Table 2.
Predictors | Model 1 (Criterion WHCAP) |
Model 2 (Criterion SCAP) |
Model 3 (Criterion WHCAP) |
|||
---|---|---|---|---|---|---|
β | t | β | t | β | t | |
CO:gender | 0.01⁎ | 0.26 | 0.13 | 4.60⁎⁎⁎ | 0.04 | 1.27 |
CO:age | −0.03 | −1.26 | −0.05 | −1.82 | −0.04 | −1.06 |
X: Identification with all humanity (IWAH) | 0.31 | 9.45⁎⁎⁎ | 0.42 | 13.46⁎⁎⁎ | 0.14 | 4.02⁎⁎⁎ |
MO: conscientiousness | 0.29 | 8.63⁎⁎⁎ | 0.23 | 7.40⁎⁎⁎ | 0.22 | 7.19⁎⁎⁎ |
XMO: IWAH × conscientiousness | 0.13 | 4.49⁎⁎⁎ | 0.09 | 3.05⁎⁎ | 0.03 | 1.24 |
ME: sympathy for COVID affected people (SCAP) | 0.34 | 9.88⁎⁎⁎ | ||||
MEMO: SCAP × conscientiousness | 0.02 | 0.81 | ||||
R2 | 0.27 | 0.35 | 0.34 | |||
F | 61.14⁎⁎⁎ | 89.91⁎⁎⁎ | 62.39⁎⁎⁎ |
Note. N = 854. Each column represents a regression model that predicts the criterion at the top of the column. Gender was coded as 0 = boy and 1 = girl. CO, X, MO, and ME successively represent control variable, independent variable, moderator, and mediator. XMO and MEMO represent the interaction between independent variable and moderator and that between mediator and moderator, respectively. WHCAP = Willingness to help COVID-19 affected people.
p < 0.05.
p < 0.01.
p < 0.001.