Rasch models for solving measurement problems : invariant measurement in the social sciences
Rasch models
Sage
2021
EISBN 9781071878675
e9781544363028_cover.
FM-01-9781544363028.
Outline placeholder.
6. Conclusion.
6. Conclusion.
6. Conclusion.
6. Conclusion.
6. Conclusion.
6. Conclusion.
CH001-9781544363028.
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.
CH002-9781544363028.
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.
CH003-9781544363028.
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.
CH004-9781544363028.
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.
CH005-9781544363028.
5. Using a Rasch Scale.
5.1 Three Foundations of Testing.
Validity.
Reliability.
Fairness.
5.2 Standard Setting.
5.3 Summary.
CH006-9781544363028.
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.
BM-01-9781544363028.
Glossary.
BM-BIB-01-9781544363028.
References.
BM-IDX-01-9781544363028.
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.
FM-01-9781544363028.
Outline placeholder.
6. Conclusion.
6. Conclusion.
6. Conclusion.
6. Conclusion.
6. Conclusion.
6. Conclusion.
CH001-9781544363028.
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.
CH002-9781544363028.
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.
CH003-9781544363028.
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.
CH004-9781544363028.
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.
CH005-9781544363028.
5. Using a Rasch Scale.
5.1 Three Foundations of Testing.
Validity.
Reliability.
Fairness.
5.2 Standard Setting.
5.3 Summary.
CH006-9781544363028.
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.
BM-01-9781544363028.
Glossary.
BM-BIB-01-9781544363028.
References.
BM-IDX-01-9781544363028.
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.
