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关于精神疾病的观点的文本图像整合尺度:发展和验证
Guan-Yu Shih1, Shih-Chen Fan2, Chung-Hui Lin3
1Guan-Yu Shih, BS, is Occupational Therapy Student, Department of Occupational Therapy, College of Medical Science and Technology, Chung Shan Medical University, Taichung City, Taiwan.
概括
一个新的文本图像整合量表有效地衡量了公众对精神疾病的看法,有助于消除耻辱的努力. 这种经过验证的工具有助于评估公众的看法,并支持针对心理健康耻辱的干预措施.
科学领域:
- 心理测量 心理测量
- 心理健康研究 心理健康研究
- 社会心理学 社会心理学
背景情况:
- 了解公众对精神疾病的看法对于制定有效的反耻辱化策略至关重要.
- 现有的工具可能无法充分捕捉公众对精神疾病的细微观点.
- 解决精神疾病的耻辱是改善康复结果和整体福祉的关键.
研究的目的:
- 开发和验证一个稳定有效的评级尺度,用于预测公众对精神疾病的看法.
- 评估开发的文字图像集成尺度的可靠性和有效性.
- 提供一个工具来评估脱 initiative 的影响.
主要方法:
- 一项使用在线互联网调查数据的描述性,横截面研究.
- 涉及200名志愿者,他们完成了调查.
- 开发了10项文字图像整合量表,并分析了其心理特征.
主要成果:
- 文本图像整合量表显示了强大的内容有效性 (CVI:0.831.00,尺度级:0.97) 和可接受的可靠性 (Cronbach的α = .80).
- 该尺度与心理健康识字量表 (MHLS) (r = .76,p < .001) 具有令人满意的标准相关有效性.
- 平均分数显示了公众对精神疾病的看法.
结论:
- 文本图像整合量表是一种可靠和有效的工具,用于评估公众对精神疾病的看法.
- 该尺度可以有效地评估脱污名化干预措施的成功.
- 研究结果支持在心理健康研究和实践中使用这种尺度,包括职业治疗师.
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