|
PART I CONCEPTS AND TOOLS |
|
|
|
|
3 | (16) |
|
|
3 | (1) |
|
|
4 | (1) |
|
Getting Ready to Learn about SEM |
|
|
5 | (2) |
|
|
7 | (6) |
|
Widespread Enthusiasm, but with a Cautionary Tale |
|
|
13 | (2) |
|
Family History and a Reminder about Context |
|
|
15 | (1) |
|
Extended Latent Variable Families |
|
|
16 | (1) |
|
|
17 | (1) |
|
|
18 | (1) |
|
|
19 | (27) |
|
|
19 | (9) |
|
Partial Correlation and Part Correlation |
|
|
28 | (3) |
|
Other Bivariate Correlations |
|
|
31 | (1) |
|
|
32 | (1) |
|
|
33 | (9) |
|
|
42 | (1) |
|
|
43 | (1) |
|
|
44 | (1) |
|
|
45 | (1) |
|
|
46 | (29) |
|
|
46 | (3) |
|
|
49 | (2) |
|
|
51 | (17) |
|
Selecting Good Measures and Reporting about Them |
|
|
68 | (4) |
|
|
72 | (1) |
|
|
72 | (1) |
|
|
73 | (2) |
|
|
75 | (16) |
|
Ease of Use, Not Suspension of Judgment |
|
|
75 | (2) |
|
Human-Computer Interaction |
|
|
77 | (1) |
|
Core SEM Programs and Book Website Resources |
|
|
77 | (9) |
|
|
86 | (1) |
|
|
87 | (1) |
|
|
87 | (4) |
|
|
|
|
91 | (33) |
|
|
91 | (4) |
|
|
95 | (1) |
|
|
96 | (7) |
|
|
103 | (9) |
|
|
112 | (6) |
|
Structural Regression Models |
|
|
118 | (3) |
|
|
121 | (1) |
|
|
121 | (1) |
|
|
122 | (1) |
|
|
122 | (2) |
|
|
124 | (30) |
|
|
124 | (6) |
|
|
130 | (2) |
|
Rule for Recursive Structural Models |
|
|
132 | (1) |
|
Rules for Nonrecursive Structural Models |
|
|
132 | (5) |
|
Rules for Standard CFA Models |
|
|
137 | (1) |
|
Rules for Nonstandard CFA Models |
|
|
138 | (6) |
|
|
144 | (2) |
|
A Healthy Perspective on Identification |
|
|
146 | (1) |
|
Empirical Underidentification |
|
|
146 | (1) |
|
Managing Identification Problems |
|
|
147 | (1) |
|
|
148 | (1) |
|
|
149 | (1) |
|
|
149 | (2) |
|
Appendix 6.A Evaluation of the Rank Condition |
|
|
151 | (3) |
|
|
154 | (35) |
|
Maximum Likelihood Estimation |
|
|
154 | (6) |
|
|
160 | (12) |
|
Brief Example with a Start Value Problem |
|
|
172 | (3) |
|
Fitting Models to Correlation Matrices |
|
|
175 | (1) |
|
|
176 | (6) |
|
A Healthy Perspective on Estimation |
|
|
182 | (1) |
|
|
182 | (1) |
|
|
183 | (1) |
|
|
183 | (2) |
|
Appendix 7.A Start Value Suggestions for Structural Models |
|
|
185 | (1) |
|
Appendix 7.B Effect Decomposition in Nonrecursive Models and the Equilibrium Assumption |
|
|
186 | (1) |
|
Appendix 7.C Corrected Proportions of Explained Variance for Nonrecursive Models |
|
|
187 | (2) |
|
|
189 | (41) |
|
|
189 | (1) |
|
State of Practice, State of Mind |
|
|
190 | (1) |
|
A Healthy Perspective on Fit Statistics |
|
|
191 | (2) |
|
Types of Fit Statistics and "Golden Rules" |
|
|
193 | (6) |
|
|
199 | (5) |
|
|
204 | (5) |
|
|
209 | (1) |
|
Recommended Approach to Model Fit Evaluation |
|
|
209 | (1) |
|
|
210 | (4) |
|
Testing Hierarchical Models |
|
|
214 | (5) |
|
Comparing Nonhierarchical Models |
|
|
219 | (3) |
|
|
