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Invariant measurement : using Rasch models in the social, behavioral, and health sciences

Author: George Engelhard
Publisher: New York, N.Y. : Psychology Press, 2012.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Engelhard, George, 1953-
Invariant measurement.
New York, N.Y. : Psychology Press, 2012
(DLC) 2012027583
(OCoLC)801810225
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: George Engelhard
ISBN: 9781135104535 1135104530
OCLC Number: 841809695
Description: 1 online resource (xix, 288 pages)
Contents: Machine generated contents note: pt. I Introduction --
1. Introduction and Overview --
Variable Maps --
What Are Logits? --
Dichotomous Rasch Model --
Five Requirements of Invariant Measurement --
Method and Meaning of Rasch Measurement --
Illustrative Data Set: Measuring the Home Environment --
Discussion and Summary --
pt. II Conceptual and Theoretical Issues --
2. Invariant Measurement --
What Is Measurement? --
What Is Invariant Measurement? --
Ideal-Type Scales and the Structure of Measurement Data --
What Are Rasch Models? --
Item-Invariant Person Measurement --
Person-Invariant Item Calibration --
Discussion and Summary --
3. Rasch Models --
Operating Characteristic Functions --
Dichotomous Rasch Model --
Polytomous Rasch Models --
Partial Credit Model --
Rating Scale Model --
Many Facet Model --
Discussion and Summary --
4. Researcher-Constructed Measures --
Building Blocks for Researcher-Constructed Measures --
1. Latent variable: What Is the Latent Variable Being Measured? --
2. Observational Design: What Is the Plan for Collecting Structured Observations or Responses from Persons in Order to Define the Latent Variable? --
3. Scoring Rules: How Do We Categorize the Systematic Observations, and then Assign Scores to the Categories To Be Used as Indicators of the Latent Variable? --
4. Rasch Measurement Model: How Are Person and Item Responses or Observations Mapped onto the Latent Variable? --
Applications --
1. Learning Stimulation in the Home Environments of Preschool Children --
2. Assessment in the Health Sciences: The Five Rights of Safe Administration of Medications --
Discussion and Summary --
5. Historical and Comparative Perspective on Research Traditions in Measurement --
What Are Measurement Theories? --
What Are Research Traditions? --
What Are the Two Major Research Traditions in Measurement? --
Test-Score Tradition --
1. Founding of Classical Test Theory: Spearman --
2. Generalizability Theory: Cronbach and His Colleagues --
3. Factor Analysis: Spearman and Thurstone --
4. Structural Equation Modeling: Joreskog --
Scaling Tradition --
1. Psychophysics and the Beginning of the Scaling Tradition: Thorndike --
2. Absolute Scaling and Psychophysics: Thurstone --
3. Item Response Theory: Birnbaum and Rasch --
4. Non-Parametric Item Response Theory: Guttman, Lazarsfeld, and Mokken --
Discussion and Summary --
6. Quest for Invariant Measurement within the Scaling Tradition --
General Issues Guiding the Comparisons among the Scaling Theories --
Item-Invariant Person Measurement --
1. Parametric Models: Thorndike, Thurstone, Birnbaum, and Rasch --
2. Non-Parametric Models: Guttman, Lazarsfeld, and Mokken --
Person-Invariant Item Calibration --
1. Parametric Models: Thorndike, Thurstone, Birnbaum, and Rasch --
2. Non-Parametric Models: Guttman, Lazarsfeld, and Mokken --
Operating Characteristic Functions --
1. Item Response Functions --
2. Person Response Functions --
Variable Maps --
Discussion and Summary --
pt. III Technical Issues --
7. Methods of Estimation for the Dichotomous Rasch Model --
Dichotomous Model for Rasch Measurement --
Methods of Estimation --
Non-Iterative Estimation Methods --
1. LOG Method --
2. PAIR Method --
3. PROX Method --
4. Illustrative Data Analyses for Non-Iterative Methods of Estimation --
Iterative Estimation Methods --
1. JMLE Method --
2. MML Method --
3. CML Method --
4. Person Measurement: Illustrative Data Analysis of MLE Method (Iterative Method) --
Discussion and Summary --
8. Model-Data Fit for the Dichotomous Rasch Models --
Brief History of Model-Data Fit for Categorical Data --
Conceptual Framework for Model-Data Fit Based on Residual Analyses --
1. Guttman's Perspective on Model-Data Fit --
2. Model-Data Fit Statistics for Dichotomous Rasch Model --
Additional Issues Related to Model-Data fit --
Discussion and Summary --
pt. IV Assessments with Raters: Rater-Invariant Measurement --
9. Rater-Mediated Assessments: Conceptual Framework --
Rater-Mediated Assessments --
Brief Description of Measurement Models for Raters --
Rater-Invariant Measurement --
1. Extending the Requirements of Invariant Measurement --
2. Guidelines for Evaluating Functioning of Rating Categories --
Many Facet Model --
Using Variable Maps with Rater-Mediated Assessments --
Summary and Discussion --
10. Evaluating the Quality of Rater-Mediated Assessments I: Indices of Rater Errors and Systematic Biases --
Rater Errors and Systematic Biases --
Illustrative Data Analyses --
1. Rater Facet --
2. Domain Facet --
3. Person Facet --
Rater Invariant Measurement --
Discussion and Summary --
11. Evaluating the Quality of Rater-Mediated Assessments II: Indices of Rater Accuracy --
What Is Rater Accuracy? --
Defining Rater Accuracy as a Latent Variable --
Indices of Rating Accuracy --
Illustrative Data Analyses --
Relationship Between Rater Error and Accuracy --
Summary and Discussion --
pt. V Final Word --
12. Invariant Measurement: Summary and Discussion --
Perennial Issues in Assessment from the Perspective of Invariant Measurement --
Measurement Models --
Assessment Development --
Administration of Assessments --
Use of Assessments --
Evaluation of Assessments --
Final Word.
Responsibility: by George Engelhard, Jr.

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Winner of 2015 Qiyas Award"Invariant Measurement fills a much needed void in the library of Rasch measurement books. This book is a favorite among Rasch measurement enthusiasts for many reasons, not Read more...

 
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