VALIDATION DATA

MEASUREMENT PROPERTIES
Limitations <5 European languages (English)
Observations

The original Swedish version was adapted to English by Alison Hammond, Alan Tennant, Sarah Tyson and Ulla Nordenskiöld from the Swedish EDAQ developed by Ulla Nordenskiöld.

1. RELIABILITY
A. Internal Consistency Tested
Cronbach's (Describe)

In all musculoskeletal conditions, internal consistency (Person Separation Index) for the Self-Care and Mobility components was consistent with group-level use (i.e., >0.7) and Cronbach’s alpha was good to excellent (i.e., >0.85, consistent with individual level use) in almost all 12 Evaluation of Daily Activity Questionnaire domains, indicating the components and individual domains could be used individually as well as collectively.

 

B. Reliability intraobserver or test-retest Tested
Continuous scores: intraclass
correlation coefficient (ICC)
Dichotomus: Cohen kappa (Describe)

Test–retest reliability for Part 1 was moderate to good and for Rasch transformed data for Part 2 domains were excellent (ICC(2,10.9 for most tests). Linear weighted kappa scores for individual items in Part 2 showed moderate to very good test-retest reliability across most domains for most conditions

C. Reliability interobserver or Measurement error Tested
Standard error of measurement (SEM),
smallest detectable change (SDC) or
Limits of agreement (LoA) (Describe)

Most Minimal Detectable Change scores ranged from 0.27 to 6.00, although some were higher.

2. VALIDITY
A. Content validity: face validity Tested
Expert opinion (relevance and
comprehensiveness) (Describe)

The EDAQ has good content validity and acceptability in the seven mentioned MSK conditions.

B. Construct Validity:
Structural validity
Tested
Hypotheses-testing Tested
Cross-cultural validity Tested
Brief Description

Confirmatory factor analysis of the 14 EDAQ domains indicated unidimensionality, after adjustment for local dependency in each domain.

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