Statistical test theory for the behavioral sciences:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton [u.a.]
Chapman & Hall/CRC
2008
|
| Schriftenreihe: | Statistics in the social and behavioral sciences series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | 264 S. graph. Darst. |
| ISBN: | 9781584889588 |
Internformat
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| 650 | 4 | |a Social sciences |x Statistical methods | |
| 650 | 4 | |a Psychometrics | |
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Datensatz im Suchindex
| _version_ | 1804148802374860800 |
|---|---|
| adam_text | Titel: Statistical test theory for the behavioral sciences
Autor: Gruijter, Dato N. M. de
Jahr: 2008
Table of Contents
Chapter 1 Measurement and Scaling...............................................1
1.1 Introduction..................................................................................1
1.2 Definition of a test.......................................................................1
1.3 Measurement and scaling...........................................................2
Exercises..................................................................................................7
Chapter 2 Classical Test Theory.......................................................9
2.1 Introduction..................................................................................9
2.2 True score and measurement error............................................9
2.3 The population of persons.........................................................12
Exercises................................................................................................14
Chapter 3 Classical Test Theory and Reliability...........................15
3.1 Introduction................................................................................15
3.2 The definition of reliability and the standard
error of measurement................................................................15
3.3 The definition of parallel tests..................................................17
3.4 Reliability and test length........................................................19
3.5 Reliability and group homogeneity...........................................20
3.6 Estimating the true score.........................................................21
3.7 Correction for attenuation.........................................................23
Exercises................................................................................................23
Chapter 4 Estimating Reliability....................................................25
4.1 Introduction................................................................................25
4.2 Reliability estimation from a single administration
of a test.......................................................................................26
4.3 Reliability estimation with parallel tests................................36
4.4 Reliability estimation with the test-retest method................36
4.5 Reliability and factor analysis..................................................37
4.6 Score profiles and estimation of true scores............................37
4.7 Reliability and conditional errors of measurement................42
Exercises................................................................................................44
Chapter 5 Generalizability Theory.................................................47
5.1 Introduction................................................................................47
5.2 Basic concepts of G theory........................................................48
5.3 One-facet designs, the p x i design
and the i : p design....................................................................50
5.3.1 The crossed design........................................................50
5.3.2 The nested i : p design.................................................54
5.4 The two-facet crossed p x i x j design......................................55
5.5 An example of a two-facet crossed p x i x j design:
The generalizability of job performance measurements.........59
5.6 The two-facet nested p x (i : j) design......................................60
5.7 Other two-facet designs.............................................................62
5.8 Fixed facets................................................................................64
5.9 Kinds of measurement errors...................................................67
5.10 Conditional error variance........................................................73
5.11 Concluding remarks...................................................................74
Exercises................................................................................................75
Chapter 6 Models for Dichotomous Items......................................79
6.1 Introduction................................................................................79
6.2 The binomial model...................................................................80
6.2.1 The binomial model in a homogeneous
item domain..................................................................82
6.2.2 The binomial model in a heterogeneous
item domain..................................................................87
6.3 The generalized binomial model...............................................88
6.4 The generalized binomial model and item
response models.........................................................................91
6.5 Item analysis and item selection..............................................92
Exercises................................................................................................98
Chapter 7 Validity and Validation of Tests..................................101
7.1 Introduction..............................................................................101
7.2 Validity and its sources of evidence.......................................103
7.3 Selection effects in validation studies....................................106
7.4 Validity and classification.......................................................108
7.5 Selection and classification with more than
one predictor.............................................................................115
7.6 Convergent and discriminant validation: A strategy
for evidence-based validity......................................................118
7.6.1 The multitrait-multimethod approach.....................119
7.7 Validation and IRT..................................................................121
7.8 Research validity: Validity in empirical behavioral
research....................................................................................122
Exercises..............................................................................................123
Chapter 8 Principal Component Analysis, Factor
Analysis, and Structural Equation
Modeling: A Very Brief Introduction..........................125
8.1 Introduction..............................................................................125
8.2 Principal component analysis (PCA)......................................125
8.3 Exploratory factor analysis.....................................................127
8.4 Confirmatory factor analysis and structural
equation modeling....................................................................130
Exercises..............................................................................................132
Chapter 9 Item Response Models.................................................133
9.1 Introduction..............................................................................133
9.2 Basic concepts..........................................................................134
