Table 3.
Confirmatory Factor Analysis Models and Fit Indices Evaluating Dimensional Invariance of the Patient Health Questionnaire-9 (PHQ-9) across Sex, Race/Ethnicity, and Education Level in U.S. Adults
χ2 | Df | p-value | RMSEA | RMSEA 90% CI | TLI | CFI | ||
---|---|---|---|---|---|---|---|---|
Sex n = 31,366 | Women | 638.62 | 26 | 0.000 | 0.038 | 0.036–0.041 | 0.984 | 0.988 |
Men | 427.30 | 26 | 0.000 | 0.032 | 0.029-0.034 | 0.986 | 0.990 | |
Race/Ethnicity n = 30,179 | Non-Hispanic White | 556.47 | 26 | 0.000 | 0.039 | 0.036-0.042 | 0.983 | 0.988 |
Non-Hispanic Black | 247.90 | 26 | 0.000 | 0.035 | 0.031-0.040 | 0.986 | 0.990 | |
Non-Hispanic Asian | 79.24 | 26 | 0.000 | 0.034 | 0.026-0.043 | 0.982 | 0.987 | |
Mexican American | 177.50 | 26 | 0.000 | 0.033 | 0.029-0.038 | 0.987 | 0.990 | |
Other Hispanic | 113.44 | 26 | 0.000 | 0.034 | 0.027-0.040 | 0.988 | 0.991 | |
Education Level n = 31,344 | Less than 9th grade | 98.54 | 26 | 0.000 | 0.030 | 0.024-0.036 | 0.990 | 0.993 |
9th to 12th grade (no diploma) | 213.14 | 26 | 0.000 | 0.038 | 0.033-0.043 | 0.981 | 0.986 | |
High school graduate/GED equivalent | 266.67 | 26 | 0.000 | 0.035 | 0.032-0.039 | 0.986 | 0.990 | |
Some college or associate degree | 350.29 | 26 | 0.000 | 0.037 | 0.034-0.041 | 0.984 | 0.989 | |
College graduate or above | 159.61 | 26 | 0.000 | 0.028 | 0.024-0.032 | 0.986 | 0.990 |
Note. We used the two-factor Model 2 shown in Figure 1. For absolute fit indices (RMSEA), exact fit = 0.00, close fit = 0.01–0.05, acceptable fit = 0.05–0.08, mediocre fit = 0.08–0.10, and poor fit = greater than 0.10. For relative fit indices (TLI and CFI), exact fit = 1.00, close fit = 0.95–0.99, acceptable fit = 0.90–0.95, mediocre fit = 0.85–0.90, and poor fit = less than 0.85. RMSEA = root mean square error of approximation. CI = confidence interval. TLI = Tucker-Lewis index. CFI = comparative fit index