Longitudinal structural equation modeling:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Guilford
2013
|
| Schriftenreihe: | Methodology in the social sciences
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | XXII, 386 S. graph. Darst. |
| ISBN: | 9781462510160 |
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Datensatz im Suchindex
| _version_ | 1804150409360572416 |
|---|---|
| adam_text | Titel: Longitudinal structural equation modeling
Autor: Little, Todd D
Jahr: 2013
Contents
1 • Overview and Foundations of Structural Equation Modeling 1
An Overview of the Conceptual Foundations of SEM 2
Concepts, Constructs, and Indicators 2
From Concepts to Constructs to Indicators to Good Models 3
Sources of Variance in Measurement 5
Classica! Test Theorem 6
Expanding Classica! Test Theorem 8
Characteristics of Indicators and Constructs 9
Types of Indicators and Constructs 10
Categorical versus Metrical Indicators and Constructs 12
Types of Correlation Coefficients That Can Be Modeled 13
A Simple Taxonomy of Indicators and Their Roles 14
Rescaling Variables 17
Parceling 20
What Changes and How? 25
Some Advice for SEM Programming 27
Philosophical Issues and How I Approach Research 29
Summary 32
Key Terms and Concepts Introduced in This Chapter 33
Recommended Readings 35
2 • Design Issues in Longitudinal Studies 37
Timing of Measurements and Conceptualizing Time 37
Cross-Sectional Design 39
Single-Cohort Longitudinal Design 40
Cross-Sequential Design 41
Cohort-Sequential Design 42
Time-Sequential Design 42
Other Validity Concerns 43
Temporal Design 47
Lags within the Interval of Measurement 49
Episodic and Experiential Time 49
xx Contents
Missing Data Imputation and Planned Missing Designs 52
Missing Data Mechanisms 53
Recommendations and Caveats 57
Planned Missing Data Designs in Longitudinal Research 60
Modeling Developmental Processes in Context 62
Summary 66
Key Terms and Concepts Introduced in This Chapter 66
Recommended Readings 69
3 • The Measurement Model 71
Drawing and Labeling Conventions 71
Defining the Parameters of a Construct 75
Scale Setting 79
Identification 85
Adding Means to the Model: Scale Setting and Identification with Means 90
Adding a Longitudinal Component to the CFA Model 94
Adding Phantom Constructs to the CFA Model 96
Summary 102
Key Terms and Concepts Introduced in This Chapter 102
Recommended Readings 104
4 • Model Fit, Sample Size, and Power 106
Model Fit and Types of Fit Indices 106
Statistical Rationale 107
Modeling Rationale 108
The Longitudinal Null Model 112
Summary and Cautions 118
Sample Size 119
Power 127
Summary 134
fCey Terms and Concepts Introduced in This Chapter 134
Recommended Readings 136
5 • The Longitudinal CFA Model 137
Factorial Invariance 137
A Small (Nearly Perfect) Data Example 143
Configurai Factorial Invariance 143
Weak Factorial Invariance 145
Strong Factorial Invariance 148
Evaluating Invariance Constraints 154
Model Modification 156
Partial Invariance 158
A Larger Example Followed by Tests of the Latent Construct Relations 160
Testing the Latent Construct Parameters 167
An Application of a Longitudinal SEM to a Repeated-Measures
Experiment 170
Summary 176
Key Terms and Concepts Introduced in This Chapter 177
Recommended Readings 179
Contents xx¡
6 • Specifying and Interpreting a Longitudinal Panel Model 180
Basics of a Panel Model 181
The Basic Simplex Change Process 184
Building a Panel Model 189
Covariate/Control Variables 190
Building the Panel Model of Positive and Negative Affect 191
Illustrative Examples of Panel Models 198
A Simplex Model of Cognitive Development 198
Two Simplex Models of Nonlongitudinal Data 201
A Panel Model of Bullying and Homophobic Teasing 203
Summary 205
Key Terms and Concepts Introduced in This Chapter 205
Recommended Readings 207
7 • Multiple-Group Models 209
Multiple-Group Longitudinal SEM 210
Step 1: Estimate Missing Data and Evaluate the Descriptive Statistics 211
Step 2: Perform Any Supplemental Analysis to Rule Out Potential
Confounds 212
Step 3: Fit an Appropriate Multiple-Croup Longitudinal Null Model 215
Step 4: Fit the Configurai Invariant Model across Time and Groups 216
Step 5: Test for Weak Factorial (Loadings) Invariance 217
Step 6: Test for Strong Factorial (Intercepts) Invariance 218
Step 7: Test for Mean-Level Differences in the Latent Constructs 220
Step 8: Test for the Homogeneity of the Variance-Covariance Matrix
among the Latent Constructs 221
Step 9: Test the Longitudinal SEM Model in Each Group 222
