Table 4.
Multivariate Logistic Regression Predicting Profile Membership.
| Multivariate analysis, OR [95% Cl] | |||
|---|---|---|---|
| Unstandardized assessorsa | Minimal assessorsb | Selective assessorsc | |
| Professional characteristics | |||
| Clinician age | 0.98 [0.97, 1.01] | 1.00 [0.97, 1.03] | 1.03 [0.99, 1.06] |
| Professional disciplines (1 = psychologists) | 0.95 [0.65, 1.39] | 0.51 [0.26, 1.01] | 1.24 [0.67, 2.29] |
| Attitudes Toward Standardized Assessment | |||
| Benefit Over Clinical Judgment | 0.68* [0.49, 0.95] | 1.00 [0.55, 1.84] | 1.09 [0.63, 1.89] |
| Psychometric Quality | 1.35 [0.88, 2.08] | 1.04 [0.49, 2.23] | 0.82 [0.39, 1.73] |
| Practicality | 1.18 [0.79, 1.76] | 1.22 [0.59, 2.53] | 0.84 [0.43, 1.64] |
Note. OR = odds ratio; CI = confidence interval. Broad-spectrum assessors (N = 165) are the reference group. Bayesian information criteria = 28303.07; adjusted information criteria = 28156.94; entropy = .97.
N = 1,094.
N = 84.
N = 72.
p < .05.