Research methodology

R. Gibbons
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引用次数: 0

Abstract

Given the diversity of psychiatric research, having a statistically rigorous set of methodological tools for the design and analysis is critically important. The field of psychiatry has, in and of itself, inspired several advances in research methodology that have led to widespread use across all areas of medicine and, more generally, throughout the biological, social, and physical sciences. This chapter reviews statistical and methodological contributions to the analysis of longitudinal data, inter-rater agreement, item response theory (IRT), and computerized adaptive testing (CAT), as well as the joint modelling of both the mean and variance functions in intensive longitudinal data (location-scale models). It is written for a general psychiatric research audience, but lays out areas for future study and development for quantitative scientists as well.
研究方法
鉴于精神病学研究的多样性,有一套严谨的统计学方法工具来设计和分析是至关重要的。精神病学领域,就其本身而言,激发了研究方法的若干进步,这些进步导致了医学所有领域的广泛应用,更广泛地说,贯穿了生物、社会和物理科学。本章回顾了纵向数据分析、评分者间一致性、项目反应理论(IRT)和计算机化自适应测试(CAT)的统计和方法贡献,以及密集纵向数据(地点尺度模型)中均值和方差函数的联合建模。它是为一般的精神病学研究读者写的,但也为定量科学家列出了未来研究和发展的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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