-on experience: How to specify a population forecast, where to find the data for it, and making the most of the outputs. The course will train the participant in using the Excel-based POPGROUP software now used by many local authorities in the UK; POPGROUP uses standard government forecasting methods.
  Venue: Room 3.59, Williamson Building
  More information
25:
- NVivo Introductory Workshop hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information

02:
- SPSS for Windows II
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University Course Leader: Dr. Mick Green
  Venue: Lancaster University
  More information
08:
- MAXqda Introductory Workshop hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
09:
- Multi-level Models
  Organised by the Centre for Applied Statistics (CAS) at Lancaster University
  Venue: Lancaster University
  More information
13:
- Free Users' Project Seminar
  Users of different CAQDAS packages present work in progress Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
15:
- NVivo follow-up project oriented
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
17:
- Partnership Research: Learning Difficulties
  A one-day conference organised by the RM Project "Partnership Research"
  Venue: University of Manchester
22:
- Longitudinal Data Analysis
  Organised by the Centre for Applied Social Surveys
  Venue: University of Southampton
  More information
- HyperRESEARCH introductory workshop: hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Qualitative Management Research: a guide to training needs and resources
  Organised by the ESRC Research Methods Programme project "Benchmarking Good Practice in Qualitative Management Research". The workshop will examine the training needs in qualitative research and signpost different resources to meet them.
  Venue: University of Manchester
  More information
24:
- ATLAS.ti follow-up project oriented
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information

01:
- Missing Data Course
  Provisional - Organised by Mike Kenward & James Carpenter as part of their ESRC Methods Programme project on Missing Data Methodology for Multi-level Models For further information, contact James.Carpenter@lshtm.ac.uk
  Venue: School of Hygiene & Tropical Medicine, London
  More information
05:
- Atlas.ti Introductory Workshop hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
07:
- NVivo introductory workshop: hands-on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
13:
- Multi-Methods Research Workshop - synergies and tensions
  A workshop organised by PPIMs project, funded under the ESRC Research Methods Programme in the Department of Sociology, University of Surrey. A one day workshop based on research into the practices and processes involved in integrating methodologies where key tensions and opportunities that occur in sociological research which utilises multiple research methods will be explored. The day will be used to examine both methodological and practical issues that arise from conceptualisation of the research question through to data analysis and reporting The workshop is at an advanced level so participants will need to have a good understanding (and some experience) of social research methods but may have little or no experience as yet of conducting mixed methods research.
  Venue: University of Surrey
  More information
18:
- Course on Missing Data
  The ESRC Methods Programme project team on Missing Data Methodology for Multi-level Models will be participating in missing data course organised by John Carlin For further information, contact jonathan.sterne@bristol.ac.uk
  Venue: Dept of Social Medicine, Bristol
  More information
20:
- Multi-Methods Research Workshop - synergies and tensions
  A workshop organised by PPIMs project, funded under the ESRC Research Methods Programme in the Department of Sociology, University of Surrey. A one day workshop based on research into the practices and processes involved in integrating methodologies where key tensions and opportunities that occur in sociological research which utilises multiple research methods will be explored. The day will be used to examine both methodological and practical issues that arise from conceptualisation of the research question through to data analysis and reporting The workshop is at an advanced level so participants will need to have a good understanding (and some experience) of social research methods but may have little or no experience as yet of conducting mixed methods research.
  Venue: University of Surrey
  More information

15:
- Summer School on Causality
  The first of two Royal Economic Society Ph.D. schools in econometrics to be held at Nuffield College, Oxford. Both schools are supported by the ESRC Methods Programme.
  Venue: Nuffield College, Oxford
  More information

07:
- NVivo Introductory Workshop
  Introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, they offer a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue:
  More information
- Surveys and Sampling
  This CCSR short course examines how sampling techniques can be applied in survey research. We begin with an overview of sample surveys. Participants are then introduced to the basic principles of sampling theory and how this relates to sampling strategies and sample design in a practical context. Practical exercises address the question of the required sample size and precision of estimates, sampling strategies and when sample surveys are appropriate.
  Venue: CCSR, University of Manchester
  More information
09:
- MAXqda2 introductory workshop
  orkshop led by software developers Udo Kuckartz & Anne Kuckartz, an overview of Changes in MAXqda 2. Organised by CAQDAS.
  Venue:
  More information
12:
- Introduction to Data Analysis 1
  This CCSR short course will provide an introduction to the basic approaches to exploratory data analysis using the Labour Force Survey. Participants are expected to have a basic familiarity with SPSS, but no prior knowledge of statistics is assumed. The course focuses on hands-on learning through practical exercises, and covers the following: ways of exploring variable distributions using tables and charts; techniques for recoding and deriving new variables; use of cross-tabulation (including use of control variables) to explore the relationship between variables and tests of association. The focus in this course is on the analysis of categorical data.
  Venue: CCSR, University of Manchester
  More information
14:
- Atlas.ti Introductory Workshop hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- ATLAS.ti introductory workshop
  Organised by CAQDAS, Surrey; Introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, they offer a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue:
  More information
- Introduction to Data Analysis 2
  CCSR Short Course This course builds on Introduction to Data Analysis (Part 1) and has an emphasis on understanding of continuous or scale data. The course covers appropriate descriptive statistics and techniques for looking at relationships between variables (correlation) and the concept of statistical modelling using regression is also explored.
  Venue: CCSR, University of Manchester
  More information
15:
- Causal Analysis in STATA
  This CCSR course introduces participants to the problem of inferring the effects of treatment or exposure in the presence of self-selection and/or confounding. We review some of the concepts and vocabulary of the causal inference literature and provide a non-technical introduction to the more commonly used methods of estimating causal effects. Particular attention is given to methodological developments in epidemiology and econometrics. Methods are implemented and practical examples investigated within STATA. The intended audience are those wishing to improve their statistical understanding of and skills in making causal inference.
  Venue: CCSR, University of Manchester
  More information
19:
- Free Software Planning Seminar
  Comparative Introductions to several software programmesOrganised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- Demographic Concepts and Methods
  A CCSR short course delivered over two consecutive days aimed at those with no demographic training. The focus will be on basic components of demographic change through measures and data sources to calculate and illustrate population structure, fertility, mortality and migration. THe calculation of age-sex standardisation ratios will be included in the course.
  Venue: CCSR, University of Manchester
  More information
21:
- Population Estimating and Forescasting
  A CCSR one-day course aimed at those with a working knowledge of demography but a need to expand this into the use of estimation and forecasting. The morning sessions will focus on relatively simple methods of estimating sub-national populations. We then move on to more complex cohort-component methods. In the afternoon we learn how to forecast future populations and experiment with varying our assumptions about future demographic trends.
  Venue: CCSR, University of Manchester
  More information
22:
- Demographic forecasting with POPGROUP
  CCSR Short Course Each day will focus on practical hands-on experience: How to specify a population forecast, where to find the data for it and making the most of the outputs. There will be dedicated practical time for participants to make forecasts with help on hand. The course will train the participant in using the Excel-based POPGROUP software now used by many local authorities in the UK; POPGROUP uses standard government forecasting methods. The focus will be on methods and data for forecasts of District populations; forecasts for ethnic groups and for electoral wards will be discussed and participants may use the practicals to persue those and other interests. Participants who have already used POPGROUP may bring their own data on CD and warn us in advance. Day 1: Population forecasts with POPGROUP Day 2: Developing population forecasts; household and labour force forecasts
  Venue: CCSR, University of Manchester
  More information
27:
- FREE Software Development Seminar
  FREE Software Development Seminar : QSR developers Lyn Richards & Tom Richards preview NVivo 7 at University of Surrey.
  Venue: University of Surrey
28:
- N6 Introductory Workshop hands on
  Organised by the CAQDAS Networking Project
  Venue: University of Surrey
  More information
- NVivo introductory workshop hands on
  Introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, they offer a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue:
- Generalised Latent Linear and Mixed Models
  This CCSR short course shows how the concepts of random effects, latent variables and latent classes are related. These concepts are applied to continuous and binary response measures and also to common but less familiar ordinal scores. Factor, growth curve and trajectory models are all covered together with methods for complex missing data and sample designs. Examples are taken from the field of behavioural and social development. The course makes extensive use of the GLLAMM procedure implemented within the STATA programme. A good understanding of regression and logistic regression will be assumed. Participants should also either already be familiar with random effects or latent variabla modelling, or with routine data analysis with STATA.
  Venue: CCSR, University of Manchester
  More information

