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5.1: CFA with continuous factor indicators |
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5.2: CFA with categorical factor indicators |
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5.3: CFA with continuous and categorical factor indicators |
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5.4: CFA with censored and count factor indicators |
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5.5: Two-parameter logistic item response theory (IRT) model |
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5.6: Second-order factor analysis |
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5.7: Non-linear CFA |
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5.8: CFA with covariates (MIMIC) with continuous factor indicators |
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5.9: Mean structure CFA for continuous factor indicators |
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5.10: Threshold structure CFA for categorical factor indicators |
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5.11: SEM with continuous factor indicators |
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5.12: SEM with continuous factor indicators and an indirect effect for factors |
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5.13: SEM with continuous factor indicators and an interaction between two factors |
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5.14: Multiple group CFA with covariates (MIMIC) with continuous factor indicators and no mean structure |
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5.15: Multiple group CFA with covariates (MIMIC) with continuous factor indicators and a mean structure |
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5.16: Multiple group CFA with covariates (MIMIC) with categorical factor indicators and a threshold structure |
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5.17: Multiple group CFA with covariates (MIMIC) with categorical factor indicators and a threshold structure using the Theta parameterization |
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5.18: Two-group twin model for continuous outcomes where factors represent the ACE components |
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5.19: Two-group twin model for categorical outcomes where factors represent the ACE components |
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5.20: CFA with parameter constraints |
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5.21: Two-group twin model for continuous outcomes using parameter constraints |
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5.22: Two-group twin model for categorical outcomes using parameter constraints |
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5.23: QTL sibling model for a continuous outcome using parameter constraints |
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5.24: EFA with covariates (MIMIC) with continuous factor indicators and direct effects |
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5.25: SEM with EFA and CFA factors with continuous factor indicators |
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5.26: EFA at two time points with factor loading invariance and correlated residuals across time |
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5.27: Multiple-group EFA with continuous factor indicators |
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5.27: Multiple-group EFA with continuous factor indicators (part b) |
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5.27: Multiple-group EFA with continuous factor indicators (part c) |
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5.27: Multiple-group EFA with continuous factor indicators (part d) |
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5.27: Multiple-group EFA with continuous factor indicators (part e) |
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5.28: EFA with residual variances constrained to be greater than zero |
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5.29: Bi-factor EFA using ESEM |
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5.30: Bi-factor EFA with two items loading on only the general factor |
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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 |
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5.32: Bayesian MIMIC model with cross-loadings and direct effects with zero-mean and small-variance priors |
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5.33: Bayesian multiple group model with approximate measurement invariance using zero-mean and small-variance priors |
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