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portada Algorithms for Measurement Invariance Testing: Contrasts and Connections (Elements in Research Methods for Developmental Science)
Type
Physical Book
Publisher
Author
Language
English
Pages
94
Format
Paperback
ISBN13
9781009303385

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

Veronica Cole (Author) · Cambridge University Press · Paperback

Algorithms for Measurement Invariance Testing: Contrasts and Connections (Elements in Research Methods for Developmental Science) - Veronica Cole

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Delivery: 06 Oct - 14 Oct Shipping: 6 to 7 business days.
R 539
R 539

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

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.

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