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Książka Computational Aspects of Psychometric Methods Patricia (Sr. researcher at Institute Comp. Sci of Czech Academy of Sciences) Martinkova

Computational Aspects of Psychometric Methods

With R

Autor: Patricia (Sr. researcher at Institute Comp. Sci of Czech Academy of Sciences) Martinkova, Hladka, Adela (Postdoctoral Fellow, Insitutes of Comp. Sci. Czech Academy of Sciences)
Język: Angielski
Oprawa: Miękka
Wydawca: Taylor & Francis Ltd
Dostępność: Dostępna u dostawcy
Wysyłamy za 14-21 dni
351.21 zł
This book covers the computational aspects of psychometric methods involved in developing measuremen...

Informacje o książce

Autor
Patricia (Sr. researcher at Institute Comp. Sci of Czech Academy of Sciences) Martinkova, Hladka, Adela (Postdoctoral Fellow, Insitutes of Comp. Sci. Czech Academy of Sciences)
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2023
strony
324
EAN
9780367515393
Enbook ID
42997125
Wydawca
Taylor & Francis Ltd
Waga
698
Wymiary
178 x 254

Pełny opis

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.

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