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The Cathie Marsh Institute for Social Research short course training programme offers training at introductory, intermediate and advanced level in research methods and quantitative data analysis aimed at academics and applied researchers in the public and private sectors. Courses take place in the Humanities Bridgeford Street Building, University of Manchester. CMIST has two courses coming up in April which have available places:- · Introduction to Longitudinal Data Analysis - 10 April 2017<http://www.cmist.manchester.ac.uk/study/short/introductory/intro-to-longitudinal-studies/> · Longitudinal Data Analysis - 11 April 2017<http://www.cmist.manchester.ac.uk/study/short/intermediate/longitudinal-data-analysis/> Introduction to Longitudinal Data Analysis Date: 10 April 2017, 9.45am-4.30pm Instructor: Ian Plewis Level: Introductory Booking: http://www.cmist.manchester.ac.uk/study/short/booking/ Fee: £140 for those from educational, government and charitable institutions; £195 others. Outline The course covers basic concepts in longitudinal design and analysis. The morning session focuses on the strengths and methodological difficulties of the longitudinal approach such as defining longitudinal populations and target samples; levels and dimensions of change; age, period and cohort effects. There will be one small group discussion. After lunch, we start with an overview session on the sources and causes of missing data (attrition etc.), and how to adjust for missingness; this will be followed by another group exercise. Course Objectives By the end of the course, students should have gained: · an understanding of the different ways of measuring and explaining change using longitudinal data; · an appreciation of the particular problems posed by missing data in longitudinal research; · a basic understanding of ways of adjusting for missing data and · confidence to address questions about longitudinal design and missing data. Prerequisites Participants should have some background in empirical social science and a basic grounding in statistical modelling, at least in linear regression. ________________________________ Longitudinal Data Analysis Date: 11 April 2017, 9.45am-5.00pmm Instructor: Ian Plewis Level: Introductory Booking: http://www.cmist.manchester.ac.uk/study/short/booking/ Fee: £140 for those from educational, government and charitable institutions; £195 others. Outline The course covers two of the most useful ways of analysing longitudinal data. In the morning we cover growth curve analysis within a multilevel modelling framework. The theoretical ideas are embellished with practical work using data from the National Child Development Study. After lunch, basic concepts in survival analysis and event history analysis are introduced followed by practical work with a simple (pencil and paper) example. Course Objectives By the end of the course, students should have gained (i) an understanding of how growth curve models can be used to analyse repeated measures data; (ii) an appreciation of the ways in which duration and transition data can be analysed using techniques initially developed in medicine and industry; (iii) confidence to carry out practical work with some kinds of longitudinal data. Prerequisites Participants should have a strong background in empirical social science and a good understanding of the basics of statistical modelling, at least up to multiple linear regression. Some experience with STATA would be useful. Full details of all CMIST Courses and booking via http://www.cmist.manchester.ac.uk/study/short/list/ CMIST | G9 Humanities Bridgeford Street | University of Manchester | Manchester | M13 9PL Tel 0161 275 0796