Page Comparison

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• Getting descriptive statistics (complete example)

• Using existing LISREL syntax files (complete example)

• Using existing LISREL project files (complete example)

• Using existing SIMPLIS syntax files (complete example)

• Using existing SIMPLIS project files (complete example)

• An introduction to SEM for single groups (complete example)

New 16 character examples:

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• Two-stage multiple imputation SEM for political efficacy data (complete example)

• Two-stage multiple imputation SEM for morality data (complete example)

• Two-stage multiple imputation SEM for panel data (complete example)

• Two-stage multiple imputation SEM using panel data

• Two-stage multiple imputation SEM using prostate cancer data

• Two-stage multiple imputation SEM using student data

• Two-stage multiple imputation SEM using simulated data for girls

SIMPLIS examples:

Regression models:

• Regression of GNP (complete example)

• Bivariate regression (complete example)

• Regression models with latent variables: regression of Verbal7 on Verbal5 (complete example)

• Regression models with latent variables: Head Start summer program (complete example)

Structural Equation Models without latent variables:

• SEM for directly observed variables (complete example)

Structural Equation Models with latent variables:

• Measurement models: Ability and aspiration (complete example)

• Path analysis with latent variables: stability of alienation (complete example)

• Path analysis with latent variables: performance and satisfaction (complete example)

• Non-recursive system: peer influences on ambition (complete example)

• Estimation of means of latent variables: mean difference in verbal ability (complete example)

• Estimation of means of latent variables: nine psychological variables with factor means (complete example)

• Structural equation model for work ethics data (complete example)

• Path diagrams (complete example)

• Confidence interval estimates for work ethic data (complete example)

Factor analysis and principal component analysis:

• A factor analysis model (complete example)

• Exploratory factor analysis (complete example)

• Confirmatory Factor Analysis with nine psychological variables (complete example)

• CFA for continuous variables without missing values (complete example)

• Confirmatory factor analysis of ordinal data: example 1 (complete example)

• Confirmatory factor analysis of ordinal data: example 2 (complete example)

• Standard errors for standardized solutions using student data (complete example)

Multiple group examples:

• Multi sample analyses using path diagrams (complete example)

• Multi-group analysis: equality of factor structures (complete example)

• Multi-group analysis: parental socioeconomic characteristics (complete example)

• Multi-group analysis: equal regressions (complete example)

Ordinal data analysis:

• Analysis of ordinal variables: panel model for political efficacy (complete example)

• A structural equation model for ordinal data (complete example)

• Ordinal variables without missing values (complete example)

Two-Stage Least Squares examples:

• Two-Stage Least Squares: Tintner’s meat market model (complete example)

Observational residuals examples:

• Latent variable scores(complete example)

• Latent variable scores and calculating residuals (complete example)

• Estimating residuals using the Kenny-Judd data (complete example)

Missing data examples:

• Latent curve model for continuous variables with missing values (complete example)

• Assessment of invariance (complete example)

• The assessment of validity of constructs (complete example)

• Exploring smoking habits of youth using NLSY79 data (complete example)

• Use of alcohol and tobacco by youth: NLSY79 data (complete example)

Additional SIMPLIS examples:

• SEMS using LISREL output (complete example)

• Fit statistics (complete example)

LISREL Examples:

Anova and regression:

• Analysis of variance and covariance (complete example)

• Stepwise regression (complete example)

Structural Equation Models without latent variables:

• Estimating the disattenuated correlation (complete example)

• Path analysis (complete example)

• Analysis based on covariance matrices: Example 1 (complete example)

• Analysis based on covariance matrices: Example 2 (complete example)

• Variance and covariance components (complete example)

Structural Equation Models with latent variables:

• Congeneric measures: multi factor model (complete example)

• Measurement error in regression (complete example)

• Path analysis with latent variables (complete example)

• Path analysis with latent variables: example 2 (complete example)

• Two-wave models (complete example)

• Two-wave models (complete example)

• Analysis based on covariance matrices: Example 3 (complete example)

• Subjective and objective social class (complete example)

• Latent variable models with interaction and non-linear relationships (complete example)

• Hypothesis testing and power calculation (complete example)

• Chi-squares in LISREL (complete example)

• Use of constraints in a LISREL model (complete example)

Factor analysis and Principal Component analysis:

• Confirmatory factor analysis (complete example)

• Second order factor analysis (complete example)

• Confirmatory factor analysis for school data (complete example)

• Confirmatory Factor Analysis for continuous variables without missing values (complete example)

• Principal components analysis of meteorological data (complete example)

• Factor analysis of dichotomous variables (complete example)

• Standard errors for standardized solutions using ability test data (complete example)

MIMIC and Simplex models:

• MIMIC models (complete example)

• Simplex models (complete example)

• Estimating correlation structures with WLS (complete example)

Mean structures examples:

• Mean structures: Example 1 (complete example)

• Mean structures: Example 2 (complete example)

Multiple group analysis:

• An introduction to SEM for multiple group analysis (complete example)

Missing data examples:

• Incomplete data (complete example)

• Single-group analysis with missing data (complete example)

• Multiple group analysis with missing data (complete example)

• Multiple imputation and FIML(complete example)

Latent curve examples:

• Growth curves(complete example)

Ordinal data analysis:

• Analysis of ordinal variables (complete example)

• Analysis of ordinal variables: example 2 (complete example)

Two-stage least squares:

• Econometric models (complete example)

Additional LISREL examples:

• Problems with analysis of correlation matrices(complete example)

• A model for tests that differ in length only(complete example)

PRELIS examples:

Exploring data and basic statistics:

• Data screening and summarization (complete example)

• Naming variables and categories of variables (complete example)

• Logarithmic transformations and recoding of variables (complete example)

• Exploratory analysis of fitness data (complete example)

• Exploratory analysis of political data (complete example)

• Data manipulation and bivariate plots (complete example)

• Normalizing variables (complete example)

• Regression (complete example)

• Estimated regressions (complete example)

• Compute matrix polyserial and polychoric correlations (complete example)

• Polychoric correlation matrix with all variables ordinal (MA = PM) (complete example)

• Tetrachoric correlations with asymptotic variance estimated from grouped data (complete example)

• Estimating asymptotic variances and covariances (MA=CM) (complete example)

• Estimating asymptotic variances and covariances (MA = KM) (complete example)

• Estimating asymptotic variances and covariances (MA=PM) (complete example)

• Test of univariate and multivariate normality (complete example)

• Threshold estimates (complete example)

• Latent variable models with interaction and non-linear relationships (complete example)

• Normal scores (complete example)

• Homogeneity tests for categorical variables (complete example)

• Multivariate multinomial probit regressions (complete example)

Imputation and bootstrap examples:

• Bootstrap samples (complete example)

• Monte Carlo studies

• Multiple imputation (complete example)

• Bootstrap estimates (complete example)

• Monte Carlo: generating normal variables (complete example)

• Monte Carlo: generating non-normal variables (complete example)

Factor analysis and Principal Components analysis:

• Exploratory factor analysis (complete example)

Ordinal data analysis:

• Preliminary analysis of ordinal data (complete example)

Two-Stage Least Squares examples:

• Two stage least squares (complete example)

• Two-Stage Least Squares: Klein’s model of the US economy (complete example)

Censored data:

• Notes by K G Jöreskog on censored variables and censored regression (complete example)

• Censored regression (complete example)