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测量优势、机会、抱负和结果:12项SOAR量表的心理测量特性。

Measuring Strengths, Opportunities, Aspirations, and Results: Psychometric Properties of the 12-Item SOAR Scale.

作者信息

Cole Matthew L, Stavros Jacqueline M, Cox John, Stavros Alexandra

机构信息

College of Business and Information Technology, Lawrence Technological University, Southfield, MI, United States.

Walsh College, Troy, MI, United States.

出版信息

Front Psychol. 2022 Apr 8;13:854406. doi: 10.3389/fpsyg.2022.854406. eCollection 2022.

Abstract

Strengths, Opportunities, Aspirations, and Results (SOAR) is a strengths-based framework for strategic thinking, planning, conversations, and leading that focuses on strengths, opportunities, aspirations, and results. The SOAR framework leverages and integrates Appreciative Inquiry (AI) to create a transformation process through generative questions and positive framing. While SOAR has been used by practitioners since 2000 as a framework for generating positive organizational change, its use in empirical research has been limited by the absence of reliable and valid measures. We report on the reliability, construct validity, and measurement invariance of the SOAR Scale, a 12-item self-report survey organized into four first-order factors (Strengths, Opportunities, Aspirations, and Results). Data from a sample of 285 U.S. professionals were analyzed in Mplus using confirmatory factor analysis and exploratory structural equation modeling. The Four-Factor first-order exploratory structure equation modeling (ESEM) had the best model fit. Measurement invariance tests found the scalar invariance of the SOAR Scale across gender and education groups. Implications are discussed for using the SOAR Scale to build resilience at the individual, the team, and the organizational levels.

摘要

优势、机会、抱负与成果(SOAR)是一个基于优势的战略思维、规划、沟通及领导框架,聚焦于优势、机会、抱负与成果。SOAR框架利用并整合了积极探寻法(AI),通过生成性问题和积极框架创建一个变革过程。自2000年以来,从业者一直将SOAR用作推动积极组织变革的框架,但其在实证研究中的应用因缺乏可靠有效的测量方法而受到限制。我们报告了SOAR量表的信度、结构效度和测量不变性,该量表是一项包含12个项目的自陈式调查,分为四个一阶因子(优势、机会、抱负与成果)。使用Mplus软件,通过验证性因子分析和探索性结构方程建模对来自285名美国专业人员样本的数据进行了分析。四因子一阶探索性结构方程建模(ESEM)具有最佳的模型拟合度。测量不变性检验发现SOAR量表在性别和教育程度组间具有标量不变性。文中讨论了使用SOAR量表在个人、团队和组织层面建立复原力的意义。

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