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The Journal of Mixed Methods Research is a peer-reviewed academic journal that publishes papers in the field of Research Methods.The journal's editors are Michael D. Fetters (Department of Family Medicine, Michigan Medicine, University of Michigan, United States) and Jose F. Molina-Azorin (University of Alicante, Alicante, Spain).
Multimethodology or multimethod research includes the use of more than one method of data collection or research in a research study or set of related studies.Mixed methods research is more specific in that it includes the mixing of qualitative and quantitative data, methods, methodologies, and/or paradigms in a research study or set of related studies.
He was a founding co-editor of the Journal of Mixed Methods Research, and was a Fulbright Scholar twice, in 2008 in South Africa and in 2012 in Thailand. [1] He was a visiting professor at the Harvard School of Public Health in 2013 and received an honorary doctorate from the University of Pretoria in 2014. [4]
Meta-research is the study of research through the use of research methods. Also known as "research on research", it aims to reduce waste and increase the quality of research in all fields. Meta-research concerns itself with the detection of bias, methodological flaws, and other errors and inefficiencies.
A systematic review is focused on a specific research question, trying to identify, appraise, select, and synthesize all high-quality research evidence and arguments relevant to that question. A meta-analysis is typically a systematic review using statistical methods to effectively combine the data used on all selected studies to produce a more ...
Qualitative research produces information only on the particular cases studied, and any more general conclusions are only hypotheses. Quantitative methods can be used to verify which of such hypotheses are true. A comprehensive analysis of 1274 articles published in the top two American sociology journals between 1935 and 2005 found that ...
A mixed model, mixed-effects model or mixed error-component model is a statistical model containing both fixed effects and random effects. [ 1 ] [ 2 ] These models are useful in a wide variety of disciplines in the physical, biological and social sciences.
A systematic review is a scholarly synthesis of the evidence on a clearly presented topic using critical methods to identify, define and assess research on the topic. [1] A systematic review extracts and interprets data from published studies on the topic (in the scientific literature), then analyzes, describes, critically appraises and summarizes interpretations into a refined evidence-based ...