Month: January 2016

Regression can be used to predict variables: IV: x axis (predictor) DV: y axis (criterion / outcome) Analyze -> Regression -> Linear  move variables into corresponding boxes ensure “Method = Enter” in SPSS raw equation: DV = (B [slope] x IV) + constant [intercept] standardised: ZDV = β [beta] x ZIV (standardised variables to Z scores) […]

Bivariate = linear relationship between TWO variables. Pearson correlation = r = parametric, assume normal distribution (more powerful) Spearman’s = ρ (rho) = nonparametric ranked data Analyze -> Correlations -> Bivariate Move variables into box on right Tick “Pearson” or “Spearman” In output look at the 2 numbers that are the same and significant. Scattergram: to […]

Chart Builder – doesn’t calculate mean scores for ordinal variables, so you have to change “measure” to “scale”, but it is easier to use quickly. Graphs -> Legacy Dialogs -> (choose graph) Simple Bar Chart: tick “summaries of separate variables” Right-click on chart in output, click “Edit content” Can add title (above the chart), footer […]