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Sub 1 screaming as Sub 1 leaves experiment. Requirements and Assumptions (Continued) Independent Errors: Residuals for Sub. Sometimes uncentered scores are meaningful Procedure upset M 2.94, SD 1.19 esteem M 3.94, SD 0.75 COMPUTE upcntr upset 2.94.ĬOMPUTE estcntr esteem 3.94 upcntr M 0, SD 1.19 esteem M 0, SD 0.75 Centering may affect the slopes of predictor and moderator, BUT it does not affect the interaction term.

Makes zero score meaningful Has other benefits Aguinas recommends doing it in some cases. Conduct regression, plotting, simple slopes analyses same as when predictor and moderator are both continuous variables. Regression Models to Test Moderating Effect of Tenure on Salary Increase Without Interaction Arguments b0 (ave.arguments) b1 (coffee.type) b2 (hositility.score) With Interaction Salary increase b0 (ave. Predictor: Caffeinated coffee Categorical Var. Moderated Multiple Regression with Continuous Predictor and Categorical Moderator (Aguinis, 2004) Problem: Does caffeine lead to more arguments, but mainly for people with hostile personalities Criterion: Weekly arguments Continuous Var. If significant, then the simple effect of upset for the high esteem slope is signif. Simple Slopes SignificantResults Regression NOTE: Key outcome is B of upset, Model 2. REGRESSION for the simple effect of high esteem (esthigh) MISSING LISTWISE STATISTICS COEFF OUTS BCOV R ANOVA CHANGE CRITERIAPIN(.05) POUT(.10) NOORIGIN DEPENDENT crytotl METHODENTER upset esthigh METHODENTER upset esthigh upesthi. Transform Z to Zcvh (CV conditional value) by subtracting ZH from Z. Plot values into graph Graph Displaying Simple Slopes Are the Simple Slopes Significant Question: Do the slopes of each of the simple effects lines (ZH, ZM, ZL) significantly differ from zero Procedure to test, using as an example ZH (the slope when esteem is high): 1. Select 3 values of Z that display the simple slopes of X when Z is low, when Z is average, and when Z is high.

Transform Y b0 b1X b2Z b3XZ into Y (b1 b3Z)X (b2Z b0) and insert values Y ( Z)X (Z ) 3.

Plotting Simple Slopes Compute regression to obtain values of Y b0 b1X b2Z b3XZ 2. Thus, when Z is one value, the X slope takes one shape, when Z is another value, the X slope takes other shape.