Le livre est actuellement en rupture de stock
En savoir plus sur le livre
Measurement invariance and differential item functioning (DIF) are critical concepts in developmental psychology, as biased measurements can lead to incorrect conclusions about developmental phenomena. This Element explores the testing of measurement invariance and DIF through nonlinear factor analysis, presenting models and definitions relevant to these concepts. It also discusses various procedures for identifying and quantifying these biases. Additionally, it offers practical recommendations for researchers to ensure valid inferences in their data analysis.
Achat du livre
Algorithms for Measurement Invariance Testing, Conor H Lacey, Veronica Cole
- Langue
- Année de publication
- 2023
- product-detail.submit-box.info.binding
- (rigide)
Nous vous informerons par e-mail dès que nous l’aurons retrouvé.
Modes de paiement
Personne n'a encore évalué .
- Titre
- Algorithms for Measurement Invariance Testing
- Sous-titre
- Contrasts and Connections
- Langue
- Anglais
- Auteurs
- Conor H Lacey, Veronica Cole
- Éditeur
- Cambridge University Press
- Publié
- 2023
- Format
- rigide
- Pages
- 94
- ISBN13
- 9781009454179
- Séries
- Mots clés
- Nonfiction, Science et Mathématiques, Mathématiques, Statistiques
- Description
- Measurement invariance and differential item functioning (DIF) are critical concepts in developmental psychology, as biased measurements can lead to incorrect conclusions about developmental phenomena. This Element explores the testing of measurement invariance and DIF through nonlinear factor analysis, presenting models and definitions relevant to these concepts. It also discusses various procedures for identifying and quantifying these biases. Additionally, it offers practical recommendations for researchers to ensure valid inferences in their data analysis.