Campus Software Resources  

Provides video tutorials on descriptive statistics, linear regression, ANOVA, and t-tests

Provides instructions on how to conduct the following statistical procedures: descriptive statistics, frequencies, z-scores, correlations, scatter plots, simple regression, reliability, T-tests, analysis of variance, factor analysis and Chi-square tests

Shows you how to create a dataset, open an existing dataset, change how variables are listed, analyze a dataset, create scatter plots, and copy tables to MS Word.

Shows you how to: prepare and organize your data for analysis, use Text Import Wizard to read text data files, use the SPSS Data Editor for entering data, save your SPSS data, conduct descriptive data analysis, generate a new variable, generate frequencies and descriptive statistics, simple linear regression, T-tests, and one-way ANOVA.

This video demonstrates how to setup a new SPSS database, which includes establishing variables and entering data.

This video demonstrates how to generate descriptive/ summary statistics for continuous variables along with the histogram in SPSS.

This video demonstrates how to run and interpret a T Test analysis in SPSS. The T Test compares the means of two groups, revealing if there is a statistically significant difference between the groups.

This video demonstrates how to run and interpret a bivariate correlation "r" (simple regression) in SPSS. The regression represents the strength and direction of the relationship between two continuous variables.

This video demonstrates how to run and interpret a Chi-Square analysis in SPSS. This test computes the extent to which categorical (nominal) variables are correlated. Chi-Square analyses are most robust when there are at least 5 elements in each cell of the Crosstabs table.