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The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers

2018· article· en· 4 194 citations· W2901724277 sur OpenAlex· 10.3233/efi-180221

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Résumé

INTRODUCTION: Appraising the quality of studies included in systematic reviews combining qualitative and quantitative evidence is challenging. To address this challenge, a critical appraisal tool was developed: the Mixed Methods Appraisal Tool (MMAT). The aim of this paper is to present the enhance ments made to the MMAT. DEVELOPMENT: The MMAT was initially developed in 2006 based on a literature review on systematic reviews combining qualitative and quantitative evidence. It was subject to pilot and interrater reliability testing. A revised version of the MMAT was developed in 2018 based on the results from usefulness testing, a literature review on critical appraisal tools and a modified e-Delphi study with methodological experts to identify core criteria. TOOL DESCRIPTION: The MMAT assesses the quality of qualitative, quantitative, and mixed methods studies. It focuses on methodological criteria and includes five core quality criteria for each of the following five categories of study designs: (a) qualitative, (b) randomized controlled, (c) nonrandomized, (d) quantitative descriptive, and (e) mixed methods. CONCLUSION: The MMAT is a unique tool that can be used to appraise the quality of different study designs. Also, by limiting to core criteria, the MMAT can provide a more efficient appraisal.

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La notice

Revue
Education for Information
Thématique
Delphi Technique in Research
Domaine
Social Sciences
Établissements canadiens
Institut National de la Recherche ScientifiqueUniversité LavalUniversité de SherbrookeMcGill UniversityQuebec Rehabilitation Research Network
Organismes subventionnaires
Mots-clés
Inter-rater reliabilityLimitingPillarQuality (philosophy)Critical appraisalReliability (semiconductor)FidelityMultimethodologySystematic reviewComputer sciencePsychologyMedicineMEDLINEEngineeringChemistryPhysics
Résumé présent dans OpenAlex
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