This Paper. Tutorial: Exploratory Data Analysis (EDA) with Categorical Variables ordinal) and the researcher is concerned with identifying the underlying components of a set of variables (or items) while maximizing the amount of variance . Problems inspired . The first column highlighted, "R Square Change", shows the increase in variation explained by the addition of the interaction term (i.e., the change in R 2).You can see that the change in R 2 is reported as .068, which is a proportion.More usually, this measure is reported as a percentage so we can say that the change in R 2 is 6.8% (i.e., .068 x 100 = 6.8%), which is the percentage increase . Add the dependent variable (Loyalty) to the Dependent box. This video demonstrates a feature in SPSS that will allow you to perform certain kinds of categorical data analysis (chi-square goodness of fit test, chi-square test of association, binary logistic. Hardcover. frequencies brand_2011. The data editor window is akin the Microsoft Excel spreadsheet - a huge table with rows and columns. Finally, we need to conduct a linear regression analysis to test the interaction effect. SPSS Library: How do I handle interactions of continuous andcategorical ... More importantly, it's an opportunity to identify and correct . SPSS Chi-Square Tests Value df Asymptotic About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators . It could be; raw data, or covariance matrix (S), or correlation matrix (R), or sum-of-square and cross-product (SSCP, Q). Read Paper. Analyze your data 1. If your data is scale level, try summaries or descriptives. The patterns of missing data are displayed, tabulated, and found to be random. Categorical variables selected for analysis Click OK to run the procedure.