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Regression Data
Results of Simple Moderator Analysis
Using the variables gender, a dichotomous (categorical) variable with two groups of male
and female, as the moderator (W), Bodily Shame, as measured by ESS-Bodily Shame, a
continuous-interval level of measurement variable, as the predictor (X) and Depression, as
measured by DASS-Depression, a continuous-interval level of measurement variable, as the
criterion (Y) from the EDCO 745 course dataset, a simple moderator analysis using Hayes
(2022) Model 1 was completed. In week six, the Regression Data: Screening Output Assignment
displayed data screenings and tests of assumptions for multiple regression. Even though the data
was not transformed, there was a minimal normality divergence for the residuals. With a large
sample size, consequential testing does not lead to normality violation of residuals and does not
imply that there will be inconsistencies with model coefficients. Consequently, the violation
indicated that a stronger regression model may be desirable (Variyath & Brobbey, 2020). The
tests of assumptions confirmed that the data is appropriate and conducive to demonstrate the
moderator analysis.
The research question demonstrated to what extent, if any, does gender moderate the
predictive effect between Bodily Shame (X) and Depression (Y). This question allowed for
testing of the null hypothesis of Gender, and it showed that Gender does not significantly
moderate the predictive effect between Bodily Shame (X) and Depression (Y). The relationships
observed are displayed in Figure 1.
Figure 1
Conceptual Model of Simple Moderator Analysis
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Gender (W)
Bodily Shame (X)
ESS
Depression (Y)
DASSDEP
A moderator analysis using PROCESS (v.4.0; Hayes, 2022) was conducted to test the
null hypothesis. There was a substantial predictive effect between Bodily Shame and Depression,
t = 11.7704, p < .001, b = 14.8749. The result of the collaboration effect between Gender and
Bodily Shame upon Depression was not statistically significant, t = -4.8465, p = .0000, b = -
3.9513. See Tables 1 and 2. The results displayed failed to reject the null hypotheses, which
stated that gender does not significantly moderate the predictive effect between Bodily Shame
(X) and Depression (Y). The results propose that even though there is a substantial predictive
effect between Bodily Shame and Depression, the degree of the effect between Bodily Shame
and Depression is not dependent on gender.
Table 1
Model Summary for Moderator Analysis
RGR-squared GMSEG FG df1G df2G p
G.6412G G.4112G 85.1914G 176.4461G 3.0000G 758.0000G G.0000
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Table 2
Model Coefficients
CoeffG SEG GtG pG LLCIG ULCI
ConstantG -15.8677GGGGG 3.3744 -4.7024GGGGGG.0000 -22.4919 -9.2434
ESS_BodG 14.8749G 1.2637G 11.7704G .0000G 12.3940 17.3557
GenderG 7.5119G 2.1989G 3.4162G G.0007G 3.1952 11.8287
Int_1G -3.9513 G.8153G -4.8465GGGGGG.0000 -5.5518 -2.3508
Note. Y variable is DASSDEP
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References
Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis
(3rd ed.). Guilford Press.
Variyath, A. M. & Brobbey, A. (2020). Variable selection in multivariate multiple regression.
PloS One, 15(7), e0236067-e0236067. https://doi.org/10.1371/journal.pone.0236067
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