Principles and Practice of Structural Equation Modeling: Third Edition
Rex B. Kline
Third Edition Computer Syntax, Data, and Output Files
Download all files: PrinPracSEM3ComputerFiles.zip
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Chapter 7. Estimation Detailed example: Recursive path model of causes and effects of positive teacher-pupil interactions (Sava (2002), Figure 7.1, Table 7.1) |
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| Syntax | Data | Output | |
| EQS | sava-eqs.eqs | - | sava-eqs.out |
| LISREL | sava-lisrel.spl | - | sava-lisrel.out |
| Mplus | sava-mplus.inp | sava-mplus.dat | sava-mplus.out |
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Brief example with a start value problem: Nonrecursive path model of mother-child adjustment problems (Cooperman (1996), Figure 7.2, Table 7.6) |
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| Syntax | Data | Output | |
| EQS | cooperman-eqs.eqs | - | cooperman-eqs.out |
| LISREL | cooperman-lisrel.spl | - | cooperman-lisrel.out |
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Chapter 8. Hypothesis testing Detailed example: Recursive path model of illness factors (Roth et al. (1989), Figure 8.1, Table 3.4) |
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| Syntax | Data | Output | |
| EQS | roth-eqs.eqs | - | roth-eqs.out |
| LISREL | roth-lisrel.spl | - | roth-lisrel.out |
| Mplus | roth-mplus.inp | roth-mplus.dat | roth-mplus.out |
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Chapter 9. Measurement models and CFA Detailed example: Two-factor model of the KABC-I (Kaufman and Kaufman (1983), Figure 9.1, Table 9.1) |
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| Syntax | Data | Output | |
| EQS | kabc-cfa-eqs.eqs | - | kabc-cfa-eqs.out |
| LISREL | kabc-cfa-lisrel.spl | - | kabc-cfa-lisrel.out |
| Mplus | kabc-cfa-mplus.inp | kabc-cfa-mplus.dat | kabc-cfa-mplus.out |
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Measurement invariance example: Two-factor model of family-of-origin experiences and marital adjustment (Sabatelli & Bartle-Haring (2003), Figure 9.7, Table 9.8) |
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| Syntax | Data | Output | |
| EQS | sabatelli-eqs.eqs | - | sabatelli-eqs.out |
| LISREL | sabatelli-lisrel.spl | - | sabatelli-lisrel.out |
| Mplus | sabatelli-mplus.inp | sabatelli-mplus.dat | sabatelli-mplus.out |
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Chapter 10. Structural Regression Models Detailed example: Structural regression model of thought strategies and job satisfaction (Houghton & Jinkerson (2007), Figure 10.2, Table 10.1) CFA model |
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| Syntax | Data | Output | |
| EQS | houghton-cfa-eqs.eqs | - | houghton-cfa-eqs.out |
| LISREL | houghton-cfa-lisrel.eqs | - | houghton-cfa-lisrel.out |
| Mplus | houghton-cfa-mplus.inp | houghton-mplus.dat | houghton-cfa-mplus.out |
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SR model |
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| Syntax | Data | Output | |
| EQS | houghton-sr-eqs.eqs | - | houghton-sr-eqs.out |
| LISREL | houghton-sr-lisrel.eqs | - | houghton-sr-lisrel.out |
| Mplus | houghton-sr-mplus.inp | houghton-mplus.dat | houghton-sr-mplus.out |
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Structural regression model of acculturation and mental health status (Shen & Takeuchi (2001), Figure 10.5, Table 10.5) |
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| Syntax | Data | Output | |
| EQS | shen-eqs.eqs | - | shen-eqs.out |
| LISREL | shen-lisrel.spl | - | shen-lisrel.out |
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Structural regression model of risk as a latent composite (Worland (1984), Figure 10.7, Table 10.6) |
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| Syntax | Data | Output | |
| EQS | worland-eqs.eqs | - | worland-eqs.out |
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Chapter 11. Mean Structures and Latent Growth Models Latent growth model of change in alcohol use (Duncan & Duncan (1996), Figure 11.2, Table 11.2) |
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| Syntax | Data | Output | |
| EQS | duncan-change-eqs.eqs | - | duncan-change-eqs.out |
| Mplus | duncan-change-mplus.inp | duncan-mplus.dat | duncan-change-mplus.out |
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Latent growth model of prediction in change in alcohol use (Duncan & Duncan (1996), Figure 11.2, Table 11.2) |
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| Syntax | Data | Output | |
| EQS | duncan-prediction-eqs.eqs | - | duncan-prediction-eqs.out |
| Mplus | duncan-prediction-mplus.inp | duncan-mplus.dat | duncan-prediction-mplus.out |
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Measurement model of family-of-origin experiences and marital adjustment with means (Sabatelli & Bartle-Haring (2003), Figure 11.4, Table 9.8) |
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| Syntax | Data | Output | |
| EQS | sabatelli-means-eqs.eqs | - | sabatelli-means-eqs.out |
| LISREL | sabatelli-means-lisrel.eqs | - | sabatelli-means-lisrel.out |
| Mplus | sabatelli-means-mplus.inp | sabatelli-means-mplus.dat | sabatelli-means-mplus.out |
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MIMIC model of family-of-origin experiences and marital adjustment (Sabatelli & Bartle-Haring (2003), Figure 11.5, Table 11.10) |
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| Syntax | Data | Output | |
| LISREL | sabatelli-mimic-lisrel.spl | - | sabatelli-mimic-lisrel.out |
| Mplus | sabatelli-mimic-mplus.inp | sabatelli-mimic-mplus.dat | sabatelli-mimic-mplus.out |
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Chapter 12. Interaction Effects and Multilevel SEM Estimating curvilinear effects in SEM Analysis of an interactive effect of latent variables with the Kenny-Judd method (Kenny & Judd (1984), Figure 12.5, Table 12.3) |
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| Syntax | Data | Output | |
| Mplus | interaction-kenny-judd-mplus.inp | interaction-kenny-judd-mplus.dat | interaction-kenny-judd-mplus.out |
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Analysis of a quadratice effect of a latent variable with the Kenny-Judd method. Supplemental example: |
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| Syntax | Data | Output | |
| Mplus | quadratic-kenny-judd-mplus.inp | quadratic-kenny-judd-mplus.dat | quadratic-kenny-judd-mplus.out |