01:
- Missing Data Course
  Organised by Mike Kenward & James Carpenter as part of their ESRC Methods Programme project on Missing Data Methodology for Multi-level Models Exact dates TBA For further information, contact James.Carpenter@lshtm.ac.uk
  Venue: New England Research Institute, Boston
  More information
04:
- Mathematics for Statistics
  This course is an introduction to the basic (and not so basic) mathematics needed in the Statistics World. The course will revise some topics covered in the O-level syllabus, and then introduces other topics students need to grasp in order to cope with the statistics introduced in this degree.
  Venue: Lancaster University
  More information
13:
- Statistical Methods
  Organised by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
14:
- Structural Empirical Approaches to Auctions
  Masterclass organised by the Centre for Microdata Methods and Practice (cemmap). Tutor: Professor Philip Haile (Yale), in cooperation with the ESRC Centre for Economic Learning and Social Evoluation (ELSE).
  Venue: IFS, London
  More information
19:
- NVivo introductory workshop
  Introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: University of Surrey
  More information
20:
- Statistical Inference
  The main aim of this course is to give a solid foundation to the understanding of statistics as a general approach to the problem of making valid inferences about relationships using data from observational or experimental studies. Examples of analyses from the social sciences will be used to illustrate this approach. The emphasis will be on the principle of Maximum Likelihood as a unifying theory for the development of statistical analysis. Organised by National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
26:
- Mixed-methods: identifying the issues
  ESRC is developing an initiative on mixed-methods. This workshop, organised by the ESRC Research Methods Programme directorate, brings together a number of issues that have arisen in the context of RMP-funded projects together with a need to identify what future developments are needed in this area.
  Venue: University of Manchester
  More information
- QUALRUS Introductroy Workshop
  Introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, the course offers a thorough introduction to the tools, functions and uses of software.
  Venue: University of Surrey
  More information

03:
- R
  Arranged by the National Training and Supportive Service for Quantitative Social Science, this course introduces the R package, explains the syntax and introduces a wide range of statistical models which can be fitted.
  Venue: Lancaster University
  More information
- Use of internet surveys in opinion polling
  The first of two half-day seminars held jointly by the Social Research Association and the Research Methods Programme.
  Venue: Royal Statistical Society, London
  More information
04:
- Testing Stochastic Dominance Restrictions
  Stochastic dominance gives a systematic framework for analyzing economic behavior under uncertainty. SD has seen considerable theoretical development and empirical application in the last decades, in various areas of economics. It is useful both for positive analysis (where the objective is to analyze the decision rules actually used by decision-makers) as well as in normative analysis (where the objective is to support practical decision making). The objective of this symposium is to bring together researchers who work on SD problems in Economics, Econometrics, and Finance, so as to exchange new insights and promote collaboration within and across disciplines. Organised by CeMMAP
  Venue: Institute for Fiscal Studies
  More information
10:
- SPSS for Windows 1
  This course is aimed at researchers and research students, with little experience of Windows computing, who would like to use SPSS in an efficient and effective manner. The aim of the course is to provide participants with as many opportunities to experiment with the package as possible. Consequently, each session will be centred around a computer-based practical encouraging participants to investigate data taken from various sources. Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
- Panel/Longitudinal Data Analysis
  The panel/longitudinal data analysis course covers most of the traditional panel data estimation techniques for micro panels in which the number of individuals (or firms etc.) is large, but the number of time periods is quite small. It focuses on the treatment of unobserved individual specific heterogeneity and discusses the difference between random and fixed effects model specifications. Organised by CeMMAP
  Venue: UCL Economics Department
  More information
23:
- ATLAS.ti introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
24:
- Generalised Linear Models
  Arranged by the National Training and Supportive Service for Quantitative Social Science, the aim of this course is to consider generalized linear models as a broad class of statistical models applying the general principles of likelihood inference to a variety of commonly encountered data analysis problems in the social sciences. The course will also introduce the software package R as tool for such statistical analysis.
  Venue: Lancaster University
  More information
- Hands-on Workshop on Occupational Coding
  This workshop will give participants the opportunity to try out new software for coding text to standard ccupational and/or industrial classifications. Following a demonstration, each participant will have the opportunity to try out the software and will receive a free trial version.
  Venue: CCSR, University of Manchester
  More information
30:
- NVivo introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
- Applied Social Science Research 1
  Arranged by the National Training and Supportive Service for Quantitative Social Science, this course introduces the students to applied quantitative social science by reviewing published papers/books in the fields of economics, quantitative sociology and management.
  Venue: Lancaster University
  More information

