Table 3.
Hierarchical Linear Regression with PCL-R scores and Covariate Measures Predicting FTND Total Scores in Adult Women
| B (SE B) | 95% CI | β | part r | ΔR2 | |
|---|---|---|---|---|---|
|
|
|||||
| Regression #1 | |||||
|
Step 1 |
.06 |
||||
| Substance Use | 0.12 (0.04) | [.05, .25] | .15 | .15 | |
| Age | 0.00 (0.01) | [−.09, .11] | .01 | .01 | |
| Ethnicity | −0.61 (0.26) | [−.24, −.02] | −.13 | −.12 | |
| American Indian | −1.01 (0.45) | [−.22, −.01] | −.11 | −.11 | |
| Asian | −3.86 (2.32) | [−.18, .02] | −.08 | −.08 | |
| Black | −0.71 (0.44) | [−.19, .02] | −.09 | −.08 | |
| Native Hawaiian | −1.38 (1.35) | [−.15, .05] | −.05 | −.05 | |
| More Than One Race | −1.73 (1.18) | [−.17, .03] | −.08 | −.07 | |
| IQ | −0.00 (0.01) | [−.11, .10] | −.00 | −.00 | |
| Step 2 | .03 | ||||
| PCL-R Total | 0.07 (0.02) | [.09, .30] | .19 | .18 | |
| Regression #2 | |||||
| Step 1 | .06 | ||||
| Substance Use | 0.11 (0.04) | [.04, .24] | .14 | .14 | |
| Age | 0.00 (0.01) | [−.10, .11] | .01 | .00 | |
| Ethnicity | −0.61 (0.26) | [−.24, −.02] | −.13 | −.12 | |
| American Indian | −0.95 (0.46) | [−.21, −.01] | −.11 | −.11 | |
| Asian | −3.87 (2.32) | [−.18, .01] | −.09 | −.09 | |
| Black | −0.75 (0.44) | [−.19, .01] | −.09 | −.09 | |
| Native Hawaiian | −1.43 (1.35) | [−.15, .05] | −.05 | −.05 | |
| More Than One Race | −1.77 (1.18) | [−.17, .02] | −.08 | −.08 | |
| IQ | −0.00 (0.01) | [−.11, .09] | −.01 | −.01 | |
| Step 2 | .06 | ||||
| PCL-R Factor 1 | −0.06 (0.04) | [−.20, .02] | −.09 | −.08 | |
| PCL-R Factor 2 | 0.19 (0.04) | [.18, .42] | .30 | .24 | |
| Regression #3 | |||||
| Step 1 | .06 | ||||
| Substance Use | 0.11 (0.04) | [.04, 24] | .14 | .14 | |
| Age | 0.00 (0.01) | [−.09, .11] | .01 | .01 | |
| Ethnicity | −0.61 (0.26) | [−.24, −.02] | −.13 | −.12 | |
| American Indian | −0.95 (0.46) | [−.21, −.01] | −.11 | −.10 | |
| Asian | −3.89 (2.32) | [−.18, .01] | −.09 | −.09 | |
| Black | −0.74 (0.44) | [−.19, .01] | −.09 | −.09 | |
| Native Hawaiian | −1.41 (1.36) | [−.15, .05] | −.05 | −.05 | |
| More Than One Race | −1.76 (1.18) | [−.17, .02] | −.08 | −.08 | |
| IQ | −0.00 (0.01) | [−.11, .09] | −.01 | −.01 | |
| Step 2 | .06 | ||||
| PCL-R Facet 1 | 0.03 (0.08) | [−.10, .14] | .02 | .02 | |
| PCL-R Facet 2 | −0.14 (0.07) | [−.25, −.01] | −.13 | −.10 | |
| PCL-R Facet 3 | 0.23 (0.07) | [.09, .34] | .21 | .17 | |
| PCL-R Facet 4 | 0.14 (0.06) | [.02, .26] | .13 | .14 | |
Note. Bolded values reflect statistically significant effects (i.e., survived a modified Bonferroni multiple comparison correction of .05/3, or p < .017). Ethnicity refers to either Hispanic/Latina or non-Hispanic/Latina, with higher scores representing participants who self-identified as Hispanic/Latina. As self-identified race included multiple response options, race was dummy coded to allow for its inclusion within hierarchical linear regression analyses. Specifically, White was chosen as the reference category, and all other options (e.g., American Indian/Alaskan Native, Asian, Black or African American, Native Hawaiian or other Pacific Islander, or more than one race) were included in the regression model as separate dummy coded variables. This allows for the regression coefficients for each dummy coded group to be interpreted as the effect for that category compared to the reference group. The 95% CI refers to the confidence interval referring to standardized β values, not unstandardized B values. Three separate hierarchical linear regression analyses were performed, each with the same dependent measure (i.e., FTND total score) and covariates entered in Step 1. In Step 2, different psychopathy scores were entered in each of the three regressions (i.e., either PCL-R total scores [Regression #1], PCL-R factor scores [Regression #2], or PCL-R facet scores [Regression #3] scores), to identify which specific psychopathic traits were associated with FTND total scores, while controlling for covariate measures.