222 | (3) |
|
Equivalent and Near-Equivalent Models |
|
|
225 | (3) |
|
|
228 | (1) |
|
|
228 | (1) |
|
|
229 | (1) |
|
9 Measurement Models and Confirmatory Factor Analysis |
|
|
230 | (35) |
|
Naming and Reification Fallacies |
|
|
230 | (1) |
|
|
231 | (2) |
|
|
233 | (7) |
|
Respecification of Measurement Models |
|
|
240 | (1) |
|
|
241 | (3) |
|
Items as Indicators and Other Methods for Analyzing Items |
|
|
244 | (1) |
|
|
245 | (1) |
|
|
245 | (3) |
|
|
248 | (2) |
|
Models for Multitrait-Multimethod Data |
|
|
250 | (1) |
|
Measurement Invariance and Multiple-Sample CFA |
|
|
251 | (10) |
|
|
261 | (1) |
|
|
262 | (1) |
|
|
262 | (1) |
|
Appendix 9.A Start Value Suggestions for Measurement Models |
|
|
263 | (1) |
|
Appendix 9.B Constraint Interaction in Measurement Models |
|
|
264 | (1) |
|
10 Structural Regression Models |
|
|
265 | (34) |
|
|
265 | (4) |
|
|
269 | (1) |
|
|
270 | (6) |
|
|
276 | (1) |
|
Single Indicators in Partially Latent SR Models |
|
|
276 | (4) |
|
Cause Indicators and Formative Measurement |
|
|
280 | (8) |
|
Invariance Testing of SR Models |
|
|
288 | (1) |
|
Reporting Results of SEM Analyses |
|
|
289 | (4) |
|
|
293 | (1) |
|
|
293 | (1) |
|
|
294 | (1) |
|
Appendix 10.A Constraint Interaction in SR Models |
|
|
295 | (4) |
|
PART III ADVANCED TECHNIQUES, AVOIDING MISTAKES |
|
|
|
11 Mean Structures and Latent Growth Models |
|
|
299 | (28) |
|
|
299 | (4) |
|
Identification of Mean Structures |
|
|
303 | (1) |
|
Estimation of Mean Structures |
|
|
304 | (1) |
|
|
304 | (12) |
|
Structured Means in Measurement Models |
|
|
316 | (6) |
|
MIMIC Models as an Alternative to Multiple-Sample Analysis |
|
|
322 | (3) |
|
|
325 | (1) |
|
|
326 | (1) |
|
12 Interaction Effects and Multilevel SEM |
|
|
327 | (29) |
|
Interaction Effects of Observed Variables |
|
|
327 | (4) |
|
Interaction Effects in Path Models |
|
|
331 | (2) |
|
Mediation and Moderation Together |
|
|
333 | (3) |
|
Interactive Effects of Latent Variables |
|
|
336 | (1) |
|
Estimation with the Kenny-Judd Method |
|
|
337 | (3) |
|
Alternative Estimation Methods |
|
|
340 | (3) |
|
Rationale of Multilevel Analysis |
|
|
343 | (2) |
|
Basic Multilevel Techniques |
|
|
345 | (3) |
|
Convergence of SEM and MLM |
|
|
348 | (2) |
|
|
350 | (4) |
|
|
354 | (1) |
|
|
354 | (2) |
|
13 How to Fool Yourself with SEM |
|
|
356 | (11) |
|
Tripping at the Starting Line: Specification |
|
|
356 | (3) |
|
Improper Care and Feeding: Data |
|
|
359 | (2) |
|
Checking Critical Judgment at the Door: Analysis and Respecification |
|
|
361 | (2) |
|
The Garden Path: Interpretation |
|
|
363 | (3) |
|
|
366 | (1) |
|
|
366 | (1) |
Suggested Answers to Exercises |
|
367 | (20) |
References |
|
387 | (18) |
Author Index |
|
405 | (6) |
Subject Index |
|
411 | (16) |
About the Author |
|
427 | |