01:
- Secondary Data Analysis
  This course introduces the skills and techniques involved in analysing secondary data. The first part is concerned with using the internet, and in finding both quantitative resources for research. The major British social surveys will be covered and online access to the UK census data will also be demonstrated. The second part of the course explores in detail two publicly available datasets, the Home Office Offenders Index birth cohort series and the ESRC British Household Panel survey. The course will show methods of merging and aggregating datasets to produce information sources suitable for secondary analysis. Problems of data quality will also be addressed. Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
- Microsimulation
  Organised by ceMMAP. What are the likely employment effects of the new tax credit policies? How might road user charges alter patterns of transport use? Can a change in the provision of pensions affect the decision to retire? How much do policy reforms cost? To what extent are initial costs reduced through policy-induced changes in behaviour? These are the sorts of questions that microsimulation methods are designed to address. This course reviews the main techniques of microsimulation, using examples from the government's own report, Adding it Up to illustrate methods and possible developments.
  Venue: UCL Economics Department
  More information
02:
- Atlas.ti
  This course covers the basics of Atlas.ti, a popular textual analysis tool, and situates the program within the wider methodological framework of social science analysis Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
05:
- Sampling Theory
  This CCSR short course aims to introduce some of the basic terminology and concepts of sampling theory in statistics. Topics include: sample size calculation, design effects, simple random sampling, stratified sampling, cluster and multistage sampling. In addition, an introductory discussion of model based and design based analysis of complex surveys will be given which may be useful for those taking the design and analysis of complex surveys course.
  Venue: CCSR, University of Manchester
  More information
06:
- Questionnaire Design
  This course will provide students with the tools required to design questionnaires in an efficient and effective manner. There will be ample opportunity for students to discuss their own research interests, design their own questionnaires, develop their own questions, and consider topics of particular interest in more detail. Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
07:
- N6 introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
- Policy Evaluation Methods
  Organised by ceMMAP. How can one evaluate whether a government labour market programme such as the New Deal, or a subsidy to education such as the EMA is actually working? This course deals with the econometric and statistical tools that have been developed to estimate the causal impact on one or more outcomes of interest of any generic 'intervention' in the presence of selection decisions by agents - from government programmes, policies or reforms, to the returns to education, the impact of unionism on wages, or of migration on the labour market. After highlighting the 'evaluation problem' and the challenges it poses to the analyst, we focus on the empirical methods to solve it. For each of these approaches, we give the basic intuition, discuss the assumptions needed for its validity, highlight the question it answers, discuss its strengths and weaknesses drawing from example applications in the literature and implement it 'hands-on' in practical Stata sessions.
  Venue: UCL Economics Department
  More information
08:
- Sampling Design
  Arranged by the National Training and Supportive Service for Quantitative Social Science, the main aim of this course is to give a solid foundation to the understanding of sampling and sampling methods. It is intended as an introduction to the methodology of surveys for social scientists. Most of the discussion will be based on examples derived from national surveys. Various methods of survey sampling will be considered and practical examples given throughout the course.
  Venue: Lancaster University
  More information
- Improving the quality of sampling frames
  The second of two half-day seminars held jointly by the Social Research Association and the Research Methods Programme
  Venue: Royal Statistical Society, London
  More information
09:
- Introduction to STATA
  CCSR Short Course STATA is a statistical package increasingly used for social research data analysis which has powerful data manipulation procedures and extensive and powerful statistical capabilities. It is especially userful for the analysis of complex surveys and longitudinal data analysis, so participants in either courses on the design and analysis of complex surveys or longitudinal data analysis are advised to take this course if they are new to STATA. The course is a 1-day introduction to STATA. The aim of the course is to familiarise participants with the basic features of STATA 8.0. Topics covered are: 1. The STATA environment: Opening and exploring files, looking at labels, editing and entering data. 2. Exploratory analysis: logging outputs, producing tables, subsetting and descriptive statistics. 3. Data manipulation: computing new variables, recoding, keeping and dropping, saving commands in a .do file. 4. STATA graphics. The course combines a mixture of presentation and practical sessions.
  Venue: University of Manchester
  More information
10:
- Structural Equation Modelling in Mplus
  CCSR Short Course The basic thery for measurement and structural models for continuous and ordinal manifest variables is introduced. The preliminary focus is on psychometric measurement models and covariance structures for univariate and multivariate longitudinal data. The concept of an instrumental variable is introduced and their use in an SEM set up is illustrated for tackling the problem of non-compliance in trials and causal analysis in observational data. Use of covariance mixture modelling is explored. Different assumptions and treatments of missing data are described.
  Venue: CCSR, University of Manchester
  More information
12:
- Crash Course in R/Generalized Nonlinear Models
  ESRC Oxford Spring School Introduction to Generalized Nonlinear Models in Social Research: The use of generalized linear models (including multiple linear regression, logistic regression, log-linear models, proportional hazards models, etc.) is by now very familiar in empirical social science. But often the use of a linear predictor is unduly restrictive. The familiar GLM framework can be extended to include a wide variety of non-standard models that have been devised by social scientists: these include row-column association models for multi-way tables, log-multiplicative ("UNIDIFF") and layer-effects ("topological") models for mobility data, diagonal-reference models for dependence on a square classification, parametric hazard models for duration data, etc. The aim of the course will be to present an overview of such models, their interpretation, and their unified implementation via the "gnm" package for the open-source R statistical computing environment. A pre-requisite for this course is familiarity with R to the level of the Spring School's "Crash Course in R". Participants who are not familiar with R should also attend the Crash Course in R. Some previous exposure to GLM methods such as logistic regression and log-linear models is also assumed: a rapid refresher will be provided at the start of this course. Crash Course in R: This is a short introductory course presenting the basics of the R statistical package. R is a fully-documented, modern and free statistical computing environment, providing extensive graphics capabilities and implementations of many cutting-edge methods. It is very similar to S-plus. Both courses can be taken separately.
  Venue: Department of Politics and International Relations, University of Oxford
  More information
19:
- Qualitative Comparative Analysis
  This CCSR short course introduces you to qualitative comparative analysis for use in your small to medium-N case study project with between 3 and 250 cases. Sophisticated methods of coding up your case study data include using NVIVO software to create case attributes for each case. Qualitative comparative analysis is then introduced as a more systematic analysis of the various configurations of cases, including ordinal variables called 'fuzzy sets'. You can interpret your data qualitatively whilst also looking at causality between the variables
  Venue: University of Manchester
  More information

