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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• 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)

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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)