The Institute for Urban Policy Research & Analysis, University of Texas at Austin, Austin, TX, USA; School of Social Work, University of Texas at Austin, Austin, TX, USA; Department of Social Work, University of Texas at El Paso, El Paso, TX, USA.
School of Social Work, University of Texas at Austin, Austin, TX, USA.
Psychiatry Res. 2016 Sep 30;243:278-86. doi: 10.1016/j.psychres.2016.06.034. Epub 2016 Jun 26.
Mental health literacy (MHL) is an important factor in mental health care. However, few measures are available that assess multiple components of MHL and that are applicable to lay community people. A valid, comprehensive measure is needed to adequately identify the level of MHL and need for mental health education. This study presents the development of a multicomponent MHL measure and its psychometric properties. Participants (n=211) were recruited from a local public housing authority in Texas. A series of an exploratory factor analysis, a confirmatory factor analysis, an independent sample t-test, and a correlation analysis were used to assess construct, known-groups, and concurrent validity. Internal consistency reliability was examined by Kuder-Richardson Formula 20. The result suggested a second-order factor model by three first-order factors: knowledge-oriented MHL; beliefs-oriented MHL; resource-oriented MHL. This measure was a valid tool to assess MHL among public housing staff. This measure can be useful in examining lay community members' levels of MHL.
心理健康素养（MHL）是心理健康护理的一个重要因素。然而，评估 MHL 多个组成部分且适用于普通社区人群的测量方法却寥寥无几。需要一种有效的、全面的方法来充分确定 MHL 的水平和心理健康教育的需求。本研究提出了一种多成分 MHL 测量方法及其心理测量学特性。参与者（n=211）是从德克萨斯州当地的公共住房管理局招募的。采用一系列探索性因素分析、验证性因素分析、独立样本 t 检验和相关分析来评估结构、已知组和同时效性。采用 Kuder-Richardson 公式 20 来检验内部一致性可靠性。结果表明，该模型存在三个一阶因素，即：以知识为导向的 MHL；以信念为导向的 MHL；以资源为导向的 MHL。该测量方法是评估公共住房工作人员 MHL 的有效工具。该测量方法可用于检验普通社区成员的 MHL 水平。
