Veronica Cole (North Carolina Wake Forest University), Conor H. Lacey (North Carolina Wake Forest University)

Algorithms for Measurement Invariance Testing

Contrasts and Connections

• Broschiertes Buch

Produktbeschreibung

This Element introduces the testing of measurement invariance/DIF through nonlinear factor analysis and uses models to formulate different definitions of measurement invariance and DIF and different procedures for locating and quantifying these effects.

Produktdetails

• Elements in Research Methods for Developmental Science
• Verlag: Cambridge University Press
• Seitenzahl: 94
• Erscheinungstermin: 21. Dezember 2023
• Englisch
• Abmessung: 229mm x 152mm x 5mm
• Gewicht: 152g
• ISBN-13: 9781009303385
• ISBN-10: 1009303384
• Artikelnr.: 68587514

Inhaltsangabe

1. Algorithms for measurement invariance testing: Contrasts and connections
2. Latent variable models
3. What is measurement invariance? What is DIF?
4. Codifying measurement non-invariance and differential item functioning in different latent variable frameworks
5. Models for measurement non-invariance and differential item functioning
6. Consequences of measurement non-invariance and differential item functioning
7. Detecting measurement non-invariance and differential item functioning
8.Recommendations for best practices
9. References.