Name: Algorithms for Measurement Invariance Testing: Contrasts and Connections (Elements in Research Methods for Developmental Science) (en Inglés)
SKU: 55837923
Price: 36.90 USD
Availability: InStock
Author: Veronica Cole
ISBN: 9781009303385

portada Algorithms for Measurement Invariance Testing: Contrasts and Connections (Elements in Research Methods for Developmental Science) (en Inglés)

Algorithms for Measurement Invariance Testing: Contrasts and Connections (Elements in Research Methods for Developmental Science) (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

Veronica Cole

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9781009303385

Algorithms for Measurement Invariance Testing: Contrasts and Connections (Elements in Research Methods for Developmental Science) (en Inglés)

Veronica Cole (Autor) · Cambridge University Press · Tapa Blanda

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Reseña del libro "Algorithms for Measurement Invariance Testing: Contrasts and Connections (Elements in Research Methods for Developmental Science) (en Inglés)"

Latent variable models are a powerful tool for measuring many of the phenomena in which developmental psychologists are often interested. If these phenomena are not measured equally well among all participants, this would result in biased inferences about how they unfold throughout development. In the absence of such biases, measurement invariance is achieved; if this bias is present, differential item functioning (DIF) would occur. This Element introduces the testing of measurement invariance/DIF through nonlinear factor analysis. After introducing models which are used to study these questions, the Element uses them to formulate different definitions of measurement invariance and DIF. It also focuses on different procedures for locating and quantifying these effects. The Element finally provides recommendations for researchers about how to navigate these options to make valid inferences about measurement in their own data.