Principles and practice of structural equation modeling:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York [u.a.]
Guilford Press
2011
|
| Edition: | 3. ed. |
| Series: | Methodology in the social sciences
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XVI, 427 S. Ill., graph. Darst. |
| ISBN: | 9781606238776 9781606238769 |
Staff View
MARC
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| 100 | 1 | |a Kline, Rex B. |e Verfasser |0 (DE-588)1026732069 |4 aut | |
| 245 | 1 | 0 | |a Principles and practice of structural equation modeling |c Rex B. Kline |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a New York [u.a.] |b Guilford Press |c 2011 | |
| 300 | |a XVI, 427 S. |b Ill., graph. Darst. | ||
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Record in the Search Index
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| adam_text | reface
and Acknowledgments
ternational (LISREL). In particular, I wish to thank Linda
Muthén
and Peter
for their comments on earlier drafts of descriptions of, respectively, Mplus and
id once again, my heartfelt thanks to my wife, Joanna, and children, Julia and
r
all their love and support while writing this book.
Rex B. Kline
Montreal
rexMine@concorâia. ca
Contents
PART I. CONCEPTS AND TOOLS
1 ·
Introduction
3
The Book s Website
3
Pedagogical Approach
4
Getting Ready to Learn about
SEM 5
Characteristics of
SEM 7
Widespread Enthusiasm, but with a Cautionary Tale
13
Family History and a Reminder about Context
15
Extended Latent Variable Families
16
Plan of the Book
17
Summary
18
2 ·
Fundamental Concepts
19
Multiple Regression
19
Partial Correlation and Part Correlation
28
Other Bivariate Correlations
31
Logistic Regression
32
Statistical Tests
33
Bootstrapping
42
Summary
43
Recommended Readings
44
Exercises
45
3 ·
Data Preparation
46
Forms of Input Data
46
Positive Definiteness
49
Data Screening
51
Selecting Good Measures and Reporting about Them
68
Summary
72
Recommended Readings
72
Exercises
73
4 ·
Computer Tools
75
Ease of Use, Not Suspension of Judgment
75
Human-Computer Interaction
77
xiv Contents
Core SEM
Programs and Book Website Resources
77
Other Computer Tools
86
Summary
87
Recommended Readings
87
PART II. CORE TECHNIQUES
5 ·
Specification
91
Steps of
SEM 91
Model Diagram Symbols
95
Specification Concepts
96
Path Analysis Models
103
CFA
Models
112
Structural Regression Models
118
Exploratory
SEM 121
Summary
121
Recommended Readings
122
Exercises
122
6 ·
Identification
124
General Requirements
124
Unique Estimates
130
Rule for Recursive Structural Models
132
Rules for Nonrecursive Structural Models
132
Rules for Standard
CFA
Models
137
Rules for
Nonstandard
CFA
Models
138
Rules for SR Models
144
A Healthy Perspective on Identification
146
Empirical Underidentification
146
Managing Identification Problems
147
Summary
148
Recommended Readings
149
Exercises
149
APPENDIX 6.A. Evaluation of the Rank Condition
151
7 ·
Estimation
154
Maximum Likelihood Estimation
154
Detailed Example
160
Brief Example with a Start Value Problem
172
Fitting Models to Correlation Matrices
175
Alternative Estimators
176
A Healthy Perspective on Estimation
182
Summary
182
Recommended Readings
183
Exercises
183
APPENDIX 7.A. Start Value Suggestions for Structural Models
185
APPENDIX 7.B. Effect Decomposition in Nonrecursive Models
186
and the Equilibrium Assumption
APPENDIX 7.C. Corrected Proportions of Explained Variance
187
for Nonrecursive Models
Contents
8 ·
Hypothesis
Testing
Eyes on the Prize
189
State of Practice, State of Mind
190
A Healthy Perspective on Fit Statistics
191
Types of Fit Statistics and Golden Rules
193
Model Chi-Square
199
Approximate Fit Indexes
204
Visual Summaries of Fit
209
Recommended Approach to Model Fit Evaluation
209
Detailed Example
210
Testing Hierarchical Models
214
Comparing Nonhierarchical Models
219
Power Analysis
222
Equivalent and Near-Equivalent Models