09:
- SPSS for Social Scientists
  This CCSR short course provides an intensive introduction to SPSS. It assumes that participants will have a basic familiarity with the Windows environment. We will examine the features of SPSS for Windows package, use a simple data set to cover the topics of transforming variables, selecting data for analysis and then perform basic analyses to produce frequency distributions, summary statistics and cross tabulations before examining some of the extensive graphic capabilities of SPSS.
  Venue: CCSR, University of Manchester
  More information
11:
- ATLAS.ti introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software. This course offers a thorough introduction to the tools, functions and uses of software. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
- Discrete Choice Modelling
  This three day course will study the specification, estimation, and application of discrete choice models. We will examine theoretical background and practical application of up to date and frontier techniques in the analysis of microeconometric models for discrete data. Actual studies will be presented. Participants will also apply the techniques using prepared data. Hands on applications will be developed using NLOGIT (developed by the course instructor), one of the world's most widely used software packages for discrete choice modeling. The overall nature of the course will be an introduction to discrete choice modeling, with a focus on how to fit, interpret, and use models. Theoretical background will include econometric underpinnings of the models and foundations for various computations, but will not include any derivation, proofs, or establishment of, e.g., asymptotic properties of estimators. The proposed is meant to provide practitioners with the econometric instruction needed to use, understand, and interpret some fairly advanced, yet widely used nonlinear techniques. Organised by ceMMAP
  Venue: UCL Economics Department
  More information
12:
- SPSS for Windows 2
  This course builds on previous introductory courses to cover more advanced techniques of statistical analysis. The principles of statistical inference are reviewed and applied to the general linear model. This framework is then extended to a wider class of statistical models, including non-linear, multivariate and non-normal models. Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
13:
- Inroduction to Data Mining
  This CCSR course provides a basis introduction to data mining concepts and practical experience at using the popular data mining package Clementine. The day is divided approximately equally between theory and practice and participants should go away with a taste of what data mining is and how it can be used as a practical tool for investigating data.
  Venue: CCSR, University of Manchester
  More information
17:
- NVivi Introductory Workshop
  Special event: free to full-time postgraduate students
  Venue: University of Surrey
  More information
18:
- NVivo introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
- Introduction to STATA
  CCSR Short Course STATA is a statistical package increasingly used for social research data analysis which has powerful data manipulation procedures and extensive and powerful statistical capabilities. It is especially userful for the analysis of complex surveys and longitudinal data analysis, so participants in either courses on the design and analysis of complex surveys or longitudinal data analysis are advised to take this course if they are new to STATA. The course is a 1-day introduction to STATA. The aim of the course is to familiarise participants with the basic features of STATA 8.0. Topics covered are: 1. The STATA environment: Opening and exploring files, looking at labels, editing and entering data. 2. Exploratory analysis: logging outputs, producing tables, subsetting and descriptive statistics. 3. Data manipulation: computing new variables, recoding, keeping and dropping, saving commands in a .do file. 4. STATA graphics. The course combines a mixture of presentation and practical sessions.
  Venue: University of Manchester
  More information
19:
- Duration Analysis
  The main aim of this course is to give a solid foundation to the understanding of the statistical techniques required to make valid inferences about duration data from observational or experimental longitudinal studies. Examples of analyses from the social sciences and medicine will be used to illustrate these techniques. The emphasis will be on the practical application of these techniques using software such as R, and on the interpretation of resulting output. Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
- Microsimulation
  What are the likely employment effects of the new tax credit policies? How might road user charges alter patterns of transport use? Can a change in the provision of pensions affect the decision to retire? How much do policy reforms cost? To what extent are initial costs reduced through policy-induced changes in behaviour? These are the sorts of questions that microsimulation methods are designed to address. This course reviews the main techniques of microsimulation, using examples from the government's own report, Adding it Up to illustrate methods and possible developments. Organised by ceMMAP
  Venue: UCL Economics Department
  More information
24:
- ATLAS.ti introductory workshop
  Special event: free to full-time postgraduate students Organized by CAQDAS
  Venue: University of Surrey
  More information
25:
- Software planning seminar: Comparative Inroductions to several CAQDAS pakages
  Organised by CAQDAS, comparative introductions to various software which assist in the analysis of qualitative (textual or multimedia) data
  Venue: CAQDAS, University of Surrey
  More information
- Design and Analysis of COmplex Surveys
  Thie CCSR Short Course will give an overview of probability based survey design including stratified, unequal selection, multi-stage (cluster) and multi-phase sampling. It covers the principles behind design-based and model-based inference. Useful mathematical results are presented to help understand the methods being used, but intuitive explanation is emphasied rather than formal proofs. Several real complex surveys are analysed including correction for non-response. Although an outline of STATA procedures is given, it is advisable to have some prior experience of STATA before embarking on this course (eg. the level 1 introductory course).
  Venue: CCSR, University of Manchester
  More information

