| MEASUREMENT PROPERTIES | |
| Limitations | >=5 European languages (English) |
| Observations | |
| 1. RELIABILITY | |
| A. Internal Consistency | Tested |
| Cronbach's (Describe) |
Internal consistency of the PSEQ was good for both random samples used in the factorial analyses (Cronbach’s α = .92 and .90 for the explorative and the confirmative sample). |
| B. Reliability intraobserver or test-retest | Tested |
| Continuous scores: intraclass correlation coefficient (ICC) Dichotomus: Cohen kappa (Describe) |
ICC was 0.76, which is consideed to be satisfactory for group comparisons. |
| C. Reliability interobserver or Measurement error | Tested |
| Standard error of measurement (SEM), smallest detectable change (SDC) or Limits of agreement (LoA) (Describe) |
The Bland-Altman plot showed no association between measurement error and the magnitude of the measurement. |
| 2. VALIDITY | |
| A. Content validity: face validity | Not Tested |
| Expert opinion (relevance and comprehensiveness) (Describe) |
|
| B. Construct Validity: Structural validity |
Tested |
| Hypotheses-testing | Tested |
| Cross-cultural validity | Tested |
| Brief Description |
Exploratory and confirmatory factor analysis supported a one factor solution. The inter-item correlations of the PSEQ ranged from 0.40 to 0.79, with a mean value of 0.55. The level of this mean value in combination with the homogeneous clustering of the inter-item correlations around it suggests that the PSEQ is tapping a narrow construct. The determinant of the correlation matrix was larger than 0.00001, which suggests no multicollinearity in the data. |
| C. Criterion validity | Not Tested |
| Comparison with a 'gold standard' Continuous scores: correlations, ROC curves Dichotomus: Sensitivity & Specificity (Describe) |
It has been validated in several languages |