Example |
View output |
Download input |
Download data |
View Monte Carlo output |
Download Monte Carlo input |
---|

5.1: CFA with continuous factor indicators |
ex5.1 |
ex5.1.inp |
ex5.1.dat |
mcex5.1 |
mcex5.1.inp |

5.2: CFA with categorical factor indicators |
ex5.2 |
ex5.2.inp |
ex5.2.dat |
mcex5.2 |
mcex5.2.inp |

5.3: CFA with continuous and categorical factor indicators |
ex5.3 |
ex5.3.inp |
ex5.3.dat |
mcex5.3 |
mcex5.3.inp |

5.4: CFA with censored and count factor indicators |
ex5.4 |
ex5.4.inp |
ex5.4.dat |
mcex5.4 |
mcex5.4.inp |

5.5: Generalized partial credit model |
ex5.5 |
ex5.5.inp |
ex5.5.dat |
mcex5.5 |
mcex5.5.inp |

5.5: Two-parameter logistic IRT model (part 2) |
ex5.5 (part 2) |
ex5.5.inp (part 2) |
ex5.5.dat (part 2) |
mcex5.5 (part 2) |
mcex5.5.inp (part 2) |

5.5: Three-parameter logistic IRT model (part 3) |
ex5.5 (part 3) |
ex5.5.inp (part 3) |
ex5.5.dat (part 3) |
mcex5.5 (part 3) |
mcex5.5.inp (part 3) |

5.5: Four-parameter logistic IRT model (part 4) |
ex5.5 (part 4) |
ex5.5.inp (part 4) |
ex5.5.dat (part 4) |
mcex5.5 (part 4) |
mcex5.5.inp (part 4) |

5.6: Second-order factor analysis |
ex5.6 |
ex5.6.inp |
ex5.6.dat |
mcex5.6 |
mcex5.6.inp |

5.7: Non-linear CFA |
ex5.7 |
ex5.7.inp |
ex5.7.dat |
mcex5.7 |
mcex5.7.inp |

5.8: CFA with covariates (MIMIC) with continuous factor indicators |
ex5.8 |
ex5.8.inp |
ex5.8.dat |
mcex5.8 |
mcex5.8.inp |

5.9: Mean structure CFA for continuous factor indicators |
ex5.9 |
ex5.9.inp |
ex5.9.dat |
mcex5.9 |
mcex5.9.inp |

5.10: Threshold structure CFA for categorical factor indicators |
ex5.10 |
ex5.10.inp |
ex5.10.dat |
mcex5.10 |
mcex5.10.inp |

5.11: SEM with continuous factor indicators |
ex5.11 |
ex5.11.inp |
ex5.11.dat |
mcex5.11 |
mcex5.11.inp |

5.12: SEM with continuous factor indicators and an indirect effect for factors |
ex5.12 |
ex5.12.inp |
ex5.12.dat |
mcex5.12 |
mcex5.12.inp |

5.13: SEM with continuous factor indicators and an interaction between two factors |
ex5.13 |
ex5.13.inp |
ex5.13.dat |
mcex5.13 |
mcex5.13.inp |

5.14: Multiple group CFA with covariates (MIMIC) with continuous factor indicators and no mean structure |
ex5.14 |
ex5.14.inp |
ex5.14.dat |
mcex5.14 |
mcex5.14.inp |

5.15: Multiple group CFA with covariates (MIMIC) with continuous factor indicators and a mean structure |
ex5.15 |
ex5.15.inp |
ex5.15.dat |
mcex5.15 |
mcex5.15.inp |

5.16: Multiple group CFA with covariates (MIMIC) with categorical factor indicators and a threshold structure |
ex5.16 |
ex5.16.inp |
ex5.16.dat |
mcex5.16 |
mcex5.16.inp |

5.17: Multiple group CFA with covariates (MIMIC) with categorical factor indicators and a threshold structure using the Theta parameterization |
ex5.17 |
ex5.17.inp |
ex5.17.dat |
mcex5.17 |
mcex5.17.inp |

