Assessing Measurement Invariance For Applied Research
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Assessing Measurement Invariance for Applied Research
Author: Craig Wells
language: en
Publisher: Cambridge University Press
Release Date: 2021-06-03
This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.
Assessing Measurement Invariance for Applied Research
"Assessing Measurement Invariance for Applied Research will provide psychometricians and researchers across diverse disciplines in the social sciences the necessary knowledge and skills to select and apply appropriate methods to assess measurement invariance. It is a user-friendly guide that describes a variety of statistical methods using a pedagogical framework emphasizing conceptual understanding with extensive illustrations that demonstrate how to use software to analyze real data. A companion website (people.umass.edu/cswells) provides downloadable computer syntax and the data sets demonstrated in this book so readers can use them to become familiar with the analyses and understand how to apply the methods with proficiency to their own work. Evidence-supported methods that can be readily applied to real world data are described and illustrated, providing researchers with many options from which to select given the characteristics of their data. The approaches include observed-score methods and those that use item response theory models and confirmatory factor analysis,"--
Assessing Measurement Invariance for Applied Research
Author: Craig S. Wells
language: en
Publisher: Cambridge University Press
Release Date: 2021-06-03
This book focuses on the practical application of statistical techniques for assessing measurement invariance with less emphasis on theoretical development or exposition. Instead, it describes the methods using a pedagogical framework followed by extensive illustrations that demonstrate how to use software to analyze real data. The chapters illustrate the practical methods to assess measurement invariance and shows how to apply them to a range of data. The computer syntax and data sets used in this book are available for download here: people.umass.edu/cswells.