Algorithms for Measurement Invariance Testing : Contrasts and Connections Hardback
by Veronica (Wake Forest University, North Carolina) Cole, Conor H. (Wake Forest University, North Carolina) Lacey
Part of the Elements in Research Methods for Developmental Science series
Hardback
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Description
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.
Information
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In Stock - Less than 10 copies availableFree UK DeliveryEstimated delivery 2-3 working days
- Format:Hardback
- Pages:94 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:21/12/2023
- Category:
- ISBN:9781009454179
Information
-
In Stock - Less than 10 copies availableFree UK DeliveryEstimated delivery 2-3 working days
- Format:Hardback
- Pages:94 pages, Worked examples or Exercises
- Publisher:Cambridge University Press
- Publication Date:21/12/2023
- Category:
- ISBN:9781009454179
