Harkin Ben, Yates Alan
Department of Psychology, Manchester Metropolitan University, All Saints Building, Manchester M15 6BH, UK.
J Clin Med. 2024 Aug 7;13(16):4629. doi: 10.3390/jcm13164629.
Meta-analysis is a statistical tool used to combine and synthesise the results of multiple independent studies on a particular topic. To this end, researchers isolate important moderators and mediators to investigate their influence on outcomes. This paper introduces a novel approach to meta-analysis, known as multidimensional meta-analysis (mi-MA), to study memory performance in those with obsessive-compulsive disorder (OCD). Unlike traditional meta-analyses, mi-MA allows researchers to extract multiple data points (e.g., using different measures) from single studies and groups of participants, facilitating the exploration of relationships between various moderators while avoiding multicollinearity issues. Therefore, in the first instance, we outline the use of the mi-MA approach to quantify the impact of complex models of memory performance in individuals with OCD. This approach provides novel insights into the complex relationship between various factors affecting memory in people with OCD. By showcasing the effectiveness of mi-MA in analysing intricate data and modelling complex phenomena, the paper establishes it as a valuable tool for researchers exploring multifaceted phenomena, both within OCD research and beyond.
元分析是一种统计工具,用于汇总和综合关于某一特定主题的多项独立研究的结果。为此,研究人员分离出重要的调节变量和中介变量,以调查它们对结果的影响。本文介绍了一种新的元分析方法,即多维元分析(mi-MA),用于研究强迫症(OCD)患者的记忆表现。与传统元分析不同,mi-MA允许研究人员从单个研究和参与者组中提取多个数据点(例如,使用不同的测量方法),便于探索各种调节变量之间的关系,同时避免多重共线性问题。因此,首先,我们概述了mi-MA方法在量化强迫症患者复杂记忆表现模型影响方面的应用。这种方法为影响强迫症患者记忆的各种因素之间的复杂关系提供了新的见解。通过展示mi-MA在分析复杂数据和建模复杂现象方面的有效性,本文将其确立为研究人员探索多方面现象的宝贵工具,无论是在强迫症研究领域还是其他领域。