This introductory text describes the principles of invariant measurement, how invariant measurement can be achieved with Rasch models, and how to use invariant measurement to solve measurement problems in the social, behavioral, and health sciences. Rasch models are used throughout but a comparison
Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences
โ Scribed by George Engelhard; Jue Wang
- Publisher
- Quantitative Applications in t
- Year
- 2021
- Tongue
- English
- Leaves
- 145
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book.
โฆ Table of Contents
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Outline placeholder
6. Conclusion
6. Conclusion
6. Conclusion
6. Conclusion
6. Conclusion
6. Conclusion
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1. Introduction
1.1 Invariant Measurement
Research Traditions in Measurement
Invariant Measurement and the Scaling Tradition
1.2 Rasch Measurement Theory
1.3 Components of Scale Development Based on Rasch Measurement Theory
1.4 Four Measurement Problems
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2. Constructing a Rasch Scale
2.1 Building Blocks for a Rasch Scale
Latent Variable
Observational Design
Scoring Rules
Rasch Model
2.2 Illustrative Analyses
2.3 Summary
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3. Evaluating a Rasch Scale
3.1 Rasch's Specific Objectivity
3.2 Model-Data Fit
3.3 Invariant Calibration of Items Across Subgroups of Persons
3.4 Illustrative Analyses
3.5 Summary
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4. Maintaining a Rasch Scale
4.1 Comparable Scales for a Construct
4.2 Invariant Measurement of Persons Across Scales
4.3 Illustrative Analyses
4.4 Summary
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5. Using a Rasch Scale
5.1 Three Foundations of Testing
Validity
Reliability
Fairness
5.2 Standard Setting
5.3 Summary
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6. Conclusion
6.1 Key Themes by Chapter
6.2 Applications of Rasch Measurement Theory
6.3 Concept Map for Rasch Models
6.4 Final Words
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Glossary
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References
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