Development and psychometric evaluation of the Violation Appraisal Measure (VAM).

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL

ACS Applied Energy Materials Pub Date : 2024-08-29 DOI:10.1080/16506073.2024.2395823

Sandra Krause, Adam S Radomsky

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引用次数: 0

Abstract

Mental contamination refers to feelings of dirtiness and/or urges to wash that arise without direct contact with a contaminant. Cognitive models propose that this results from "serious, negative misappraisals of perceived violations". However, the specific violation misappraisals most relevant to mental contamination have yet to be established empirically, in part due to the lack of a comprehensive validated inventory of violation appraisals. Therefore, this study's aim was to develop and validate such a measure. Items for the new Violation Appraisal Measure (VAM) were developed from qualitative interviews, theoretical models, and previous empirical work. An Exploratory Factor Analysis was conducted in a sample of (n = 300) undergraduate participants, which revealed a four-factor structure: Responsibility/Self-Blame, Permanence, Mistrust, and Self-Worth. The VAM showed excellent internal consistency ( $α$ = 0.90), good convergent (r = .50 to .64) and adequate divergent (r = -.01 to .46) validity and was predictive of mental contamination symptoms over and above existing related appraisal measures, $Δ$ F(1,289) = 29.35, p < .001, $Δ$ R² = 0.06. A Confirmatory Factor Analysis in a second sample of (n = 300) undergraduate students confirmed strong model fit for the four-factor structure of the VAM. The development of the VAM is an important contribution to the search for empirically based cognitive mechanisms in mental contamination and other violation-related sequelae.

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违规行为评估量表（VAM）的开发和心理测量评估。

精神污染指的是在没有直接接触污染物的情况下产生的肮脏感和/或清洗冲动。认知模型认为，这是 "对感知到的违规行为的严重负面错误评价 "造成的。然而，与精神污染最相关的具体违规错误评价尚未得到实证证实，部分原因是缺乏全面有效的违规评价清单。因此，本研究的目的就是开发并验证这样一种测量方法。新的违规评价量表（VAM）的项目是根据定性访谈、理论模型和以前的实证工作开发的。对（n = 300）名本科生参与者样本进行了探索性因子分析，结果显示了四因子结构：责任/自责、持久性、不信任和自我价值。VAM 显示出极好的内部一致性（α = 0.90）、良好的聚合效度（r = 0.50 至 0.64）和足够的发散效度（r = -.01 至 0.46），并且对精神污染症状的预测性超过了现有的相关评估测量，ΔF(1,289) = 29.35, p ΔR2 = 0.06。在第二个样本（n = 300）本科生中进行的确认性因子分析证实，VAM 的四因子结构具有很强的模型拟合性。VAM 的开发是对寻找精神污染和其他与侵犯相关的后遗症中基于经验的认知机制的重要贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.