Algorithms for Measurement Invariance Testing
Language: English
Published by Cambridge University Press, GB, 2023
- Hardcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
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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.
Seller Inventory # LU-9781009454179
- Title
- Algorithms for Measurement Invariance Testing
- Author
- Veronica Cole, Conor H. Lacey
- Publisher
- Cambridge University Press, GB
- Publication year
- 2023
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 100945417X
- ISBN 13
- 9781009454179
- Item weight
- 274 grams
"Synopsis" may belong to another edition of this title.
Rarewaves.com UK
London, United Kingdom
AbeBooks seller since June 11, 2025
Shipping rates from United Kingdom to U.S.A.
| Item | 60 to 60 business days | 60 to 60 business days |
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