Invariant measurement: using Rasch models in the social, behavioral, and health sciences
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York ; London
Routledge
2013
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIX, 288 S. graph. Darst. |
| ISBN: | 9780415871228 9780415871259 |
Internformat
MARC
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| 100 | 1 | |a Engelhard, George |d 1953- |e Verfasser |0 (DE-588)1032671734 |4 aut | |
| 245 | 1 | 0 | |a Invariant measurement |b using Rasch models in the social, behavioral, and health sciences |c George Engelhard, Jr. |
| 264 | 1 | |a New York ; London |b Routledge |c 2013 | |
| 300 | |a XIX, 288 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Sozialwissenschaften | |
| 650 | 4 | |a Psychometrics | |
| 650 | 4 | |a Invariant measures | |
| 650 | 4 | |a Rasch models | |
| 650 | 4 | |a Psychology |x Statistical methods | |
| 650 | 4 | |a Social sciences |x Statistical methods | |
| 650 | 0 | 7 | |a Psychometrie |0 (DE-588)4176236-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Psychologie |0 (DE-588)4047704-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Invariantes Maß |0 (DE-588)4352361-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Rasch-Modell |0 (DE-588)4176964-8 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
| _version_ | 1804150319857270784 |
|---|---|
| adam_text | Contents
Preface
Acknowledgments
About the Author
PART I
Introduction
1 Introduction and Overview
Variable Maps 5
What Are Logits? 8
The Dichotomous Rasch Model 11
Five Requirements of Invariant Measurement 13
Method and Meaning of Rasch Measurement 17
Illustrative Data Set: Measuring the Home Environment 18
Discussion and Summary 22
PART II
Conceptual and Theoretical Issues
2 Invariant Measurement
What Is Measurement? 28
What Is Invariant Measurement? 29
Ideal-Type Scales and the Structure of Measurement Data 30
What Are Rasch Models? 34
Item-Invariant Person Measurement 37
Person-Invariant Item Calibration 38
Discussion and Summary 40
xiii
xvii
xxi
I
3
25
27
viii Contents
3 Rasch Models 42
Operating Characteristic Functions 43
Dichotomous Rasch Model 46
Polytomous Rasch Models 49
Partial Credit Model 50
Rating Scale Model 52
Many Facet Model 56
D isc uss i on and S a mm ary 5 7
4 Researcher-Constructed Measures 59
Building Blocks for Researcher-Constructed Measures 59
1. Latent variable: What Is the Latent Variable
Being Measured? 60
2. Observational Design: What Is the Plan for Collecting
Structured Observations or Responses from
Persons in Order to Define the Latent Variable? 62
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? 67
4. Rasch Measurement Model: How Are Person
and Item Responses or Observations
Mapped onto the Latent Variable? 69
Applications 71
1. Learning Stimulation in the Home
Environments of Preschool Children 71
2. Assessment in the Health Sciences: The Five
Rights of Safe Administration of Medications 72
Discussion and Summary 74
5 An Historical and Comparative Perspective on Research
Traditions in Measurement 77
What Are Measurement Theories? 79
What Are Research Traditions? 81
What Are the Two Major Research Traditions in Measurement? 82
Test-Score Tradition 82
1. The Founding of Classical Test Theory: Spearman 83
2. Generalizability Theory: Cronbach and
His Colleagues 84
3. Factor Analysis: Spearman and Thurstone 86
4. Structural Equation Modeling: Joreskog 87
Contents ix
Scaling Tradition 88
L Psychophysics and the Beginning of the
Scaling Tradition: Thorndike 90
2. Absolute Scaling and Psychophysics: Thurstone 93
3. Item Response Theory: Birnbaum and Rasch 95
4. Non-Parametric Item Response Theory:
Guttman, Lazarsfeld, and Mokken 98
Discussion and Summary 104
6 The Quest for Invariant Measurement within the Scaling Tradition 107
General Issues Guiding the Comparisons
among the Scaling Theories 108
Item-Invariant Person Measurement 109
L Parametric Models: Thorndike,
Thurstone, Birnbaum, and Rasch 110
2. Non-Parametric Models: Guttman, Lazarsfeld,
and Mokken 113
Per son-Invariant Item Calibration 115
1. Parametric Models: Thorndike,
Thur stone, Birnbaum, and Rasch 116
2. Non-Parametric Models: Guttman, Lazarsfeld,
and Mokken 116
Operating Characteristic Functions 119
1. Item Response Functions 120
2. Person Response Functions 122
Variable Maps 125
Discussion and Summary 131
PART III
Technical Issues 133
7 Methods of Estimation for the Dichotomous Rasch Model 135
Dichotomous Model for Rasch Measurement 136
Methods of Estimation 143
Non-Iterative Estimation Methods 144
1. LOG Method 144
2. PAIR Method 144
3. PROX Method 145
4. Illustrative Data Analyses for Non-
Iterative Methods of Estimation 147
x Contents
Iterative Estimation Methods 154
1. JMLE Method 155
2. MML Method 158
3. CML Method 158
4. Person Measurement: Illustrative Data Analysis
of MLE Method (Iterative Method) 159