A Dynamic P-Technique Multiple-Group Longitudinal Model 227
Summary 243
Key Terms and Concepts Introduced in This Chapter 244
Recommended Readings 245
8 • Multilevel Growth Curves and Multilevel SEM 246
Longitudinal Growth Curve Model 247
Multivariate Growth Curve Models 261
Multilevel Longitudinal Model 273
Summary 282
Key Terms and Concepts Introduced in This Chapter 282
Recommended Readings 283
9 • Mediation and Moderation 286
Making the Distinction between Mediators and Moderators 287
Cross-Sectional Mediation 290
Half-Longitudinal Mediation 293
Full Longitudinal Mediation 298
Moderation 307
Summary 321
Key Terms and Concepts Introduced in This Chapter 322
Recommended Readings 322
xxü Contents
10 • Jambalaya: Complex Construct Representations 325
and Decompositions
Multitrait-Multimethod Models 325
Pseudo-MTMM Models 332
Bifactor and Higher Order Factor Models 339
Contrasting Different Variance Decompositions 341
Digestif 350
Key Terms and Concepts Introduced in This Chapter 352
Recommended Readings 353
References 355
Author Index 367
Subject Index 371
About the Author 386
Contents
1 • Overview and Foundations of Structural Equation Modeling
An Overview of the Conceptual Foundations of SEM 2
Concepts, Constructs, and Indicators 2
From Concepts to Constructs to Indicators to Good Models 3
Sources of Variance in Measurement 5
Classical Test Theorem 6
Expanding Classical Test Theorem 8
Characteristics of Indicators and Constructs 9
Types of Indicators and Constructs 10
Categorical versus Metrical Indicators and Constructs 12
Types of Correlation Coefficients That Can Be Modeled 13
A Simple Taxonomy of Indicators and Their Roles 14
Rescaling Variables 17
Parceling 20
What Changes and How? 25
Some Advice for SEM Programming 27
Philosophical Issues and How I Approach Research 29
Summary 32
Key Terms and Concepts Introduced in This Chapter 33
Recommended Readings 35
2 • Design Issues in Longitudinal Studies
Timing of Measurements and Conceptualizing Time 37
Cross-Sectional Design 39
Single-Cohort Longitudinal Design 40
Cross-Sequential Design 41
Cohort-Sequential Design 42
Time-Sequential Design 42
Other Validity Concerns 43
Temporal Design 47
Lags within the Interval of Measurement 49
Episodic and Experiential Time 49
xx Contents
Missing Data Imputation and Planned Missing Designs 52
Missing Data Mechanisms 53
Recommendations and Caveats 57
Planned Missing Data Designs in Longitudinal Research 60
Modeling Developmental Processes in Context 62
Summary 66
Key Terms and Concepts Introduced in This Chapter 66
Recommended Readings 69
3 • The Measurement Model 71
Drawing and Labeling Conventions 71
Defining the Parameters of a Construct 75
Scale Setting 79
Identification 85
Adding Means to the Model: Scale Setting and Identification with Means 90
Adding a Longitudinal Component to the CFA Model 94
Adding Phantom Constructs to the CFA Model 96
Summary 102
Key Terms and Concepts Introduced in This Chapter 102
Recommended Readings 104
4 • Model Fit, Sample Size/ and Power 106
Model Fit and Types of Fit Indices 106
Statistical Rationale 107
Modeling Rationale 108
The Longitudinal Null Model 112
Summary and Cautions 118
Sample Size 119
Power 127
Summary 134
Key Terms and Concepts Introduced in This Chapter 134
Recommended Readings 136
5 • The Longitudinal CFA Model
Factorial Invariance 137
A Small (Nearly Perfect) Data Example 143
Configura! Factorial Invariance 143
Weak Factorial Invariance 145
Strong Factorial Invariance 148
Evaluating Invariance Constraints 154
Model Modification 156
Partial Invariance 158
A Larger Example Followed by Tests of the Latent Construct Relations
Testing the Latent Construct Parameters 167
An Application of a Longitudinal SEM to a Repeated-Measures
Experiment 170
Summary 176
Key Terms and Concepts Introduced in This Chapter 177
Recommended Readings 179
137
160
Contents xxi
6 • Specifying and interpreting a Longitudinal Panel Model 180
Basics of a Panel Model 181
The Basic Simplex Change Process 184
Building a Panel Model 189
Covariate!Control Variables 190
Building the Panel Model of Positive and Negative Affect 191
Illustrative Examples of Panel Models 198
A Simplex Model of Cognitive Development 198
Two Simplex Models of Nonlongitudinal Data 201
A Panel Model of Bullying and Homophobic Teasing 203
Summary 205
Key Terms and Concepts Introduced in This Chapter 205
Recommended Readings 207
7 • Multiple-Group Models 209
Multiple-Group Longitudinal SEM 210
