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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18105

Title: Compensating for memory losses throughout aging: Validation and normalization of the memory compensation questionnaire (MCQ) for non-clinical French populations
Authors: Martin, Sophie
Mazzocco, Clémence
Maury, Pascale
Grosselin, Anne
VAN DER ELST, Wim
Dixon, Roger A.
Brouillet, Denis
Issue Date: 2015
Publisher: ELSEVIER IRELAND LTD
Citation: ARCHIVES OF GERONTOLOGY AND GERIATRICS, 60 (1), p. 28-38
Abstract: Aim: The MCQ is a seven-factor scale that measures individual differences in the tendency to select particular strategies and to overcome perceived or real memory losses. Our aim was to establish a French version of the MCQ and to evaluate its psychometric properties in a lifespan perspective. We first tested the underlying factor structure of the MCQ in a large sample of 749 adults from aged from 18 to 92 years. Results: The results showed that the factor structure of the French version corresponded well with the one obtained in English-, Dutch- and Spanish-speaking samples, supporting the cross-national robustness of the MCQ. We confirmed a seven-factor order model that supports the construct validity of the questionnaire. The reliabilities of the scales were good (alpha >.70) to acceptable (alpha =.66 and .62). Criterion validity was verified by means of significant correlations between health composites and MCQ subscales. Gender and Age affected most of the MCQ subscales but not the Level of Education (LE). Conclusion: The MCQ revealed to be a heuristic tool for assessing daily compensatory behaviors that are developed in order to achieve successful aging. Thus, regression-based normative data and a user-friendly computer program were provided to facilitate scoring and norming by clinicians and researchers who need to assess daily compensatory behaviors. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
Notes: [Martin, Sophie; Mazzocco, Clemence; Maury, Pascale; Grosselin, Anne; Brouillet, Denis] Univ Montpellier 3, EPSYLON, F-34032 Montpellier, France. [Martin, Sophie] UGECAM UEROS, Castelnau Le Lez, France. [Grosselin, Anne] CHU Belleville, Saint Etienne, France. [Van der Elst, Wim] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium. [Dixon, Roger A.] Univ Alberta, Edmonton, AB, Canada.
URI: http://hdl.handle.net/1942/18105
DOI: 10.1016/j.archger.2014.10.013
ISI #: 000346072400005
ISSN: 0167-4943
Category: A1
Type: Journal Contribution
Validation: ecoom, 2016
Appears in Collections: Research publications

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