02:
- Event History Analysis
  Arranged by the National Training and Supportive Service for Quantitative Social Science. The main aim of this course is to give a solid foundation to the understanding of the statistical techniques required to make valid inferences about event history data from observational or experimental longitudinal studies. Examples of analyses from the social sciences and medicine will be used to illustrate these techniques. The emphasis will be on the practical application of these techniques using software such as R and SABRE, and on the interpretation of resulting output.
  Venue: Lancaster University
  More information
03:
- Computerised Qualitative Analysis
  This CCSR workshop covers the computerised annotation and coding of qualitative data. We use Atlas TI qualitative software (and NVIVO and NUDIST demo software). We integrate your existing knowledge of qualitative interpretation techniques with an awareness of the possibilities for computerised manipulation and annotation of data. Sample data sets and coded output are provided. You can construct graphics ("iconic models") to represent your findings.
  Venue: CCSR, University of Manchester
  More information
07:
- NVivo Intermediate Support Seminar
  Organized by CAQDAS
  Venue: University of Surrey
  More information
08:
- ATLA.ti follow up project oriented workshop
  Organised by CAQDAS, intermediate to advanced support with your own project by means of a schedule of follow-up training on your chosen software. These workshops are for existing users and focus on participants' specific project needs. The content of each session therefore largely depends on individual requirements.
  Venue: CAQDAS, University of Surrey
  More information
- Atlas.ti
  This course covers the basics of Atlas.ti, a popular textual analysis tool, and situates the program within the wider methodological framework of social science analysis Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
15:
- NVivo follow up project oriented workshop
  Organised by CAQDAS, intermediate to advanced support with your own project by means of a schedule of follow-up training on your chosen software. These workshops are for existing users and focus on participants' specific project needs. The content of each session therefore largely depends on individual requirements.
  Venue: CAQDAS, University of Surrey
  More information
- Computerised Qualitative Analysis
  This CCSR workshop covers the computerised annotation and coding of qualitative data. We use Atlas TI qualitative software (and NVIVO and NUDIST demo software). We integrate your existing knowledge of qualitative interpretation techniques with an awareness of the possibilities for computerised manipulation and annotation of data. Sample data sets and coded output are provided. You can construct graphics ("iconic models") to represent your findings.
  Venue: CCSR, University of Manchester
  More information
16:
- STATA
  Arranged by the National Training and Supportive Service for Quantitative Social Science. This course introduces the STATA package, explains the syntax and introduces a wide range of statistical models which can be fitted. This comprehensive statistical system is popular with economists, epidemiologists and other social and biomedical researchers. The course will cover data input and manipulation, data description and tabulation, graphics, ANOVA, normal and logistic regression, regression diagnostics, Poisson regression and log-linear models. Other capabilities, extensions and resources of STATA will also be discussed.
  Venue: Lancaster University
  More information
- Modern Bayesian Econometrics
  Organised by ceMMAP.
  Venue: UCL Economics Department
  More information
22:
- Aspects of Statistical Modelling
  This one-day CCSR course will cover the following topics: 1) Deciding which type of model is appropriate given the research question and the available data. This will include a discussion of multiple regression, logistic regression, multi-level modelling, log-linear models as well as cross-sectional and longitudinal data. 2) Interpreting model coefficients and output from statistical software - some examples based on the social science literature. 3) Some other general examples of statistical modelling issues from the social research literature.
  Venue: CCSR, University of Manchester
  More information
- Computerised Qualitative Analysis
  This CCSR workshop covers the computerised annotation and coding of qualitative data. We use Atlas TI qualitative software (and NVIVO and NUDIST demo software). We integrate your existing knowledge of qualitative interpretation techniques with an awareness of the possibilities for computerised manipulation and annotation of data. Sample data sets and coded output are provided. You can construct graphics ("iconic models") to represent your findings.
  Venue: CCSR, University of Manchester
  More information
23:
- Econometric Estimation of Frontier Functions and Economic Efficiency
  This course will present the methodology of econometric estimation of economic efficiency. We will examine the stochastic frontier model as an econometric extension of the classical microeconomic theory of production and cost at the individual producer level. Basic models for production, cost and distance will be examined. We will examine major extensions of the models to provide scope for cross firm heterogeneity (such as heteroscedasticity) as well as unobserved heterogeneity captured by the stochastic specification of the model. The second day of the course will turn to more advanced applications, such as Bayesian and classical methods of estimation and, especially, panel data models. In addition to the examination of theoretical and econometric methods, we will study several applications from the recent literature. The course will include lectures that develop the relevant theory and extensive practical, laboratory applications. Emphasis in the laboratory sessions will be on estimation of stochastic frontier models and using them to compute measures of economic efficiency. Course participants will apply the techniques on their own computers using the LIMDEP computer program and several real data sets that have been used in applications already in the literature. Organised by ceMMAP
  Venue: UCL Economics Department
  More information
28:
- ATLAS.ti Intermediate Support Seminar
  Organized by CAQDAS
  Venue: University of Surrey
  More information

