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Hladka / Martinková / Martinkova

Computational Aspects of Psychometric Methods

With R

Medium: Buch
ISBN: 978-0-367-51539-3
Verlag: Taylor & Francis Ltd
Erscheinungstermin: 03.07.2023
Lieferfrist: bis zu 10 Tage
This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The computational aspects comprise the statistical theory and models, comparison of estimation methods and algorithms, as well as an implementation with practical data examples in R and also in an interactive ShinyItemAnalysis application.

Key Features:

- Statistical models and estimation methods involved in psychometric research

- Includes reproducible R code and examples with real datasets

- Interactive implementation in ShinyItemAnalysis application

The book is targeted toward a wide range of researchers in the field of educational, psychological, and health-related measurements. It is also intended for those developing measurement instruments and for those collecting and analyzing data from behavioral measurements, who are searching for a deeper understanding of underlying models and further development of their analytical skills. The datasets and the R code can be accessed here: https://www.cs.cas.cz/comps/CAPMbook/.

Produkteigenschaften


  • Artikelnummer: 9780367515393
  • Medium: Buch
  • ISBN: 978-0-367-51539-3
  • Verlag: Taylor & Francis Ltd
  • Erscheinungstermin: 03.07.2023
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2023
  • Serie: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
  • Produktform: Kartoniert
  • Gewicht: 698 g
  • Seiten: 348
  • Format (B x H x T): 253 x 175 x 21 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Autoren

Hladka, Adela

Martinková, Patricia

Martinkova, Patricia

Hladká, Adéla

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