VALIDATION DATA

MEASUREMENT PROPERTIES
Limitations English only
Observations
1. RELIABILITY
A. Internal Consistency Not Tested
Cronbach's (Describe)
B. Reliability intraobserver or test-retest Not Tested
Continuous scores: intraclass
correlation coefficient (ICC)
Dichotomus: Cohen kappa (Describe)
C. Reliability interobserver or Measurement error Not Tested
Standard error of measurement (SEM),
smallest detectable change (SDC) or
Limits of agreement (LoA) (Describe)
2. VALIDITY
A. Content validity: face validity Not Tested
Expert opinion (relevance and
comprehensiveness) (Describe)
B. Construct Validity:
Structural validity
Tested
Hypotheses-testing Not Tested
Cross-cultural validity Not Tested
Brief Description

Tucker et al (29), focusing on the functional status scales, used factor analysis and multitrait analysis to determine the internal consistency and discriminant validity of the parent-report CAHP. Factor analyses identified 3 latent variables labeled gross motor function, fine motor function, and usual role activities, and the authors used the factor analysis results to assign items to 3 scales measuring these variables. Additional analyses indicated that 96% of the items had higher correlations with their assigned scales than with other scales, supporting discriminant validity. Finally, the specific functional status scales correlated 0.73 with the CHQ’s generic physical functioning scale, indicating that the CAHP may measure aspects

not captured by generic scales.

C. Criterion validity Not Tested
Comparison with a 'gold standard' Continuous scores:
correlations, ROC curves Dichotomus:
Sensitivity & Specificity (Describe)