Table 4.5: Analysis of Variance for Mean MHCS Sub-scale Scores by Race, Gender,
Race X Gender
Source df F rp2 p
Between subjects
Race 1 2.96 <.01 .086
Gender 1 3.07 <.01 .080
Race X Gender 1 .11 <.01 .744
S within-group 1074 (75.18)
error
Note: Values enclosed in parentheses represent mean square errors rp2 reported is a partial eta squared.
Where y = predicted MHCS-Disability subscale score, a = the intercept, 1 = the slope for
ATDP-A score, 12 = the slope for the CDP score, and 3 = the slope for age. The model
was not significant F(3,162) = 2.29, p >.05 (See Table 4.4) (See Figure 4.3). The MHCS-
disability subscale score prediction equation including the three predictor variables is as
follows: PredictedMHCS-disability subscale score = 19.66 [Age (.01)] + [CDP (.04)]
+ [ATDP-A (.04)]. The unstandardized regression equation allows prediction of the
MHCS Disability Subscale score from the three predictor variables used in the present
study. The multiple correlation coefficient squared or R2 is a measure of the strength of
relationship. The multiple correlation coefficient squared for the multiple regression
model was R2 = .04 and the adjusted R2 for the model was adjusted R2 = .02.