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Data quality indicators for daily life chart methodology: prospective self-ratings of bipolar disorder and alcohol use

机译:日常生活图表方法的数据质量指标:双相情感障碍和饮酒的预期自我评价

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摘要

BackgroundSelf-rating instruments which require a large number of repeated assessments over time are increasingly popular in psychiatry. They are well suited to describing variations in mental states, especially in order to investigate effects of behaviour and events on functioning and mood. For bipolar disorder, the self-rating instrument ‘NIMH daily life chart’ was developed to assess the course of the illness. This instrument has been validated in the customary ways, yet information about data quality (e.g. completeness, consistency, construct validity, reactivity) was lacking. The goal of this study was to develop several data quality indicators computed from data, in order to be able to detect respondents that provide less valid or reliable data.
机译:背景技术随着时间的流逝,需要大量重复评估的自评工具在精神病学中越来越受欢迎。它们非常适合描述精神状态的变化,尤其是为了研究行为和事件对功能和情绪的影响。对于双相情感障碍,开发了自评工具“ NIMH日常生活图表”以评估疾病的进程。该仪器已通过常规方式进行了验证,但缺少有关数据质量的信息(例如完整性,一致性,结构有效性,反应性)。这项研究的目的是开发一些根据数据计算得出的数据质量指标,以便能够检测出提供较少有效或可靠数据的受访者。

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