Martin Sophie, Mazzocco Clémence, Maury Pascale, Grosselin Anne, Van der Elst Wim, Dixon Roger A, Brouillet Denis
EPSYLON, Université Montpellier III, France; UGECAM-UEROS, Castelnau Le Lez, France.
EPSYLON, Université Montpellier III, France.
Arch Gerontol Geriatr. 2015 Jan-Feb;60(1):28-38. doi: 10.1016/j.archger.2014.10.013. Epub 2014 Oct 22.
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.
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 (α>.70) to acceptable (α=.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).
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.
多项选择题(MCQ)是一个七因素量表,用于测量个体在选择特定策略以及克服感知到的或实际的记忆丧失倾向方面的个体差异。我们的目的是建立MCQ的法语版本,并从寿命跨度的角度评估其心理测量特性。我们首先在749名年龄在18至92岁的成年人的大样本中测试了MCQ的潜在因素结构。
结果表明,法语版本的因素结构与在说英语、荷兰语和西班牙语的样本中获得的结构非常吻合,支持了MCQ的跨国稳健性。我们证实了一个七因素顺序模型,该模型支持问卷的结构效度。各分量表的信度良好(α>.70)至可接受(α=.66和.62)。通过健康综合指标与MCQ分量表之间的显著相关性验证了效标效度。性别和年龄影响了大多数MCQ分量表,但未影响教育水平(LE)。
MCQ被证明是一种启发式工具,用于评估为实现成功老龄化而发展的日常代偿行为。因此,提供了基于回归的常模数据和一个用户友好的计算机程序,以方便需要评估日常代偿行为的临床医生和研究人员进行评分和常态化处理。