Statistical Approaches to Measurement Invariance PDF (Adobe DRM) download by Roger E. Millsap

Statistical Approaches to Measurement Invariance

Routledge Academic
Publication date: March 2012
ISBN: 9781136761126
Digital Book format: PDF (Adobe DRM)


List price:
Our price:

You save: $2.96 (6%)
Join our Facebook sweepstake, share and
get 10 likes. Winners
get notified in 24H!
This book reviews the statistical procedures used to detect measurement bias. Measurement bias is examined from a general latent variable perspective so as to accommodate different forms of testing in a variety of contexts including cognitive or clinical variables, attitudes, personality dimensions, or emotional states. Measurement models that underlie psychometric practice are described, including their strengths and limitations. Practical strategies and examples for dealing with bias detection are provided throughout. The book begins with an introduction to the general topic, followed by a review of the measurement models used in psychometric theory. Emphasis is placed on latent variable models, with introductions to classical test theory, factor analysis, and item response theory, and the controversies associated with each, being provided. Measurement invariance and bias in the context of multiple populations is defined in chapter 3 followed by chapter 4 that describes the common factor model for continuous measures in multiple populations and its use in the investigation of factorial invariance. Identification problems in confirmatory factor analysis are examined along with estimation and fit evaluation and an example using WAIS-R data. The factor analysis model for discrete measures in multiple populations with an emphasis on the specification, identification, estimation, and fit evaluation issues is addressed in the next chapter. An MMPI item data example is provided. Chapter 6 reviews both dichotomous and polytomous item response scales emphasizing estimation methods and model fit evaluation. The use of models in item response theory in evaluating invariance across multiple populations is then described, including an example that uses data from a large-scale achievement test. Chapter 8 examines item bias evaluation methods that use observed scores to match individuals and provides an example that applies item response theory to data introduced earlier in the book. The book concludes with the implications of measurement bias for the use of tests in prediction in educational or employment settings. A valuable supplement for advanced courses on psychometrics, testing, measurement, assessment, latent variable modeling, and/or quantitative methods taught in departments of psychology and education, researchers faced with considering bias in measurement will also value this book.
Please sign in to review this product.
Statistical Approaches to Measurement Invariance PDF (Adobe DRM) can be read on any device that can open PDF (Adobe DRM) files.

File Size:
6524 Kb
Copy From Text:
Statistical Approaches to Measurement Invariance PDF (Adobe DRM) download by Roger E. Millsap
Routledge Academic, March 2012
ISBN: 9781136761126
EAN:  9781136761126
PDF (Adobe DRM)
List Price: $47.95 eBook price: $44.99
Statistical Approaches to  Measurement Invariance ePub (Adobe DRM) download by Roger E. Millsap
Routledge Academic, March 2012
ISBN: 9781136761119
EAN:  9781136761119
ePub (Adobe DRM)
List Price: $47.95 eBook price: $44.99