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Table 1 Critical appraisal of study quality for psychometric articles: evaluation form [46]

From: Functional, motor, and sensory assessment instruments upon nerve repair in adult hands: systematic review of psychometric properties

Authors: Year: Rater:
Evaluation Criteria Score
  2 1 0
Study question
1. Was the relevant background work cited to define what is currently known about the measurement properties of measures under study, and the potential contributions of the current research question to inform that knowledge base?    
Study design
2. Were appropriate inclusion/exclusion criteria defined?    
3. Were specific clinical measurement questions/hypotheses identified?    
4. Was an appropriate scope of measurement properties considered?    
5. Was an appropriate sample size used?    
6. Was appropriate retention/follow up obtained?(for studies involving retesting; otherwise n/a)    
7. Were specific descriptions provided of the measure under study and the method(s) used to administer it?    
8. Were standardized procedures used to administer all study measures in a manner that minimized potential sources of error/bias (including the study measure and its comparators?    
9. Were analyses conducted for each specific hypothesis or purpose?    
10. Were appropriate statistical tests performed to obtain point estimates of the measurement properties?    
11. Were appropriate ancillary analyses done to quantify the confidence in the estimates of the clinical measurement property (Precision/Confidence Intervals, benchmarks comparisons, standard error of measurement/ROC curves, alternate forms of analysis like SEM/MID,etc)?    
12. Were clear, specific and accurate conclusions made about the clinical measurement properties; that were associated with appropriate clinical measurement recommendations and supported by the study objectives, analysis, and results?    
Subtotals(columns 1 and 2)
Total score % (sum of subtotal/24 × 100), or, if for a specific paper or topic an item is deemed inappropriate, then you can sum of items, divide by 2 times the number of items, and multiply by 100 to get the percentage score    
  1. ©MacDermid 2011