1. processR Shiny App

2. 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

3. 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

4. Select Process Macro Model Number
Select Model 1

5. Assign Variables

6. 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

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

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

9. 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.

10. 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

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

12. 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

13. 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( )
Something is amiss here. The fit for any saturated model is perfect.

14. 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

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

16. 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

17. 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.

18. SIMPLE SLOPES ANALYSIS Slope of Misanth when IdealismG = 0
SIMPLE SLOPES ANALYSIS Slope of Misanth when IdealismG = (0): Nonidealists Est. S.E. t val. p
Slope of Misanth when IdealismG = (1): Idealists Est. S.E. t val. p

19. 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