Table 9.
Hierarchical multiple regression: the MPQ-SF scores
Asian | Hispanic | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Predictors | β | p-value | ΔR2 | Fchange | p-value | Predictors | β | p-value | ΔR2 | Fchange | p-value |
Step 1 | .006 | .14 | .965 | Step 1 | .1139 | 3.09 | .020 | ||||
Age | −.012 | .888 | Age | −.146 | .041 | ||||||
Gender | .426 | .870 | Gender | −5.297 | .037 | ||||||
Education | 1.490 | .486 | Education | −1.706 | .500 | ||||||
Income | −.422 | .710 | Income | .818 | .463 | ||||||
Step 2 | .030 | .62 | .543 | Step 2 | .005 | 1.19 | .312 | ||||
Age | −.011 | .902 | Age | −.097 | .410 | ||||||
Gender | −1.581 | .582 | Gender | −5.744 | .216 | ||||||
education | 2.930 | .214 | education | −2.372 | .436 | ||||||
Income | .052 | .966 | Income | −.805 | .587 | ||||||
Cancer stage | 1.020 | .322 | Cancer stage | .483 | .652 | ||||||
Treatment | −1.316 | .733 | Treatment | −7.262 | .151 | ||||||
Step 3 | .009 | .25 | .862 | Step 3 | .063 | 1.22 | .312 | ||||
Age | −.018 | .854 | Age | −.056 | .642 | ||||||
Gender | −1.561 | .602 | Gender | −6.920 | .142 | ||||||
education | 2.818 | .259 | education | −3.320 | .291 | ||||||
Income | −.175 | .893 | Income | −.543 | .726 | ||||||
Cancer stage | .842 | .456 | Cancer stage | .483 | .651 | ||||||
Treatment | −1.421 | .745 | Treatment | −9.800 | .070 | ||||||
Country | −1.409 | .819 | Country | .097 | .979 | ||||||
Length of stay | .005 | .518 | Length of stay | −.013 | .092 | ||||||
Level of Acculturation |
−.191 | .663 | Level of Acculturation |
.514 | .277 |
ΔR2 = R2 change; Fch = F change