71,55 €*
Versandkostenfrei per Post / DHL
Lieferzeit 4-7 Werktage
Provides researchers & practitioners with a step-by-step guide for conducting Rasch measurement theory analyses. It includes theoretical introductions to major Rasch measurement principles and techniques, demonstrations of analyses using several R packages that contain Rasch measurement functions, and sample interpretations of results.
Provides researchers & practitioners with a step-by-step guide for conducting Rasch measurement theory analyses. It includes theoretical introductions to major Rasch measurement principles and techniques, demonstrations of analyses using several R packages that contain Rasch measurement functions, and sample interpretations of results.
Stefanie A. Wind is an Associate Professor of Educational Measurement at the University of Alabama. Her primary research interests include the exploration of methodological issues in the field of educational measurement, with emphases on methods related to rater-mediated assessments, rating scales, Rasch models, item response theory models, and nonparametric item response theory, as well as applications of these methods to substantive areas related to education.
Cheng Hua is a Ph.D. candidate in Educational Measurement program at the University of Alabama. His primary research interests include Rasch Measurement theory, advanced regression models, Bayesian statistics, and visual learning tools (such as Mind Maps and Concept Maps). He enjoys applying his psychometric and statistical skills to address real-world research questions through interdisciplinary collaborations.
1 Introduction 2 Dichotomous Rasch Model 3 Evaluating the Quality of Measures 4 Rating Scale Model 5 Partial Credit Model 6 Many Facet Rasch Model 7 Basics of Differential Item Functioning
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 316 |
| ISBN-13: | 9780367776398 |
| ISBN-10: | 0367776391 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Wind, Stefanie
Hua, Cheng |
| Hersteller: | CRC Press |
| Maße: | 234 x 156 x 17 mm |
| Von/Mit: | Stefanie Wind (u. a.) |
| Erscheinungsdatum: | 03.06.2022 |
| Gewicht: | 0,454 kg |
Stefanie A. Wind is an Associate Professor of Educational Measurement at the University of Alabama. Her primary research interests include the exploration of methodological issues in the field of educational measurement, with emphases on methods related to rater-mediated assessments, rating scales, Rasch models, item response theory models, and nonparametric item response theory, as well as applications of these methods to substantive areas related to education.
Cheng Hua is a Ph.D. candidate in Educational Measurement program at the University of Alabama. His primary research interests include Rasch Measurement theory, advanced regression models, Bayesian statistics, and visual learning tools (such as Mind Maps and Concept Maps). He enjoys applying his psychometric and statistical skills to address real-world research questions through interdisciplinary collaborations.
1 Introduction 2 Dichotomous Rasch Model 3 Evaluating the Quality of Measures 4 Rating Scale Model 5 Partial Credit Model 6 Many Facet Rasch Model 7 Basics of Differential Item Functioning
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 316 |
| ISBN-13: | 9780367776398 |
| ISBN-10: | 0367776391 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Wind, Stefanie
Hua, Cheng |
| Hersteller: | CRC Press |
| Maße: | 234 x 156 x 17 mm |
| Von/Mit: | Stefanie Wind (u. a.) |
| Erscheinungsdatum: | 03.06.2022 |
| Gewicht: | 0,454 kg |
Ähnliche Produkte
Lieferzeit 2-3 Wochen
Lieferzeit 2-3 Wochen
Aktuell nicht verfügbar
Aktuell nicht verfügbar
Aktuell nicht verfügbar
Lieferzeit 4-7 Werktage
Lieferzeit 4-7 Werktage
Aktuell nicht verfügbar