Cologne, Germany

Designing, Implementing, and Analyzing Longitudinal Surveys

when 7 August 2023 - 11 August 2023
language English
duration 1 week
credits 4 EC
fee EUR 500

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 a longitudinal studies, particularly for capturing micro-level change.
- The potential to add various data sources to longitudinal studies and its uses, such as administrative data, biomarkers, and social media/web-scraped data.
- 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, there will be exercises throughout each day for practical applications of lectures and methods taught practical application of these methods and provide an opportunity for more interaction with the instructors.

Course leader

Tarek Al Baghal is a Professor of Survey Methodology at the Institute of Social and Economic Research, University of Essex, UK.
Alexandru Cernat is an associate professor in Social Statistics at the University of Manchester, UK.

Target group

Participants will find the course useful if they
- are interested in the uses and importance of longitudinal surveys;
- are involved in planning or conducting a longitudinal survey;
- are interested in aspects of longitudinal data collection;
- are interested in the processes involved in measurement of phenomena over time;
- they want to use appropriate methods to analyze longitudinal data.

Prerequisites:
- 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 (Stata or R).

Course aim

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;
- understand methods to link new sources of data to longitudinal surveys;
- 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;
- generally understand the methods used in weighting and imputation in a panel survey.

Credits info

4 EC
- Certificate of attendance issued upon completion.
Optional bookings:
The University of Mannheim acknowledges the workload for regular attendance, satisfactory work on daily assignments and for submitting a paper of 5000 words to the lecturer(s) by 15 October at the latest with 4 ECTS (70 EUR administration fee).

Fee info

EUR 500: Student/PhD student rate.
EUR 750: Academic/non-profit rate.
The rates include the tuition fee, course materials, the academic program, access to library and IT facilities, and coffee/tea breaks.