Discussion and Summary 164
8 Model-Data Fit for the Dichotomous Rasch Models 167
Brief History of Model-Data Fit for Categorical Data 168
Conceptual Framework for Model-Data Fit
Based on Residual Analyses 171
1. Guttmans Perspective on Model-Data Fit 172
2. Model-Data Fit Statistics for Dichotomous Rasch Model 173
Additional Issues Related to Model-Data fit 184
Discussion and Summary 185
PART IV
Assessments with Raters: Rater-Invariant Measurement 189
9 Rater-Mediated Assessments: Conceptual Framework 191
Rater-Mediated Assessments 192
BriefDescription of Measurement Models for Raters 195
Rater-Invariant Measurement 196
L Extending the Requirements of Invariant Measurement 196
2. Guidelines for Evaluating Functioning of Rating Categories 197
Many Facet Model 200
Using Variable Maps with Rater-Mediated Assessments 202
Summary and Discussion 207
10 Evaluating the Quality of Rater-Mediated Assessments I: Indices
of Rater Errors and Systematic Biases 209
Rater Errors and Systematic Biases 211
Illustrative Data Analyses 216
1. Rater Facet 218
2. Domain Facet 225
3. Person Facet 225
Rater Invariant Measurement 226
Discussion and Summary 229
Contents xi
11 Evaluating the Quality of Rater-Mediated Assessments II: Indices
of Rater Accuracy 231
What Is Rater Accuracy? 231
Defining Rater Accuracy as a Latent Variable 234
Indices of Rating Accuracy 236
Illustrative Data Analyses 237
Relationship Between Rater Error and Accuracy 242
Summary and Discussion 243
PART V
Final Word 245
12 Invariant Measurement: Summary and Discussion 247
Perennial Issues in Assessment from the
Perspective of Invariant Measurement 248
Measurement Models 249
Assessment Development 251
Administration of Assessments 253
Use of Assessments 254
Evaluation of Assessments 255
Final Word 256
Glossary 257
Notation 261
References 262
Author Index 278
Subject Index 282
|
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| spelling | Engelhard, George 1953- Verfasser (DE-588)1032671734 aut Invariant measurement using Rasch models in the social, behavioral, and health sciences George Engelhard, Jr. New York ; London Routledge 2013 XIX, 288 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Sozialwissenschaften Psychometrics Invariant measures Rasch models Psychology Statistical methods Social sciences Statistical methods Psychometrie (DE-588)4176236-8 gnd rswk-swf Psychologie (DE-588)4047704-6 gnd rswk-swf Invariantes Maß (DE-588)4352361-4 gnd rswk-swf Rasch-Modell (DE-588)4176964-8 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Psychologie (DE-588)4047704-6 s Invariantes Maß (DE-588)4352361-4 s Statistik (DE-588)4056995-0 s Psychometrie (DE-588)4176236-8 s Rasch-Modell (DE-588)4176964-8 s 1\p DE-604 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025973065&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Engelhard, George 1953- Invariant measurement using Rasch models in the social, behavioral, and health sciences Sozialwissenschaften Psychometrics Invariant measures Rasch models Psychology Statistical methods Social sciences Statistical methods Psychometrie (DE-588)4176236-8 gnd Psychologie (DE-588)4047704-6 gnd Invariantes Maß (DE-588)4352361-4 gnd Rasch-Modell (DE-588)4176964-8 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4176236-8 (DE-588)4047704-6 (DE-588)4352361-4 (DE-588)4176964-8 (DE-588)4056995-0 |
| title | Invariant measurement using Rasch models in the social, behavioral, and health sciences |
| title_auth | Invariant measurement using Rasch models in the social, behavioral, and health sciences |
| title_exact_search | Invariant measurement using Rasch models in the social, behavioral, and health sciences |
| title_full | Invariant measurement using Rasch models in the social, behavioral, and health sciences George Engelhard, Jr. |
| title_fullStr | Invariant measurement using Rasch models in the social, behavioral, and health sciences George Engelhard, Jr. |
| title_full_unstemmed | Invariant measurement using Rasch models in the social, behavioral, and health sciences George Engelhard, Jr. |
| title_short | Invariant measurement |
| title_sort | invariant measurement using rasch models in the social behavioral and health sciences |
| title_sub | using Rasch models in the social, behavioral, and health sciences |
| topic | Sozialwissenschaften Psychometrics Invariant measures Rasch models Psychology Statistical methods Social sciences Statistical methods Psychometrie (DE-588)4176236-8 gnd Psychologie (DE-588)4047704-6 gnd Invariantes Maß (DE-588)4352361-4 gnd Rasch-Modell (DE-588)4176964-8 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Sozialwissenschaften Psychometrics Invariant measures Rasch models Psychology Statistical methods Social sciences Statistical methods Psychometrie Psychologie Invariantes Maß Rasch-Modell Statistik |
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