01:
- ATLAS.ti introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, the course offers an introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
06:
- Conceptualising Longitudinal Analysis
  This CCSR short course aims to provide the conceptual tools that underpin methods of collecting and analysing longitudinal data. The course will cover the role of longitudinal data analysis and the various research designs that can be used in longitudinal data collection and analysis: repeated cross-section, retrospective prospective, panel and rotating panel and record linkage. Reference will be made to specific national datasets and discussion of smaller datasets is encouraged in practical exercises.
  Venue: CCSR, University of Manchester
  More information
08:
- NVivo introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning, aimed at postgraduates, academics and professional researchers.
  Venue: CAQDAS, University of Surrey
  More information
14:
- Software development seminar
  Tom Richards & Lyn Richards present a demonstration of the NVivo Version 7. Participants can attend either both days or one day only
  Venue: CAQDAS, University of Surrey
  More information
- Software development seminar
  Tom Richards & Lyn Richards present a demonstration of the NVivo Version 7. Participants can attend either both days or one day only. Day one - discussion and demonstration
  Venue: CAQDAS, University of Surrey
  More information
15:
- Software development seminar
  Tom Richards & Lyn Richards present a demonstration of the NVivo Version 7. Participants can attend either both days or one day only. Day two - hands on workshop
  Venue: CAQDAS, University of Surrey
  More information
- Introduction to Longitudinal Analysis
  CCSR Short Course Longitudinal studies are key policy and research tools and skills in their analysis are much in demand. This is an intermediate level course for those without the statistical and research background necessary for the advanced 3-day Longitudinal Data Analysis course. The course aims to give participants confidence in the use of concepts and practical data analysis using SPSS. The use of regression models will be extended to continuous longitudinal data, and log-linear modelling will be thoroughly introduced for the analysis of categorical repeated measures. Theory will be implemented in extended practicals.
  Venue: CCSR, University of Manchester
  More information
20:
- Easter School on Panel Data
  The second of two Royal Economic Society Ph.D. schools in econometrics to be held at Nuffield College, Oxford. Both schools are supported by the ESRC Methods Programme.
  Venue: Nuffield College, Oxford
  More information
22:
- QUALRUS Introductory Workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
23:
- Bayesian Methods
  This course introduces students to the use of Bayesian methods for data analysis in the social sciences. This also provides the basic concepts of the Bayesian approach to statistics such as the subjective interpretation of probability, types of prior distributions, the use of Bayes theorem in updating information and inference procedures such as Bayesian estimates. These will include incorporating classical likelihood within the Bayesian framework, and fitting linear regression models and generalized linear models including the binary response model, the multinomial model, and the Poisson model for counts. The main focus of the course will be the application of Bayesian models in social science modelling and related disciplines. Arranged by the National Training and Supportive Service for Quantitative Social Science.
  Venue: Lancaster University
  More information
27:
- ESRC Oxford Spring School 2006: Structural Equation Modelling, 27-31 March 2006
  The Spring School is a week of courses that you can take on a pick-and-mix basis, or do the whole package. It starts with software courses and the second day is a general advanced statistics primer. The third and fourth days are a two-day introduction to Structural Equation Modelling (SEM), while the final day involves replication workshops of papers addressing more advances topics in Structural Equation Modelling.
  Venue: University of Oxford
  More information
- Modelling Consumer Demand
  The modelling of the consumer purchasing goods so as best to satisfy their preferences within a limited budget is at the core of applied microeconomics. Consumer theory provides the basic modelling tools from which are developed tools used throughout the economic modeling of household behaviour. It also underpins applied welfare analysis and therefore the economic approach to many questions of public policy. This course will cover the theory essential to modelling of demand responses to price, income and demographic change. Practical applications can use a variety of types of data and the course will cover appropriate modelling choices in terms of model specification and econometric techniques, using actual data. Organised by ceMMAP
  Venue: UCL Economics Department
  More information
29:
- MAXqda Introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information

04:
- SPSS for Social Scientists
  This CCSR short course provides an intensive introduction to SPSS. It assumes that participants will have a basic familiarity with the Windows environment. We will examine the features of SPSS for Windows package, use a simple data set to cover the topics of transforming variables, selecting data for analysis and then perform basic analyses to produce frequency distributions, summary statistics and cross tabulations before examining some of the extensive graphic capabilities of SPSS.
  Venue: CCSR, University of Manchester
  More information
05:
- Short Course on the Analysis of Panel Data
  Advance notice - one-day short course to precede S3RI Symposium on the Convergences of Methods for the Analysis of Panel Date Further details to follow
  Venue: Southampton Statistical Sciences Research Institute (S3RI)
  More information
- N6 introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. This course is aimed at postgraduates, academics and professional researchers, offering a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
- Surveys and Sampling
  This CCSR short course examines how sampling techniques can be applied in survey research. We begin with an overview of sample surveys. Participants are then introduced to the basic principles of sampling theory and how this relates to sampling strategies and sample design in a practical context. Practical exercises address the question of the required sample size and precision of estimates, sampling strategies and when sample surveys are appropriate.
  Venue: CCSR, University of Manchester
  More information
06:
- S3RI Symposium on the Convergences of Methods for the Analysis of Panel Data
  A symposium to discuss the current state of the art of the various approaches to modelling panel, longitudinal or repeated measure data, including graphical chain models, marginal models, random effects models and structural equation models. The symposium will be proceded by a short course on the analysis of panel data.
  Venue: Southampton Statistical Sciences Research Institute (S3RI)
  More information
- Applied Social Science Research II
  Arranged by the National Training and Supportive Service for Quantitative Social Science. This course extends the skills introduced in Part 1of the course. The aim is to highlight the problems and issues involved in technically demanding scientific social research. The course will cover topics from labour and educational economics
  Venue: Lancaster University
  More information
- Time Series Econometrics for Microeconometricians
  This course is a review of econometric models and techniques and is intended to lead into the panel time series course subsequently taught in this series by Prof. Ron P. Smith. The course surveys linear and nonlinear econometric models and estimation techniques, presenting them in a method of moments framework. While emphasizing their applicability under general assumptions on the data generating process, the emphasis will be on applications in time series analysis. Organised by ceMMAP
  Venue: UCL Economics Department
  More information
- Introduction to Data Analysis 1
  This CCSR short course will provide an introduction to the basic approaches to exploratory data analysis using the Labour Force Survey. Participants are expected to have a basic familiarity with SPSS, but no prior knowledge of statistics is assumed. The course focuses on hands-on learning through practical exercises, and covers the following: ways of exploring variable distributions using tables and charts; techniques for recoding and deriving new variables; use of cross-tabulation (including use of control variables) to explore the relationship between variables and tests of association. The focus in this course is on the analysis of categorical data.
  Venue: CCSR, University of Manchester
  More information
07:
- Introduction to Data Analysis 2
  CCSR Short Course This course builds on Introduction to Data Analysis (Part 1) and has an emphasis on understanding of continuous or scale data. The course covers appropriate descriptive statistics and techniques for looking at relationships between variables (correlation) and the concept of statistical modelling using regression is also explored.
  Venue: CCSR, University of Manchester
  More information
10:
- Longitudinal Data Analysis
  This CCSR course will provide a practical overview of the main classes of methods including population average and random effects models. Datasets examined include longitudinal data from clinical trials, a national cohort study, a multi-phase observational study with highly selective attrition and binary event data on mobility. The emphasis is on model building, the assumptions being made and their empirical and theoretical plausibility. Normal, discrete and non-parametric maximum likelihood random effects are considered enabling the fitting of models with unobserved heterogeneity, growth curves and trajectory classes.
  Venue: University of Manchester
  More information
26:
- ATLAS.ti introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, the course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
27:
- Methods for Missing Data
  This course deals with the problem of missing data common in many social surveys; problems of bias and inefficiency of naive statistical methods; alternative procedures: basics and complications; missing completely at random, missing at random and non-ignorable missing data. The course will also cover methods for analyzing missing data, including maximum likelihood (ML), basic concepts and applications of the EM algorithm, and multiple imputation (MI) techniques. While the focus is applied rather than theoretical, technical details will be included for easier understanding of the statistical properties of these methods. The course will also cover ML for linear models in the statistical package AMOS, and MI using SAS. The methods will be illustrated with case study analyses. Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information

