processR Shiny App http://web-r.space:3838/processR/

Select Data Click BROWSE and select the data file you wish to upload. It must be a .csv file with variable names in the first row. Use Potthoff.csv

You Are Shown 1st 10 Cases AR Misanth IdealismG 1.43 2.00 1.79 2.20 2.39 1 2.40 1.96 1.89 1.00 1.75 2.07 2.32 1.40 2.71

Select Process Macro Model Number Select Model 1

Assign Variables

Click Make Equation Click Make Equation Select -1 SD, Mean, +1 SD or 16th, 50th, 84th percentile Indicate whether you want simple effects at = -1 SD, mean, +1 SD or at 16th, 50th, and 84th percentiles

Conduct Analysis Click “Analysis” If you want results in a pptx file, click “download PPTx.”

Click Conceptual Diagram Misanth AR IdealismG Now click “Statistical Diagram.”

Click Statistical Diagram 0.3 0.779 -0.285 Misanth IdealismG Misanth:IdealismG AR This model is saturated, it includes every possible effect. Were we to delete in interaction term, it would not be saturated.

Parameter Estimates Variables Predictors label B SE z p β AR Misanth 0.30 0.08 3.68 < 0.001 0.27 IdealismG c2 0.78 0.33 2.33 0.020 0.52 Misanth:I dealismG c3 -0.28 0.11 -2.56 0.010 -0.46

Correlation Table rowna me AR Misanth Idealis mG Misanth .Idealis mG 1 0.22** 0.09 -0.10 0.14 0.93***

Correlation Plot 0.22* 0.09 -0.10 0.14 0.93*** Misanth.IdealismG IdealismG Misanth AR -1.0 -0.5 0.0 0.5 1.0 r value Correlation Coeffients by Pearson's product-moment correlation

Model Fit Table chisq df x2df p CFI GFI AGFI 393.18 2.00 196.59 0.00 0.03 0.96 0.75 TLI RMR SRMR RMSEA(9 5% CI) AIC BIC -1.43 0.20 0.43 1.13(1.03- 1.22) 1270.53 1306.97 Something is amiss here. The fit for any saturated model is perfect.

Model Coefficients Consequent AR(Y) Antecedent Coef SE t p Misanth(X) 0.300 0.081 3.723 <.001 IdealismG(W) c2 0.779 0.302 2.575 .011 Misanth:Idealis mG(X:W) c3 -0.285 0.126 -2.252 .026 Constant iY 1.626 0.199 8.173 Observations 154 R2 0.093 Adjusted R2 0.074 Residual SE 0.515 ( df = 150) F statistic F(3,150) = 5.099, p = .002

Interaction Plot 2.0 2.2 2.4 2.6 2.8 1 2 3 4 Misanth AR IdealismG

Simple Slope CIs IdealismG = 0.00 IdealismG = 1.00 0.0 0.2 0.4 -0.2 0.0 0.2 0.4 Slope of Misanth

Simple Slopes Analysis From the confidence intervals above, you can tell that The simple effect of misanthropy is significant (the CI excludes value zero) for nonidealists The simple effect is not significant for idealists (the CI includes zero) The output sent to the PPTx does not include any details on the simple effects test. If you print the output to pdf you will get details.

SIMPLE SLOPES ANALYSIS Slope of Misanth when IdealismG = 0 SIMPLE SLOPES ANALYSIS Slope of Misanth when IdealismG = 0.000 (0): Nonidealists Est. S.E. t val. p ------- ------- -------- ------- 0.300 0.081 3.723 0.000 Slope of Misanth when IdealismG = 1.000 (1): Idealists Est. S.E. t val. p ------- ------- -------- ------- 0.015 0.097 0.157 0.875

Johnson-Neyman Plot Johnson-Neyman plot Slope of Misanth IdealismG -0.25 0.00 0.25 0.50 0.75 -0.5 0.0 0.5 1.0 1.5 IdealismG Slope of Misanth Range of observed data n.s. p < .05 Johnson-Neyman plot