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Citizenship and recovery: two intertwined concepts for civic-recovery

机译:公民身份与康复:公民康复的两个相互交织的概念

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Background Validation of the psychometric properties of a new measure of citizenship was required for a research project in the province of Quebec, Canada. This study was meant to study the interplay between recovery- and citizenship-oriented supportive employment. As recovery and citizenship were expected to be two related concepts, convergent validity between the Citizenship Measure (CM) and the Recovery Assessment Scale (RAS) was tested. Methods Study objectives were to: 1) conduct exploratory factor analyses on the CM and confirmatory factor analysis on the RAS tools (construct validity), 2) calculate Cronbach’s alphas for each dimension emerging from objective 1 (reliability), and 3) calculate correlations between all dimensions from both tools (convergent validity). Data were collected from 174 individuals with serious mental illness, working in social firms. Serious mental illnesses include major depression, schizophrenia, bipolar disorder, obsessive compulsive disorder, panic disorder, post traumatic stress disorder and borderline personality disorder. Results Five factors emerged from the exploratory factor analysis of the CM, with good reliability. Confirmatory factor analyses showed that the short and the long versions of the RAS present satisfactory results. Finally, the correlation matrix indicated that all dimensions from both tools are significantly correlated, thus confirming their convergent validity. Conclusions This study confirms the validity and reliability of two tools, CM and RAS. These tools can be used in combination to assess citizenship and recovery, both of which may be combined in the new concept of civic-recovery.
机译:背景技术在加拿大魁北克省的一项研究项目中,需要验证一种新的公民身份测度的心理计量学特性。这项研究旨在研究以恢复为导向和以公民身份为导向的支持性就业之间的相互作用。由于预期恢复和公民身份是两个相关的概念,因此测试了公民身份量度(CM)和恢复评估量表(RAS)之间的收敛效度。方法研究目标是:1)在CM上进行探索性因素分析,在RAS工具上进行确认性因素分析(构建效度),2)计算从目标1(可靠性)产生的每个维度的Cronbach's alphas,3)计算两者之间的相关性两种工具的所有维度(收敛有效性)。数据来自在社会企业工作的174名严重精神疾病患者。严重的精神疾病包括严重抑郁症,精神分裂症,躁郁症,强迫症,惊恐症,创伤后应激障碍和边缘型人格障碍。结果CM的探索性因素分析得出了五个因素,具有较高的信度。验证性因素分析表明,RAS的短版和长版均显示令人满意的结果。最后,相关矩阵表明两个工具的所有维度都显着相关,从而确认了它们的收敛有效性。结论这项研究证实了CM和RAS这两种工具的有效性和可靠性。这些工具可以结合使用来评估公民身份和恢复,这两种方法都可以结合到新的公民恢复概念中。

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