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如何衡量智慧:五种衡量方法的内容、可靠性和有效性。

How to measure wisdom: content, reliability, and validity of five measures.

机构信息

Department of Developmental Psychology, Alpen-Adria-Universität Klagenfurt Klagenfurt, Austria.

出版信息

Front Psychol. 2013 Jul 12;4:405. doi: 10.3389/fpsyg.2013.00405. eCollection 2013.

Abstract

Wisdom is a field of growing interest both inside and outside academic psychology, and researchers are increasingly interested in using measures of wisdom in their work. However, wisdom is a highly complex construct, and its various operationalizations are based on quite different definitions. Which measure a researcher chooses for a particular research project may have a strong influence on the results. This study compares four well-established measures of wisdom-the Self-Assessed Wisdom Scale (Webster, 2003, 2007), the Three-Dimensional Wisdom Scale (Ardelt, 2003), the Adult Self-Transcendence Inventory (Levenson et al., 2005), and the Berlin Wisdom Paradigm (Baltes and Smith, 1990; Baltes and Staudinger, 2000)-with respect to content, reliability, factorial structure, and construct validity (relationships to wisdom nomination, interview-based wisdom ratings, and correlates of wisdom). The sample consisted of 47 wisdom nominees and 123 control participants. While none of the measures performed "better" than the others by absolute standards, recommendations are given for researchers to select the most suitable measure for their substantive interests. In addition, a "Brief Wisdom Screening Scale" is introduced that contains those 20 items from the three self-report scales that were most highly correlated with the common factor across the scales.

摘要

智慧是一个在学术心理学内外都越来越受到关注的领域,研究人员越来越有兴趣在他们的工作中使用智慧的衡量标准。然而,智慧是一个高度复杂的结构,其各种操作化都是基于非常不同的定义。研究人员为特定的研究项目选择的衡量标准可能会对结果产生强烈的影响。本研究比较了四种成熟的智慧衡量标准——自我评估智慧量表(Webster,2003 年,2007 年)、三维智慧量表(Ardelt,2003 年)、成人自我超越量表(Levenson 等人,2005 年)和柏林智慧范式(Baltes 和 Smith,1990 年;Baltes 和 Staudinger,2000 年)——在内容、可靠性、因子结构和建构效度(与智慧提名、基于访谈的智慧评分以及智慧的相关性)方面。样本包括 47 名智慧提名者和 123 名对照组参与者。虽然没有任何一种衡量标准在绝对标准上“优于”其他衡量标准,但为研究人员推荐了最适合他们具体利益的衡量标准。此外,还引入了一个“简要智慧筛选量表”,其中包含三个自我报告量表中与各量表共同因素相关性最高的 20 个项目。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/204f/3709094/8c0c244f7958/fpsyg-04-00405-g0001.jpg

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