Step 1 : Estimate Missing Data and Evaluate the Descriptive Statistics
Step 2: Perform Any Supplemental Analysis to Rule Out Potential
Confounds 212
Step 3: Fit an Appropriate Multiple-Group Longitudinal Null Model
Step 4: Fit the Configurai Invariant Model across Time and Groups
Step 5: Test for Weak Factorial (Loadings) Invariance 217
Step 6: Test for Strong Factorial (Intercepts) Invariance 218
Step 7: Test for Mean-Level Differences in the Latent Constructs 220
Step 8: Test for the Homogeneity of the Variance-Covariance Matrix
among the Latent Constructs 221
Step 9: Test the Longitudinal SEM Model in Each Group 222
A Dynamic P-Technique Multiple-Group Longitudinal Model 227
Summary 243
Key Terms and Concepts Introduced in This Chapter 244
Recommended Readings 245
8 • Multilevel Growth Curves and Multilevel SEM 246
Longitudinal Growth Curve Model 247
Multivariate Growth Curve Models 261
Multilevel Longitudinal Model 273
Summary 282
Key Terms and Concepts Introduced in This Chapter 282
Recommended Readings 283
9 • Mediation and Moderation 286
Making the Distinction between Mediators and Moderators 287
Cross-Sectional Mediation 290
Half-Longitudinal Mediation 293
Full Longitudinal Mediation 298
Moderation 307
Summary 321
Key Terms and Concepts Introduced in This Chapter 322
Recommended Readings 322
211
215
216
xxii Contents
10« Jambalaya: Complex Construct Representations
and Decompositions
Multitrait-Multimethod Models 325
Pseudo-MTMM Models 332
Bifactor and Higher Order Factor Models 339
Contrasting Different Variance Decompositions 341
Digestif 350
Key Terms and Concepts Introduced in This Chapter 352
Recommended Readings 353
References
Author Index
Subject Index
About the Author
The companion website www.guilford.com/little-materials
provides downloadable data and syntax files for
the book’s examples as well as other support materials.
325
355
367
371
386
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| id | DE-604.BV041045673 |
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| indexdate | 2024-07-10T00:38:28Z |
| institution | BVB |
| isbn | 9781462510160 |
| language | English |
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| spelling | Little, Todd D. 1960- Verfasser (DE-588)1038167000 aut Longitudinal structural equation modeling Todd D. Little New York [u.a.] Guilford 2013 XXII, 386 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Methodology in the social sciences Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Strukturgleichungsmodell (DE-588)4252999-2 gnd rswk-swf Längsschnittuntersuchung (DE-588)4034036-3 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s Strukturgleichungsmodell (DE-588)4252999-2 s Sozialwissenschaften (DE-588)4055916-6 s Datenanalyse (DE-588)4123037-1 s DE-604 Längsschnittuntersuchung (DE-588)4034036-3 s 1\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026023012&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026023012&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Little, Todd D. 1960- Longitudinal structural equation modeling Sozialwissenschaften (DE-588)4055916-6 gnd Datenanalyse (DE-588)4123037-1 gnd Strukturgleichungsmodell (DE-588)4252999-2 gnd Längsschnittuntersuchung (DE-588)4034036-3 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4055916-6 (DE-588)4123037-1 (DE-588)4252999-2 (DE-588)4034036-3 (DE-588)4056995-0 |
| title | Longitudinal structural equation modeling |
| title_auth | Longitudinal structural equation modeling |
| title_exact_search | Longitudinal structural equation modeling |
| title_full | Longitudinal structural equation modeling Todd D. Little |
| title_fullStr | Longitudinal structural equation modeling Todd D. Little |
| title_full_unstemmed | Longitudinal structural equation modeling Todd D. Little |
| title_short | Longitudinal structural equation modeling |
| title_sort | longitudinal structural equation modeling |
| topic | Sozialwissenschaften (DE-588)4055916-6 gnd Datenanalyse (DE-588)4123037-1 gnd Strukturgleichungsmodell (DE-588)4252999-2 gnd Längsschnittuntersuchung (DE-588)4034036-3 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Sozialwissenschaften Datenanalyse Strukturgleichungsmodell Längsschnittuntersuchung Statistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026023012&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026023012&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT littletoddd longitudinalstructuralequationmodeling |