03:
- NVivo introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. This course offers a thorough introduction to the tools, functions and uses of software, aimed at postgraduates, academics and professional researchers. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
- Multiple Regression
  This CCSR one-day course covers the way in which models may be fitted to predict an interval response variable from several binary and interval explanatory variables. The methods are applied to socio-economic data. Practical exercises will be given and the participant will learn how to use SPSS to carry out a multiple regression analysis and interpret the results, as well as checking the assumptions that are made when a multiple regression analysis is carried out. Other topics covered include: interactions, transformations, quadratic relationships and dummy variables.
  Venue: CCSR, University of Manchester
  More information
- Panel Time Series
  The econometric theory for panel data was largely developed for the case where N, the number of units (e.g. individuals or firms) was large, but T the number of time-periods was small. Time-series analysis dealt with cases where N was small but T was large. Recently, data-sets where both N and T are large and the same order of magnitude have become more common. Examples are the Penn World Tables, where the units are countries and financial data where the units are firms. These data allow much more flexible treatment of heterogeneity than small T panels but raise time-series issues such as unit roots and cointegration. This course will discuss the econometric theory for such panels, and consider the models and estimators available for stationary, integrated and cointegrated variables and examine the issues raised by between-unit dependence. The procedures will be illustrated with data for international financial variables. Those attending the course should be familiar with standard panel and time-series methods. Organised by ceMMAP
  Venue: UCL Economics Department
  More information
04:
- Data Mining Techniques
  Arranged by the National Training and Supportive Service for Quantitative Social Science. The main aim of data mining is to extract knowledge, or information, which is stored in very large databases. This course covers many of the concepts that are fundamental to understanding and successfully applying data mining methods. Statistical concepts are discussed without mathematically complex formulation. Practical sessions will use the latest versions of data mining computer software.
  Venue: Lancaster University
  More information
10:
- HyperRESEARCH Introductory Workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. This course offers a thorough introduction to the tools, functions and uses of software, aimed at postgraduates, academics and professional researchers. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
- Logistic Regression
  This CCSR short course builds on Introduction to Data Analysis (Part 1) and has an emphasis on understanding of continuous or scale data. The course covers appropriate descriptive statistics and techniques for looking at relationships between variables (correlation) and the concept of statistical modelling using regression is also explored.
  Venue: CCSR, University of Manchester
  More information
11:
- SPSS for Windows 2
  This course builds on previous introductory courses to cover more advanced techniques of statistical analysis. The principles of statistical inference are reviewed and applied to the general linear model. This framework is then extended to a wider class of statistical models, including non-linear, multivariate and non-normal models. Arranged by the National Training and Supportive Service for Quantitative Social Science
  Venue: Lancaster University
  More information
15:
- Data Reduction and Classification
  This one-day CCSR course discusses various methods of data reduction, focusing on the use of principal components analysis (PCA). SPSS is used to apply PCA to UK Census ward data to look for explanatory factors related to deprivation. Although factor analysis is also discussed briefly in the data reduction part of the course, the focus is on the use of data reduction methods to construct a deprivation score. We also consider data classification focusing on the theory and application of cluster analysis. We look at an example based on UK Census data and use SPSS to carry out a cluster analysis. Other related multivariate techniques for data reduction and classification will also be briefly outlined.
  Venue: CCSR, University of Manchester
  More information
16:
- Multilevel Modelling
  This one-day short course, organised by CCSR, begins with a description of some examples where multilevel models are useful in statistical analysis and some examples of multilevel populations. We then cover the basic theory of multilevel models and a very brief introduction to software that has been written specifically for fitting multilevel models: MLwiN. No prior knowledge of multilevel modelling is assumed.
  Venue: Training Suite, CCSR
  More information
- Mulitlevel Modelling
  A familiarity with the basic concepts of simple linear regression. Knowledge of a Windows based statistical package such as SPSS useful but not essential. This CCSR one-day course begins with a description of some examples where multilevel models are useful in statistical analysis and some examples of multilevel populations. We then cover the basic theory of multilevel models and a very brief introduction to software that has been written specifically for fitting multilevel models: MLwiN. No prior knowledge of multilevel modelling is assumed. Participants will get some experience of using MLwiN software.
  Venue: CCSR, University of Manchester
  More information
24:
- QDAMiner introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, the course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
- Population Estimating and Forescasting
  A CCSR one-day course aimed at those with a working knowledge of demography but a need to expand this into the use of estimation and forecasting. The morning sessions will focus on relatively simple methods of estimating sub-national populations. We then move on to more complex cohort-component methods. In the afternoon we learn how to forecast future populations and experiment with varying our assumptions about future demographic trends.
  Venue: CCSR, University of Manchester
  More information
25:
- Demographic forecasting with POPGROUP
  CCSR Short course: Each day will focus on practical hands-on experience: How to specify a population forecast, where to find the data for it and making the most of the outputs. There will be dedicated practical time for participants to make forecasts with help on hand. The course will train the participant in using the Excel-based POPGROUP software now used by many local authorities in the UK; POPGROUP uses standard government forecasting methods. The focus will be on methods and data for forecasts of District populations; forecasts for ethnic groups and for electoral wards will be discussed and participants may use the practicals to persue those and other interests. Participants who have already used POPGROUP may bring their own data on CD and warn us in advance. Day 1: Population forecasts with POPGROUP Day 2: Developing population forecasts; household and labour force forecasts
  Venue: CCSR, University of Manchester
  More information
- Demographic Concepts and Methods
  A CCSR short course delivered over two consecutive days aimed at those with no demographic training. The focus will be on basic components of demographic change through measures and data sources to calculate and illustrate population structure, fertility, mortality and migration. THe calculation of age-sex standardisation ratios will be included in the course.
  Venue: CCSR, University of Manchester
  More information
31:
- ATLA.ti follow up project oriented workshop
  Organised by CAQDAS, intermediate to advanced support with your own project by means of a schedule of follow-up training on your chosen software. These workshops are for existing users and focus on participants' specific project needs. The content of each session therefore largely depends on individual requirements.
  Venue: CAQDAS, University of Surrey
  More information

