| 내용 |
1, Getting started. - 2, Entering data. - 3, Preparing data for analysis. - 4, Working with commands, do-files, and results. - 5, Descriptive statistics and graphs for one variable. - 6, Statistics and graphs for two categorical variables. - 7, Tests for one or two means. - 8, Bivariate correlation and regression. - 9, Analysis of variance. - 10, Multiple regression. - 11, Logistic regression. - 12, Measurement, reliability, and validity. - 13, Working with missing values - multiple imputation. - 14, The sem and gsem commands. - 15, An introduction to multilevel analysis. - 16, Item response theory (IRT).
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