DATE:
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SPSS Workshop:
1. Introduction to Statistics & SPSS Types of data, Population and Sampling, SPSS Descriptive Statistics, Graphing & Tabulating Data, Creating and Manipulating Variables, The Normal Distribution, Probability and Inferential Stats, 2. Parametrics & Non-parametrics Tests 2 Independent & Dependent Groups (t-test, Mann-Whitney U, paired t-test, Wilcoxon's), K Independent & Dependent Groups (Anova, Kruskal-Wallis, Repeated Anova, Friedman) 3. Simple Linear Regression Overview, Correlation, Correlation Coefficients, Simple Linear Regression, Assumptions, Using SPSS for Simple Linear Regression part 1 - running the analysis, Using SPSS for Simple Linear Regression part 2 - interpretting the output 4. Multiple Linear Regression Overview, The Multiple Linear Regression Model, Assumptions of Multiple Linear Regression, A model with a ordinal explanatory variable (Model 1), Adding dichotomous nominal explanatory variables (Model 2), Adding nominal variables with more than two categories (Model 3), Predicting scores using the regression model, Refining the model: treating ordinal variables as dummy variables (Model 4), Comparing coefficients across models, Exploring interactions between a dummy and a continuous variable (Model 5), Exploring interactions between two nominal variables, A value added model, Model diagnostics and checking your assumptions, Reporting your results |
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