对精神疾病患者的偏见量表:意大利版的心理测量特征(PPMI-IT)。

IF 2.6 Q1 PSYCHOLOGY, CLINICAL
Francesca Bruno, Francesco Chirico, Hicham Khabbache, Younes Rami, Driss Ait Ali, Valentina Cardella, Maria Chayinska, Ivan Formica, Amelia Rizzo
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引用次数: 0

摘要

目前,意大利没有专门设计的有效工具来评估精神疾病的耻辱或偏见。此外,隐式测量虽然很有见地,但对于意大利语使用者的大规模人口研究来说往往是资源密集和不切实际的。本研究考察了意大利版精神疾病患者偏见量表(PPMI-IT)在衡量对精神健康问题个体的偏见方面的有效性。Kenny等人的原始乐器被从英语翻译成意大利语,反之亦然。455名说意大利语的参与者(65%为女性;法师= 33.39;SD = 13.21)进行验证性因素分析,确认了四因素结构(恐惧/回避、恶意、威权主义、不可预测性)。因子负荷表明,每个维度都有很好的表征,支持量表的结构效度。模型拟合指数,包括卡方(χ2 = 782.54, df = 296.00, χ2/df = 2.64)、RMSEA (0.06, 90% CI: 0.060-0.07)、CFI(0.93)、TLI(0.91)和SRMR(0.06),表明模型拟合良好。此外,相关分析和异质性/单性状(HTMT)比率的分析也为PPMI量表与社会期望相比的区别效度提供了证据。这些发现证实了PPMI量表是评估对有心理健康问题的个人偏见的有效和可靠的工具,使其适用于学术研究、临床干预和公共政策背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Prejudice Towards People with Mental Illness Scale: Psychometric Properties of the Italian Version (PPMI-IT).

The Prejudice Towards People with Mental Illness Scale: Psychometric Properties of the Italian Version (PPMI-IT).

Currently, there are no validated instruments in Italian specifically designed to assess mental illness stigma or prejudice. Moreover, implicit measures, while insightful, are often resource-intensive and impractical for large-scale population studies of Italian speakers. The present study investigated the validity of the Italian version of the Prejudice towards People with Mental Illness scale (PPMI-IT) in measuring biases toward individuals with mental health issues. The original instrument by Kenny et al. was translated from English into Italian and vice versa. A sample of 455 Italian-speaking participants (65% female; Mage = 33.39; SD = 13.21) was utilized to conduct a confirmatory factor analysis, confirming a four-factor structure (fear/avoidance, malevolence, authoritarianism, unpredictability). Factor loadings indicated that each dimension was well represented, supporting the construct validity of the scale. Model fit indices, including chi-square (χ2 = 782.54, df = 296.00, χ2/df = 2.64), RMSEA (0.06, 90% CI: 0.060-0.07), CFI (0.93), TLI (0.91), and SRMR (0.06), suggest an excellent model fit. Furthermore, the analysis of correlations and the heterotrait/monotrait (HTMT) ratio provides evidence supporting the discriminant validity of the PPMI scale compared with social desirability. These findings confirm that the PPMI scale is a valid and reliable tool for assessing biases toward individuals with mental health issues, making it suitable for academic research, clinical interventions, and public policy contexts.

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来源期刊
CiteScore
4.40
自引率
12.50%
发文量
111
审稿时长
8 weeks
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