| Definitions |
| what are multivariate statistics? |
| what are bivariate statistics? |
| what are univariate statistics? |
| What is independent variable? |
| What is dependent variable? |
| what is continuous level measurement variable? |
| What is a covariate? |
| What is regression? |
| what is degree of relationship analysis? |
| what are criterion variables in regression analysis? |
| what is reliability? |
| what is validity? |
| what is a correlation? |
| what is causation? |
| what are examples of statistical tests? |
| what's an outlier? |
| what's normality |
| what is linearity? |
| what is homoscedasticity? |
| Descriptive Statistics |
| N |
| Minimum |
| Maximum |
| Mean |
| SD |
| Correlations |
| Pearson |
| Significance (two tailed) |
| N |
| T Test |
| t |
| df (degrees freedom) |
| mean difference |
| confidence level (lower and upper) |
| ANOVA |
| ANCOVA |
| MANOVA |
| factor analysis |
| regression analysis |
| SEM (structural equation modeling) |
| logistic regression |
| discriminant analysis |
| discriminant function analysis |
| Review Sheet Terms |
| Factor analysis |
| KMOs |
| Bartlett's |
| STOS |
| multivariate normality |
| sufficiency of correlations |
| What is an Eigen Value? |
| Communalities |
| What is a factor loading on a rotated matrix? |
| what are factors? |
| What's multiple regression? |
| what's a dummy variable? |
| what's multicollinearity |
| what's correlated error? |
| what does R2 stand for? |
| what are betas? |
| what's tolerance? |
| what is VIF? |
| What is discriminant analysis? |
| Box's M? |
| F Test |
| Wilks' Lambda |
| Canonical correlation |
| assumption of homogeneity? |
| significance of Ivs? |
| standardized discriminate coefficients |
| classification results |
| Manova? |
| nominal |
| ordinal |
| normal distribution? |
| Can you answer if you understand the terms in the below course description? If yes, good work. |
| This course provides an overview of advanced statistical techniques including detailed application using SPSS. The goal is to select and apply an appropriate multivariate statistical methodology, to a selected research question. Approaches include multiple regression, factorial analysis including MANOVA, factor analysis, multiple discriminant analysis, logistic regression, and structural equation modeling. The final product is a completed prospectus reflective of a quantitative design. It is strongly recommended that students take this course only in their final semester. |
| This course provides an overview of advanced statistical techniques including detailed application using SPSS. The goal is to select and apply an appropriate multivariate statistical methodology, to a selected research question. Approaches include multiple regression, factorial analysis including MANOVA, factor analysis, multiple discriminant analysis, logistic regression, and structural equation modeling. The final product is a completed prospectus reflective of a quantitative design. It is strongly recommended that students take this course only in their final semester. |
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