Skip to main content
. 2020 Dec 16;37(3):817–835. doi: 10.1007/s10899-020-09989-4

Table 2.

Summary of hierarchical regression analysis for variables predicting risk-taking

Variable β 95% CI (LL, UL) t SE R R2 ΔR2 F ΔF ΔF p p
Model 1 0.34 0.12 0.12 3.15 3.15 0.052 0.052
Age 0.30 (5.64, 169.78) 2.15 40.82 0.037*
Gender 0.12 (−123.40, 308.15) 0.86 107.32 0.394
Model 2 0.37 0.14 0.02 1.40 0.33 0.804 0.241
Age 0.32 (7.97, 178.59) 2.20 42.35 0.033*
Gender 0.14 (−113.59, 335.06) 0.99 111.38 0.325
Agency − 0.01 (−23.92, 23.23) − 0.03 11.71 0.977
Pathway − 0.15 (−30.44, 11.58) − 0.90 10.43 0.371
RD − 0.04 (−26.59, 20.29) − 0.27 11.64 0.788
Model 3 0.61 0.37 0.24 3.60 8.00 0.001*** 0.004**
Age 0.39 (38.09, 189.33) 3.03 37.50 0.004**
Gender 0.11 (−111.81, 285.82) 0.88 98.59 0.382
Agency 0.07 (−16.71, 26.38) 0.45 10.68 0.653
Pathway − 0.27 (−37.08, 1.80) − 1.83 9.64 0.074
RD − 0.22 (−37.97, 5.71) − 1.49 10.83 0.144
Agency X RD − 0.51 (−14.26, − 3.28) − 3.22 2.72 0.002**
Pathway X RD − 0.04 (−6.30, 4.76) − 0.28 2.74 0.780

Note. N = 51; *p < 0.05; **p < 0.01; ***p < 0.001 LL and UL indicate the lower and upper limit of a Confidence Interval (for B); A post hoc power analysis indicated that our results produced a power of 97.7%, (1-β err prob = 0.977) indicating that this study had an adequate sample size