Division of Cognitive Neuroscience, Department of Psychiatry, Columbia University, New York, NY, USA.
Schizophr Bull. 2012 May;38(3):386-95. doi: 10.1093/schbul/sbr186. Epub 2012 Jan 27.
Mobile assessment techniques have been used for nearly 3 decades in mental health research, including in investigations of individuals with schizophrenia and other severe disorders. This article reviews the benefits of these data collection strategies relative to traditional self-report or clinician-administered measures administered in hospital or laboratory settings. A detailed discussion of the technical decisions facing researchers in the field is then presented, covering study design issues, questionnaire content development, and choices in hardware and software selection. Following these points, sample recruitment and retention strategies are discussed, as well as the main statistical issues that are necessary to consider in the exploitation of repeated measures data generated by this methodology.
移动评估技术在精神健康研究中已经使用了近 30 年，包括对精神分裂症和其他严重障碍患者的研究。本文综述了这些数据收集策略相对于传统的自我报告或临床医生在医院或实验室环境中进行的评估的优势。然后，详细讨论了该领域研究人员面临的技术决策，涵盖了研究设计问题、问卷内容开发以及硬件和软件选择的选择。接下来，讨论了样本招募和保留策略，以及在利用这种方法产生的重复测量数据时必须考虑的主要统计问题。