9.2.1 The Rasch model........................................................135
9.2.2 Two- and three-parameter logistic models...............136
9.2.3 Other IRT models.......................................................139
9.3 The multivariate normal distribution
and polytomous items..............................................................143
9-4 Item-test regression and item response models....................146
9-5 Estimation of item parameters...............................................148
9.6 Joint maximum likelihood estimation for item
and person parameters............................................................150
9.7 Joint maximum likelihood estimation
and the Rasch model...............................................................151
9-8 Marginal maximum likelihood estimation.............................153
9.9 Markov chain Monte Carlo.....................................................154
9.10 Conditional maximum likelihood estimation
in the Rasch model..................................................................156
9.11 More on the estimation of item parameters..........................157
9.12 Maximum likelihood estimation of person
parameters................................................................................160
9.13 Bayesian estimation of person parameters...........................162
9.14 Test and item information.......................................................162
9.15 Model-data fit...........................................................................167
9.16 Appendix: Maximum likelihood estimation
of è in the Rasch model...........................................................170
Exercises..............................................................................................174
Chapter 10 Applications of Item Response Theory.....................177
10.1 Introduction..............................................................................177
10.2 Item analysis and test construction.......................................179
10.3 Test construction and test development................................180
10.4 Item bias or DIF......................................................................182
10.5 Deviant answer patterns.........................................................189
10.6 Computerized adaptive testing (CAT)....................................191
10.7 IRT and the measurement of change.....................................194
10.8 Concluding remarks.................................................................195
Exercises..............................................................................................197
Chapter 11 Test Equating..............................................................199
11.1 Introduction..............................................................................199
11.2 Some basic data collection designs
for equating studies.................................................................202
11.2.1 Design 1: Single-group design...................................202
11.2.2 Design 2: Random-groups design..............................203
11.2.3 Design 3: Anchor-test design.....................................203
11.3 The equipercentile method......................................................204
11.4 Linear equating........................................................................207
11.5 Linear equating with an anchor test.....................................208
11.6 A synthesis of observed score equating
approaches: The kernel method..............................................212
11.7 IRT models for equating..........................................................212
11.7.1 The Rasch model........................................................213
11.7.2 The 2PL model............................................................214
11.7.3 The 3PL model............................................................215
11.7.4 Other models...............................................................216
11.8 Concluding remarks.................................................................216
Exercises..............................................................................................219
Answers..............................................................................................221
References.........................................................................................235
Author Index....................................................................................255
Subject Index...................................................................................261
|
| any_adam_object | 1 |
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| discipline | Soziologie Mathematik |
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| isbn | 9781584889588 |
| language | English |
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| spelling | Gruijter, Dato N. M. de Verfasser aut Statistical test theory for the behavioral sciences Dato N. M. de Gruijter ; Leo J. Th. van der Kamp Boca Raton [u.a.] Chapman & Hall/CRC 2008 264 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistics in the social and behavioral sciences series Mathematisches Modell Sozialwissenschaften Social sciences Mathematical models Social sciences Statistical methods Psychometrics Psychological tests Educational tests and measurements Statistik (DE-588)4056995-0 gnd rswk-swf Test (DE-588)4059549-3 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Psychometrie (DE-588)4176236-8 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Statistik (DE-588)4056995-0 s Test (DE-588)4059549-3 s DE-604 Psychometrie (DE-588)4176236-8 s Kamp, Leo J. Th. van der 1937- Verfasser (DE-588)1060231441 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024722933&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gruijter, Dato N. M. de Kamp, Leo J. Th. van der 1937- Statistical test theory for the behavioral sciences Mathematisches Modell Sozialwissenschaften Social sciences Mathematical models Social sciences Statistical methods Psychometrics Psychological tests Educational tests and measurements Statistik (DE-588)4056995-0 gnd Test (DE-588)4059549-3 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Psychometrie (DE-588)4176236-8 gnd |
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| title | Statistical test theory for the behavioral sciences |
| title_auth | Statistical test theory for the behavioral sciences |
| title_exact_search | Statistical test theory for the behavioral sciences |
| title_full | Statistical test theory for the behavioral sciences Dato N. M. de Gruijter ; Leo J. Th. van der Kamp |
| title_fullStr | Statistical test theory for the behavioral sciences Dato N. M. de Gruijter ; Leo J. Th. van der Kamp |
| title_full_unstemmed | Statistical test theory for the behavioral sciences Dato N. M. de Gruijter ; Leo J. Th. van der Kamp |
| title_short | Statistical test theory for the behavioral sciences |
| title_sort | statistical test theory for the behavioral sciences |
| topic | Mathematisches Modell Sozialwissenschaften Social sciences Mathematical models Social sciences Statistical methods Psychometrics Psychological tests Educational tests and measurements Statistik (DE-588)4056995-0 gnd Test (DE-588)4059549-3 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Psychometrie (DE-588)4176236-8 gnd |
| topic_facet | Mathematisches Modell Sozialwissenschaften Social sciences Mathematical models Social sciences Statistical methods Psychometrics Psychological tests Educational tests and measurements Statistik Test Psychometrie |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024722933&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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