Table 10.
Study 2 regression analyses examining the incremental associations of SDT motivations on financial outcomes.
Step 1 | Step 2 | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Age | Gender | H. Wealth | Inc | Edu. Att. | Aut. Mot | Con. Mot | Amot. | |||||||||
b(SE) | b* | b(SE) | b* | b(SE) | b* | b(SE) | b* | b(SE) | b* | b(SE) | b* | b(SE) | b* | b(SE) | b* | |
Financial Knowledge | 0.01(0.01) | 0.12* | 0.38(0.07) | 0.23* | 0.01(0.02) | 0.01 | 0.08(0.04) | 0.12 | 0.19(0.03) | 0.25* | −0.10(0.07) | −0.07 | 0.23(0.07) | 0.17* | −0.30(0.06) | −0.24* |
R2 = 0.22, F(5, 520) = 29.88, p < 0.001 | R2 = 0.26, F(8, 517) = 23.08, p < 0.001 | |||||||||||||||
Spend | −0.07(0.11) | −0.03 | 0.65(1.11) | 0.03 | 0.18(0.37) | 0.24 | 2.36(0.72) | 0.24** | −0.06(0.56) | −0.01 | 2.47(1.13) | 0.12* | −0.36(1.22) | −0.02 | −2.90(0.99) | −0.15** |
R2 = 0.07, F(5, 520) = 7.67, p < 0.001 | R2 = 0.11, F(8, 517) = 7.89, p < 0.001 | |||||||||||||||
Save | −0.34(0.13) | −0.11** | 2.34(1.29) | 0.08‡ | 0.47(0.43) | 0.07 | 3.38(0.83) | 0.30** | 0.26(0.66) | 0.02 | 7.12(1.30) | 0.27** | −1.44(1.40) | −0.06 | 3.09(1.14) | 0.13** |
R2 = 0.15, F(5, 520) = 17.83, p < 0.001 | R2 = 0.21, F(8, 517) = 6.83, p < 0.001 | |||||||||||||||
Borrow | −0.22(0.11) | −0.08‡ | 1.52(1.14) | 0.06 | 0.46(0.39) | 0.08 | 2.71(0.74) | 0.26** | 0.21(0.58) | 0.02 | 4.20(1.16) | 0.19** | 0.61(1.26) | 0.03 | −1.33(1.02) | −0.06 |
R2 = 0.11, F(5, 520) = 13.33, p < 0.001 | R2 = 0.16, F(8, 517) = 12.00, p < 0.001 | |||||||||||||||
Plan | −0.33(0.12) | −0.12** | 1.80(1.19) | 0.07 | 0.36(0.40) | 0.06 | 2.71(0.77) | 0.25** | −0.01(0.60) | 0 | 8.51(1.16) | 0.37** | −1.32(1.26) | −0.06 | 1.71(1.02) | 0.08‡ |
R2 = 0.10, F(5, 520) = 11.52, p < 0.001 | R2 = 0.20, F(8, 517) = 16.53, p < 0.001 |
N = 526, eight observations omitted because of missing values for gender;
p <0.10;
p <0.05;
p <0.001;
Gender: Female = −1, Male = 1; The effect size b(SE) is the unstandardized regression coefficients with mean-centered predictors; b* is the standardized regression coefficient. The p-values are rounded to the nearest thousandth. All other statistics are rounded to the nearest hundredth.