5.18: Two-group twin model for continuous outcomes where factors represent the ACE components |
ex5.18 |
ex5.18.inp |
ex5.18.dat |
mcex5.18 |
mcex5.18.inp |

5.19: Two-group twin model for categorical outcomes where factors represent the ACE components |
ex5.19 |
ex5.19.inp |
ex5.19.dat |
mcex5.19 |
mcex5.19.inp |

5.20: CFA with parameter constraints |
ex5.20 |
ex5.20.inp |
ex5.20.dat |
mcex5.20 |
mcex5.20.inp |

5.21: Two-group twin model for continuous outcomes using parameter constraints |
ex5.21 |
ex5.21.inp |
ex5.21.dat |
mcex5.21 |
mcex5.21.inp |

5.22: Two-group twin model for categorical outcomes using parameter constraints |
ex5.22 |
ex5.22.inp |
ex5.22.dat |
mcex5.22 |
mcex5.22.inp |

5.23: QTL sibling model for a continuous outcome using parameter constraints |
ex5.23 |
ex5.23.inp |
ex5.23.dat |
N/A |
N/A |

5.24: EFA with covariates (MIMIC) with continuous factor indicators and direct effects |
ex5.24 |
ex5.24.inp |
ex5.24.dat |
mcex5.24 |
mcex5.24.inp |

5.25: SEM with EFA and CFA factors with continuous factor indicators |
ex5.25 |
ex5.25.inp |
ex5.25.dat |
mcex5.25 |
mcex5.25.inp |

5.26: EFA at two time points with factor loading invariance and correlated residuals across time |
ex5.26 |
ex5.26.inp |
ex5.26.dat |
mcex5.26 |
mcex5.26.inp |

5.27: Multiple-group EFA with continuous factor indicators |
ex5.27 |
ex5.27.inp |
ex5.27.dat |
mcex5.27 |
mcex5.27.inp |

5.27: Multiple-group EFA with continuous factor indicators (part b) |
ex5.27b |
ex5.27b.inp |
ex5.27.dat |
N/A |
N/A |

5.27: Multiple-group EFA with continuous factor indicators (part c) |
ex5.27c |
ex5.27c.inp |
ex5.27.dat |
N/A |
N/A |

5.27: Multiple-group EFA with continuous factor indicators (part d) |
ex5.27d |
ex5.27d.inp |
ex5.27.dat |
N/A |
N/A |

5.27: Multiple-group EFA with continuous factor indicators (part e) |
ex5.27e |
ex5.27e.inp |
ex5.27.dat |
N/A |
N/A |

5.28: EFA with residual variances constrained to be greater than zero |
ex5.28 |
ex5.28.inp |
ex5.28.dat |
mcex5.28 |
mcex5.28.inp |

5.29: Bi-factor EFA using ESEM |
ex5.29 |
ex5.29.inp |
ex5.29.dat |
mcex5.29 |
mcex5.29.inp |

5.30: Bi-factor EFA with two items loading on only the general factor |
ex5.30 |
ex5.30.inp |
ex5.30.dat |
mcex5.30 |
mcex5.30.inp |

5.31: Bayesian bi-factor CFA with two items loading on only the general factor and cross-loadings with zero-mean and small-variance priors |
ex5.31 |
ex5.31.inp |
ex5.31.dat |
mcex5.31 |
mcex5.31.inp |

5.32: Bayesian MIMIC model with cross-loadings and direct effects with zero-mean and small-variance priors |
ex5.32 |
ex5.32.inp |
ex5.32.dat |
mcex5.32 |
mcex5.32.inp |

5.33: Bayesian multiple group model with approximate measurement invariance using zero-mean and small-variance priors |
ex5.33 |
ex5.33.inp |
ex5.33.dat |
mcex5.33 |
mcex5.33.inp |