specialization|Psychometrics and Statistics
Students in the Psychometrics and Statistics specialization will focus on techniques for the analysis of various types of data, such as hierarchically and non-hierarchically organized data, and test and questionnaire data. The techniques of interest are: component and factor analysis techniques and their generalizations, item response theory, multilevel analysis, Bayesian statistics, and time series analyses.
The Psychometrics and Statistics specialization is organized by the Psychometrics and Statistics expertise group, that is concerned with quantitative techniques for the analyses of empirical data.
Expertise group goals are:
- to provide (social science) researchers with concrete advice as to which techniques to use for particular data analysis problems. Findings are reported in specialized scientific journals and at international conferences for experts in psychometrics and statistics in general, and in scientific journals and/or books aimed at the wider audience of users of statistical and psychometric techniques.
- to improve, where necessary, access to particular data analysis techniques. Specifically, developing and evaluating publicly accessible computer software is an important objective.
- to perform fundamental, scientific research into the quantitative analysis of data in the social sciences. On the one hand, this leads to the further dissemination of results. On the other hand, it provides insight into which data analytic problems (social science) researchers are faced with, thus providing input for new research on data analytic techniques.
The Research Master with specialization Psychometrics and Statistics is part of the theme Lifespan Development and Socialization within a multidisciplinary programme.
For your Psychometrics and Statistics specialization label the topic of your traineeship and master’s thesis needs to fit into the Psychometrics and Statistics field.
>Read more about the Research Master Behavioural and Social Sciences
|Last modified:||29 November 2021 12.27 p.m.|