Algorithms for Measurement Invariance Testing (Hardcover)

Language: English

Published by Cambridge University Press, Cambridge, 2023

100945417X / 9781009454179

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Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Title
Algorithms for Measurement Invariance Testing (Hardcover)
Author
Veronica Cole
Publisher
Cambridge University Press, Cambridge
Publication year
2023
Condition
new
Binding
Hardcover
Language
English
ISBN 10
100945417X
ISBN 13
9781009454179

CitiRetail

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AbeBooks seller since June 29, 2022

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