01:
- Understanding Consumer behaviour
  Organised by ceMMAP
  Venue: UCL Economics Department
  More information
07:
- NVivo follow up project oriented workshop
  Organised by CAQDAS, intermediate to advanced support with your own project by means of a schedule of follow-up training on your chosen software. These workshops are for existing users and focus on participants' specific project needs. The content of each session therefore largely depends on individual requirements.
  Venue: CAQDAS, University of Surrey
  More information
12:
- Qualitative Comparative Analysis
  This CCSR short course introduces you to qualitative comparative analysis for use in your small to medium-N case study project with between 3 and 250 cases. Sophisticated methods of coding up your case study data include using NVIVO software to create case attributes for each case. Qualitative comparative analysis is then introduced as a more systematic analysis of the various configurations of cases, including ordinal variables called 'fuzzy sets'. You can interpret your data qualitatively whilst also looking at causality between the variables
  Venue: CCSR, University of Manchester
  More information
20:
- ATLAS.ti introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. This course offers a thorough introduction to the tools, functions and uses of software, aimed at postgraduates, academics and professional researchers. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
22:
- NVivo introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information

04:
- ATLAS.ti introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
06:
- NVivo introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
17:
- Second ESRC Research Methods Festival
  
  Venue: St Catherine's College, Oxford
  More information

06:
- HyperRESEARCH Introductory Workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. This course, aimed at postgraduates, academics and professional researchers, offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
13:
- ATLAS.ti introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
19:
- Introduction to Bayesian Analysis using WinBUGS
  This introductory short course is organised by Prof Nicky Best and Dr David Spiegelhalter, and is aimed at statisticians, data analysts and quantitative researchers who are interested in finding out what Bayesian methods are all about, and how to apply them to analyse their data using the WinBUGS software. There is a large practical component to this course with time for hands-on data analysis using examples drawn mainly from the social and health sciences.
  Venue: Imperial College London
  More information
20:
- NVivo introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course gives a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information
- Starting SPSS
  This CCSR Short Course provides a 1 day introduction to SPSS. The day covers an introduction to the SPSS environment using the Windows interface, procedures for producing simple descriptive statistics for all or subsets of your cases, procedures for producing new variables from your raw data, graphics. No previous experience of data analysis is assumed, however participants should be familiar with working in the Windows environment.
  Venue: CCSR, University of Manchester
  More information
21:
- Introduction to Data Analysis Part 1
  This CCSR Short Course will provide an introduction to the basic approaches to exploratory data analysis using the Labour Force Survey. Participants are expected to have a basic familiarity with SPSS, but no prior knowledge of statistics is assumed. The course focuses on hands-on learning through practical exercises, and covers the following: ways of exploring variable distributions using tables and charts; techniques for recoding and deriving new variables, use of cross-tabulation (including use of control variables) to explore the relationship between variables, tests of association. The focus in this course is on the analysis of categorical data.
  Venue: CCSR, Manchester
  More information
- Bayesian Hierarchical Models
  This intermediate level short course is organised by Prof Sylvia Richardson and Prof Nicky Best. It is designed to be of interest to researchers in statistics and biostatistics or those interested in quantitative applications in epidemiology, medicine, biological sciences, social sciences and environmental science, plus individuals with a general interest in understanding and applying advanced quantitative Bayesian methods. There is a large practical component to this course with time for hands-on data analysis.
  Venue: Imperial College London
  More information
22:
- Introduction to Data Analysis Part 2
  This CCSR Short Course builds on Introduction to Data Analysis (Part 1) and has an emphasis on understanding of continuous or scale data. The course covers appropriate descriptive statistics and techniques for looking at relationships between variables (correlation) and the concept of statistical modelling using regression is also explored.
  Venue: CCSR, Manchester
  More information
25:
- Causal Analysis in Stata
  This CCSR Short Course introduces participants to the problem of inferring the effects of treatment or exposure in the presence of self-selection and/or confounding. We review some of the concepts and vocabulary of the causal inference literature and provide a non-technical introduction to the more commonly used methods of estimating causal effects. Particular attention is given to methodological developments in epidemiology and econometrics. Methods are implemented and practical examples investigated within Stata. The intended audience are those wishing to improve their statistical understanding of and skills in making causal inference.
  Venue: CCSR, Manchester
  More information
27:
- MAXqda Introductory workshop
  Organised by CAQDAS, this introductory software-specific training will take you through basic hands-on training in that software, combining demonstration, discussion and hands-on learning. Aimed at postgraduates, academics and professional researchers, this course offers a thorough introduction to the tools, functions and uses of software. The aim is to get participants safely started with the basic tasks that will occupy you for some time in a real project, whilst also providing understanding of how the software will be useful in the long term. Workshops are accompanied by full step-by-step and background documentation.
  Venue: CAQDAS, University of Surrey
  More information

Methods Programme - Past Diary