This book covers computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers main topics of psychometrics such as validity, reliability, item analysis, and item response theory models.

Patrícia Martinková is a Senior Researcher at the Institute of Computer Science of the Czech Academy of Sciences and an Academic Researcher at Charles University. Her research spans psychometrics and statistics with a focus on mathematical, statistical, and computational aspects of measurement. She has been teaching courses on psychometric methods since 2014.

Adéla Hladká is a Postdoctoral Fellow at the Institute of Computer Science of the Czech Academy of Sciences. Her research interests include psychometrics and statistics, with a focus on differential item functioning, and software development with R.

1. Introduction 2. Validity 3. Internal structure of test and factor analysis 4. Reliability 5. Traditional item analysis 6. Item analysis with regression models 7. Item response theory models 8. More complex IRT models 9. Differential item functioning 10. Outlook on applications and more advanced psychometric topics Appendix A. Introduction to R Appendix B. Descriptive statistics Appendix C. Distributions of random variables Appendix D. Measurement data in ShinyItemAnalysis Appendix E. Exercises