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如何进行整合性混合方法元分析:定量与定性证据系统评价指南

How to conduct an integrative mixed methods meta-analysis: A tutorial for the systematic review of quantitative and qualitative evidence.

作者信息

Levitt Heidi M

机构信息

Department of Psychology, University of Massachusetts Boston.

出版信息

Psychol Methods. 2024 Oct 3. doi: 10.1037/met0000675.

Abstract

This article is a guide on how to conduct mixed methods meta-analyses (sometimes called mixed methods systematic reviews, integrative meta-analyses, or integrative meta-syntheses), using an integrative approach. These aggregative methods allow researchers to synthesize qualitative and quantitative findings from a research literature in order to benefit from the strengths of both forms of analysis. The article articulates distinctions in how qualitative and quantitative methodologies work with variation to develop a coherent theoretical basis for their integration. In advancing this methodological approach to integrative mixed methods meta-analysis (IMMMA), I provide rationales for procedural decisions that support methodological integrity and address prior misconceptions that may explain why these methods have not been as commonly used as might be expected. Features of questions and subject matters that lead them to be amenable to this research approach are considered. The steps to conducting an IMMMA then are described, with illustrative examples, and in a manner open to the use of a range of qualitative and quantitative meta-analytic approaches. These steps include the development of research aims, the selection of primary research articles, the generation of units for analysis, and the development of themes and findings. The tutorial provides guidance on how to develop IMMMA findings that have methodological integrity and are based upon the appreciation of the distinctive approaches to modeling variation in quantitative and qualitative methodologies. The article concludes with guidance for report writing and developing principles for practice. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

摘要

本文是一篇关于如何采用综合方法进行混合方法元分析(有时也称为混合方法系统评价、综合元分析或综合元综合)的指南。这些汇总方法使研究人员能够综合研究文献中的定性和定量研究结果,以便从两种分析形式的优势中获益。本文阐述了定性和定量方法在处理变量时的差异,以便为它们的整合建立一个连贯的理论基础。在推进这种综合混合方法元分析(IMMMA)的方法论时,我为支持方法论完整性的程序决策提供了理论依据,并解决了一些先前的误解,这些误解可能解释了为什么这些方法没有像预期的那样被广泛使用。文中考虑了使问题和主题适合这种研究方法的特征。然后描述了进行IMMMA的步骤,并配有示例,且以一种可以使用一系列定性和定量元分析方法的方式呈现。这些步骤包括制定研究目标、选择主要研究文章、生成分析单元以及形成主题和研究结果。本教程为如何得出具有方法论完整性且基于对定量和定性方法中变量建模独特方法理解的IMMMA研究结果提供了指导。文章最后给出了报告撰写的指导以及实践原则的制定。(PsycInfo数据库记录(c)2025美国心理学会,保留所有权利)

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