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意象易用性问卷的编制与验证

Development and Validation of the Ease of Imagery Questionnaire.

作者信息

Williams Sarah E, Fergus Thomas A, Ginty Annie T

机构信息

University of Birmingham, UK.

Baylor University, Waco, TX, USA.

出版信息

Assessment. 2025 Jul;32(5):759-777. doi: 10.1177/10731911241260233. Epub 2024 Jul 26.

Abstract

The present series of studies aimed to develop and provide initial validation of the Ease of Imagery Questionnaire (EIQ)-a measure assessing ease of imaging different positive and negative imagery content reflective of valence and engaging or disengaging in adverse situations. Five studies were conducted to collectively examine the questionnaire's factor structure and concurrent validity. Study 1 ( = 336) and Study 2 ( = 207) informed the development of 16 items of the EIQ, with a four-factor structure supported in Studies 3 ( = 219), 4 ( = 135), and 5 ( = 184) using confirmatory factor analysis. Study 3 also supported concurrent validity with significant bivariate correlations ( < .05) with the similar Sport Imagery Ability Questionnaire subscales, while studies 4 and 5 demonstrated criterion validity in the EIQ's prediction of challenge and threat appraisal tendencies, perceived stress, stress mindset, and anxiety and depressive symptoms. Overall, the EIQ demonstrates a replicable four-factor structure and appears to assess ability to image content associated with positive and negative emotions as well as demanding stress-evoking situations.

摘要

本系列研究旨在开发并初步验证意象易用性问卷(EIQ),这是一种用于评估对不同积极和消极意象内容进行成像的难易程度的测量工具,这些意象内容反映了效价,并涉及在不利情境中参与或脱离。进行了五项研究,以共同检验该问卷的因子结构和同时效度。研究1(n = 336)和研究2(n = 207)为EIQ的16个项目的开发提供了依据,研究3(n = 219)、研究4(n = 135)和研究5(n = 184)使用验证性因子分析支持了四因子结构。研究3还通过与类似的运动意象能力问卷子量表的显著双变量相关性(p < .05)支持了同时效度,而研究4和研究5在EIQ对挑战和威胁评估倾向、感知压力、压力心态以及焦虑和抑郁症状的预测中证明了效标效度。总体而言,EIQ显示出可重复的四因子结构,并且似乎能够评估对与积极和消极情绪以及引发压力的苛刻情境相关的内容进行成像的能力。

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Development and Validation of the Ease of Imagery Questionnaire.意象易用性问卷的编制与验证
Assessment. 2025 Jul;32(5):759-777. doi: 10.1177/10731911241260233. Epub 2024 Jul 26.

本文引用的文献

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2001 Presidential Address: Working with Imperfect Models.2001年主席致辞:与不完美的模型合作。
Multivariate Behav Res. 2003 Jan 1;38(1):113-39. doi: 10.1207/S15327906MBR3801_5.

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