Categorical and measurement models in social science

Subject description

An overview of measurement models in social science.

Classical test theory: true score and measurement error; reliability and its assessment; the practical use of a reliability coefficient.

Optimal scaling and other procedures for the construction of composite scores.

Factor analysis as a measurement model.

Logistic test models: parameter estimation and interpretation; assessment of model fit.

Principles of the construction of measurement instruments in social science.

The subject is taught in programs

Objectives and competences

Students are introduced to modern methods of psychometric analysis, applicable to measurement problems in social science, with emphasis on the analysis of categorical responses. They learn about both classical test theory and item response theory. They are familiar with assumptions, basic procedures, theoretical rationale and limitations of different approaches.

Teaching and learning methods

lectures, practical exercises, consultations, individual assignments 

Expected study results

Knowledge of the basic measurement models. Understanding of the fundamental principles of the classical test theory, optimal scaling, confirmatory factor analysis and the item response theory. Understanding of the major results of a psychometric analysis.

The application of basic psychometric procedures. Critical appraisal of published results.

Basic sources and literature

Sočan, G. (2021). Psihometrična analiza s programom R. Znanstvena založba Filozofske fakultete.

Crocker, L. & Algina, J. (2008). Introduction to classical and modern test theory. Cengage Learning.

Mair, P. (2018). Modern psychometrics with R. Springer.

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