225
Summary
228
Recommended Readings
228
Exercises
229
9 ·
Measurement Models and Confirmatory Factor Analysis
Naming and Reification Fallacies
230
Estimation of
CFA
Models
231
Detailed Example
233
Respecification of Measurement Models
240
Special Topics and Tests
241
Items as Indicators and Other Methods for Analyzing Items
244
Estimated Factor Scores
245
Equivalent
CFA
Models
245
Hierarchical
CFA
Models
248
Models for Multitrait-Multimethod Data
250
Measurement
Invariance
and Multiple-Sample
CFA
251
Summary
261
Recommended Readings
262
Exercises
262
APPENDIX 9.A. Start Value Suggestions for Measurement Models
APPENDIX 9.B. Constraint Interaction in Measurement Models
10 ·
Structural Regression Models
Analyzing SR Models
265
Estimation of SR Models
269
Detailed Example
270
Equivalent SR Models
276
Single Indicators in Partially Latent SR Models
276
Cause Indicators and Formative Measurement
280
Invariance
Testing of SR Models
288
Reporting Results of
SEM
Analyses
289
Summary
293
Recommended Readings
293
Exercises
294
APPENDIX 10.A. Constraint Interaction in SR Models
xvi Contents
PART III. ADVANCED TECHNIQUES, AVOIDING MISTAKES
11 ·
Mean Structures and Latent Growth Models
299
Logic of Mean Structures
299
Identification of Mean Structures
303
Estimation of Mean Structures
304
Latent Growth Models
304
Structured Means in Measurement Models
316
MIMIC Models as an Alternative to Multiple-Sample Analysis
322
Summary
325
Recommended Readings
326
12 ·
Interaction Effects and Multilevel
SEM 327
Interaction Effects of Observed Variables
327
Interaction Effects in Path Models
331
Mediation and Moderation Together
333
Interactive Effects of Latent Variables
336
Estimation with the Kenny-Judd Method
337
Alternative Estimation Methods
340
Rationale of Multilevel Analysis
343
Basic Multilevel Techniques
345
Convergence of
SEM
and MLM
348
Multilevel
SEM 350
Summary
354
Recommended Readings
354
13 ·
How to Fool Yourself with
SEM 356
Tripping at the Starting Line: Specification
356
Improper Care and Feeding: Data
359
Checking Critical Judgment at the Door: Analysis and
Respecifica
tion
361
The Garden Path: Interpretation
363
Summary
366
Recommended Readings
366
Suggested Answers to Exercises
367
References
387
Author Index
405
Subject Index
411
About the Author
427
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| language | English |
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| spelling | Kline, Rex B. Verfasser (DE-588)1026732069 aut Principles and practice of structural equation modeling Rex B. Kline 3. ed. New York [u.a.] Guilford Press 2011 XVI, 427 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Methodology in the social sciences Strukturgleichungsmodell (DE-588)4252999-2 gnd rswk-swf Strukturgleichungsmodell (DE-588)4252999-2 s DE-604 Digitalisierung UB Augsburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020418761&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Kline, Rex B. Principles and practice of structural equation modeling Strukturgleichungsmodell (DE-588)4252999-2 gnd |
| subject_GND | (DE-588)4252999-2 |
| title | Principles and practice of structural equation modeling |
| title_auth | Principles and practice of structural equation modeling |
| title_exact_search | Principles and practice of structural equation modeling |
| title_full | Principles and practice of structural equation modeling Rex B. Kline |
| title_fullStr | Principles and practice of structural equation modeling Rex B. Kline |
| title_full_unstemmed | Principles and practice of structural equation modeling Rex B. Kline |
| title_short | Principles and practice of structural equation modeling |
| title_sort | principles and practice of structural equation modeling |
| topic | Strukturgleichungsmodell (DE-588)4252999-2 gnd |
| topic_facet | Strukturgleichungsmodell |
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