Skip to main content

Table 3 Modified criteria of psychometric quality rating based on Terwee, Bot [15] and Cordier, Chen [26]

From: Comparison of psychometric properties between usual-week and past-week self-reported physical activity questionnaires: a systematic review

Psychometric property

Scorea

Quality Criteriab

Content validity

+

A clear description is provided of the measurement aim, the target population, the concepts that are being measured, and the item selection AND target population and (investigators OR experts) were involved in item selection

?

A clear description of above-mentioned aspects is lacking OR only target population involved OR doubtful design or method

-

No target population involvement

±

Conflicting results

NR

No information found on target population involvement

NE

Not evaluated due to “poor” methodological quality

Structural validity

+

Factor analysis performed with adequate sample size. Factors should explain at least 50% of the variance

?

No factor analysis performed and explained variance not mentioned

-

Factors explain <50% of the variance

±

Conflicting results

NR

No information found on structural validity

NE

Not evaluated due to “poor” methodological quality

Hypothesis testing

+

Specific hypotheses were formulated AND at least 75% of the results are in accordance with these hypotheses; Convergent validity: correlation between similar assessments is at a statistically significant level (p < 0.05) and strength of relationship is ≥0.5 which is consistent with the hypothesis; Discriminant validity: uses appropriate statistical analysis (e.g., t-test p < 0.05 or Cohen’s d effect size ≥0.5)

?

Doubtful design or method (e.g., no hypotheses)

-

Less than 75% of hypotheses were confirmed, despite adequate design and methods; Convergent validity: correlation between similar assessments is not at a statistically significant level (p ≥ 0.05) and strength of relationship is <0.5 which is inconsistent with hypothesis

±

Conflicting results between studies within the instrument

NR

No information found on hypotheses testing

NE

Not evaluated due to “poor” methodological quality

Internal consistency

+

Factor analyses performed on adequate sample size (7 * # items and 100) AND Cronbach’s alpha(s) calculated per dimension AND Cronbach’s alpha(s) between 0.70 and 0.95

?

No factor analysis OR doubtful design or method

-

Cronbach’s alpha(s) <0.70 or >0.95, despite adequate design and method

±

Conflicting results

NR

No information found on internal consistency

NE

Not evaluated due to “poor” methodological quality

Reliability

+

ICC or weighted Kappa 0.70

?

Doubtful design or method (e.g., time interval not mentioned)

-

ICC or weighted Kappa <0.70, despite adequate design and method

±

Conflicting results

NR

No information found on reliability

NE

Not evaluated due to “poor” methodological quality

Measurement errorc

+

MIC < SDC OR MIC outside the LOA OR convincing arguments that agreement is acceptable

?

Doubtful design or method OR (MIC not defined AND no convincing arguments that agreement is acceptable)

-

MIC SDC OR MIC equals or inside LOA, despite adequate design and method

±

Conflicting results

NR

No information found on measurement error

NE

Not evaluated due to “poor” methodological quality

  1. aScores: positive rating (+), indeterminate rating (?), negative rating (−), conflicting data (±), not reported (NR), not evaluated (NE)
  2. bDoubtful design or method is assigned when a clear description of the design or methods of the study is lacking, sample size smaller than 50 subjects (should be at least 50 in every subgroup analysis), or any important methodological weakness in the design or execution of the study
  3. cMeasurement error: MIC minimal important change, SDC smallest detectable change, LOA limits of agreement