24 August 2018
Designing, Implementing, and Analyzing Longitudinal Surveys
The course will provide an overview of those aspects of survey design, implementation, and analysis that are unique to longitudinal surveys or that have distinct features in the longitudinal context. The course will specifically cover:
- A review of the advantages and limitations of longitudinal surveys and an outline of some of the uses to which longitudinal surveys are put.
- Key aspects of longitudinal survey design such as the sampling design, interval between waves, and data collection modes.
- Important aspects of designing a questionnaire and measurement for longitudinal studies, particularly for capturing micro-level change.
- The impact of non-response and attrition in a panel, and adjustments such as weighting and imputation given that missing data patterns differ between waves.
- An introduction to important analysis considerations and methods when using a longitudinal survey design.
- In addition, each morning time will be available in a computer lab for exercises for practical application of these methods and an opportunity for more interaction with the instructors.
Dr. Tarek Al Baghal, Research Fellow at the Institute of Social and Economic Research, University of Essex, UK.
Dr. Alexandru Cernat is a lecturer in Social Statistics at the University of Manchester, UK.
Participants will find the course useful if
- they are interested in the uses and importance of longitudinal surveys;
- they are involved in planning or conducting a longitudinal survey;
- they are interested in aspects of longitudinal data collection;
- they are in the processes involved in measurement of phenomena over time;
- they want to use appropriate methods to analyze longitudinal data.
By the end of the course participants will
- be familiar with the central design issues of longitudinal surveys;
- understand different strategies on how to collect longitudinal data;
- be able to design questions that meet research objectives for longitudinal surveys and minimize error;
- be able to identify and implement features that should help to prevent panel attrition;
- be able to study the nature of non-response and attrition in a longitudinal survey;
- understand generally the methods used in weighting and imputation in a panel survey.
- participants should have basic knowledge of survey methodology from a cross-sectional perspective, in particular with respect to survey design, instrument development, and survey implementation;
- basic knowledge of statistics and statistical modelling (i.e., regression) and of a statistical software (e.g. Stata, SPSS, SAS, R).
- Certificate of attendance issued upon completion.
- 2 ECTS points via the University of Mannheim for regular attendance and satisfactory work on daily assignments (EUR 20).
- 4 ECTS points via the University of Mannheim for regular attendance and satisfactory work on daily assignments and for submitting a paper/report of about 5000 words to the lecturer(s) up to 4 weeks after the end of the summer school (EUR 50).
EUR 300: Student/PhD student rate.
EUR 450: Academic/non-profit rate.
The rates include the tuition fee, course materials, the academic program, access to library and IT facilities, coffee/tea, and a number of social activities.
10 full DAAD scholarships are available via the Center for Doctoral Studies in Social and Behavioral Sciences (CDSS) at the University of Mannheim.
5 ESRA scholarships are available for one main course.