| MEASUREMENT PROPERTIES | |
| Limitations | English only |
| Observations | |
| 1. RELIABILITY | |
| A. Internal Consistency | Tested |
| Cronbach's (Describe) |
The internal consistency as measured by Cronbach’s alpha coefficients was low for the four domains identified. However, these low internal consistency estimates may partially be due to only having two or three items within each domain. Using the Spearman–Brown prophecy formula to adjust the Cronbach’s alpha coefficients to domains with 10 items each improved the internal consistency of each factor to range between 0.75 and 0.91, significantly better than the single factor model, which had 10 items. |
| B. Reliability intraobserver or test-retest | Not Tested |
| Continuous scores: intraclass correlation coefficient (ICC) Dichotomus: Cohen kappa (Describe) |
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| C. Reliability interobserver or Measurement error | Not Tested |
| Standard error of measurement (SEM), smallest detectable change (SDC) or Limits of agreement (LoA) (Describe) |
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| 2. VALIDITY | |
| A. Content validity: face validity | Tested |
| Expert opinion (relevance and comprehensiveness) (Describe) |
As reported by experts in the validation, "the wording of the items appeared to be tapping relevant constructs of osteoporosis knowledge". |
| B. Construct Validity: Structural validity |
Tested |
| Hypotheses-testing | Tested |
| Cross-cultural validity | Not Tested |
| Brief Description |
Confirmatory factor analysis was used to test scale structure: knowledge, attitude/actions, and health behavior. Six of the ten items had a low index of difficulty. These items largely examined osteoporosis risk factors. The remaining four items identified significant knowledge deficits in the areas of osteoporosis consequences, prevention, and treatment. Confirmatory factor analysis identified four distinct osteoporosis knowledge domains. |
| C. Criterion validity | Not Tested |
| Comparison with a 'gold standard' Continuous scores: correlations, ROC curves Dichotomus: Sensitivity & Specificity (Describe) |
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