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Cited by 316

The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.

Advancements in Research Synthesis Methods: From a Methodologically Inclusive Perspective

Suri, Harsh, Clarke, David·2009·Review of Educational Research

Abstract

The dominant literature on research synthesis methods has positivist and neo-positivist origins. In recent years, the landscape of research synthesis methods has changed rapidly to become inclusive. This article highlights methodologically inclusive advancements in research synthesis methods. Attention is drawn to insights from interpretive, critical, and participatory traditions for enhancing trustworthiness, utility, and/or emancipatory potential for research syntheses. Also noted is a paucity of the literature that builds connections between methodologically diverse segments of the literature on research synthesis methods. Salient features of a methodologically inclusive research synthesis (MIRS) framework are described. The MIRS framework has been conceptualized by distilling and synthesizing ideas, theories, and strategies from the extensive literatures on research synthesis methods and primary research methods. Rather than prescribe how a research synthesis should be conducted or evaluated, this article attempts to open spaces, raise questions, explore possibilities, and contest taken-for-granted practices.

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Metadata

Authors
Suri, H., & Clarke, D.
Venue
Review of Educational Research
Published
2009-03
Volume
79
Issue
1
Pages
395-430
ISSN
  • 0034-6543 (ISSN-L)
  • 1935-1046
OpenAlex
W2149491422
Cited by
316
References
125
FWCI
11.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advancements in Research Synthesis Methods: From a Methodologically Inclusive Perspective. https://app.cochat.ai/papers/10.3102/0034654308326349
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Suri, H., & Clarke, D. (2009). Advancements in Research Synthesis Methods: From a Methodologically Inclusive Perspective. Review of Educational Research. https://doi.org/10.3102/0034654308326349

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.