Publication

Validity and Reliability of a French Version of the Metacognitions Questionnaire in a Nonclinical Population

2009
Journal Articles

Abstract

We investigated the psychometric properties of a French translation of the Metacognitions Questionnaire (MCQ). 265 participants from the French-speaking population of Belgium completed the MCQ. Construct validity was assessed by means of a factor analysis, retaining 5 factors for oblique rotation. Most items loaded on appropriate factors. Confirmatory factor analysis was also conducted in order to assess construct validity and to test goodness of fit to the original 5-factor structure. This revealed that the 5-factor structure had an adequate fit. In general, results offer evidence that the present French version of the MCQ taps into similar metacognitive aspects and that it possesses adequate psychometric properties, comparable to those reported in the original validation study of the MCQ.

Official source

https://infoscience.epfl.ch/entities/publication/43212eea-1ed2-43df-9738-0211764ac991

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2009
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/43212eea-1ed2-43df-9738-0211764ac991

About this result

Related concepts (32)

Factor analysis

Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables. Factor analysis searches for such joint variations in response to unobserved latent variables.

Construct validity

Construct validity concerns how well a set of indicators represent or reflect a concept that is not directly measurable. Construct validation is the accumulation of evidence to support the interpretation of what a measure reflects. Modern validity theory defines construct validity as the overarching concern of validity research, subsuming all other types of validity evidence such as content validity and criterion validity.

Validity (statistics)

Validity is the main extent to which a concept, conclusion or measurement is well-founded and likely corresponds accurately to the real world. The word "valid" is derived from the Latin validus, meaning strong. The validity of a measurement tool (for example, a test in education) is the degree to which the tool measures what it claims to measure. Validity is based on the strength of a collection of different types of evidence (e.g. face validity, construct validity, etc.) described in greater detail below.

Related publications (32)

Validity and Reliability of a French Version of the Metacognitions Questionnaire in a Nonclinical Population

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