Table 2.
B | SE | Beta | B | SE | Beta | CMIN | df | p = | |
---|---|---|---|---|---|---|---|---|---|
Never Screened (n = 528) |
Prior CRCS (n = 553) |
||||||||
SE decision | 1.56 | 0.09 | 0.80 | 1.31 | 0.09 | 0.71 | 16.10 | 7 | .024 |
Males (n = 448) |
Females (n = 633) |
||||||||
SE Embarrass | 1.19 | 0.05 | 0.90 | 1.09 | 0.05 | 0.82 | 12.81 | 5 | .025 |
SE Prep | 1.05 | 0.05 | 0.82 | 0.89 | 0.05 | 0.70 | 14.88 | 4 | .005 |
Pro Early detection | 0.74 | 0.07 | 0.59 | 0.94 | 0.07 | 0.69 | 14.74 | 7 | .039 |
Whites (n = 388) |
African Americans (n = 497) |
||||||||
Con MD embarrass | 0.52 | 0.09 | 0.40 | 0.91 | 0.09 | 0.64 | 28.31 | 8 | .001 |
Con pain | 1.66 | 0.19 | 0.66 | 0.89 | 0.11 | 0.45 | 34.59 | 8 | .001 |
Variance pro | 0.20 | 0.03 | -- | 0.15 | 0.02 | -- | |||
Variance con | 0.17 | 0.03 | -- | 0.37 | 0.06 | -- | |||
Cons <-> Influence | 0.02 | 0.01 | 0.11 NS | 0.07 | 0.02 | 0.38 | |||
Pros <-> Cons | <−0.01 | 0.01 | −0.01 NS | 0.03 | 0.01 | 0.13 | |||
Pros <->Influence | 0.17 | 0.02 | 0.96 | 0.13 | 0.02 | 0.90 |
B = unstandardized estimate; SE = standard error; Beta = standardized estimate
p > .05