Table 2.
Results of logistic regression models predicting fraud victimization reported in 2022 from Perceived Financial Vulnerability Scale score in 2018.
| Predictor | OR | 95% CI | p-value |
|---|---|---|---|
| Age (2018) | 1.01 | [0.96–1.07] | .654 |
| Sex (Female vs Male) | 1.38 | [0.51–4.03] | .535 |
| Race (Non-White vs White) | 1.80 | [0.41–1.62] | .701 |
| Education | 1.16 | [0.93–1.43] | .241 |
| Household Income (2018) | 1.00 | [1.00–1.00] | .779 |
| Income Missing | 0.65 | [0.13–2.51] | .561 |
| PFVS Score | 1.62 | [1.25–2.15] | <.001 * |
Note. Odds ratios (ORs) are extracted from logistic regression models predicting fraud victimization in 2022.
Significant p-values are bolded with *p < .001. PFVS = Perceived Financial Vulnerability Scale.