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Danielle Pollock; Timothy Hugh Barker; Jennifer C. Stone; Edoardo Aromataris; Miloslav Klugar; Anna M. Scott; Cindy Stern; Amanda Ross-White; Ashley Whitehorn; Rick Wiechula; Larissa Shamseer; Zachary Munn – Research Synthesis Methods, 2024
Predatory journals are a blemish on scholarly publishing and academia and the studies published within them are more likely to contain data that is false. The inclusion of studies from predatory journals in evidence syntheses is potentially problematic due to this propensity for false data to be included. To date, there has been little exploration…
Descriptors: Periodicals, Deception, Ethics, Medical Research
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Reem El Sherif; Pierre Pluye; Quan Nha Hong; Benoît Rihoux – Research Synthesis Methods, 2024
Qualitative comparative analysis (QCA) is a hybrid method designed to bridge the gap between qualitative and quantitative research in a case-sensitive approach that considers each case holistically as a complex configuration of conditions and outcomes. QCA allows for multiple conjunctural causation, implying that it is often a combination of…
Descriptors: Comparative Analysis, Qualitative Research, Statistical Analysis, Researchers
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Toews, Ingrid; Nyirenda, John L. Z.; Stadelmaier, Julia; Schwarzer, Guido; Noyes, Jane; Booth, Andrew; Lewin, Simon; Meerpohl, Joerg J. – Research Synthesis Methods, 2022
A considerable proportion of quantitative research remains unpublished once completed. Little research has documented non-dissemination and dissemination bias in qualitative research. This study aimed to generate evidence on the extent of non-dissemination in qualitative research. We followed a cohort of qualitative studies presented as conference…
Descriptors: Foreign Countries, Information Dissemination, Qualitative Research, Bias
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Kahwati, Leila C.; Kelly, Bridget J.; Johnson, Mihaela; Clark, Rachel T.; Viswanathan, Meera – Research Synthesis Methods, 2023
Background: Enhanced uptake of systematic reviews that use qualitative comparative analyses (QCA) requires knowing how end-users interpret such findings. The study purpose was to identify effective approaches to communicating results from a QCA within a systematic review. Methods: Sequential exploratory mixed methods design; thematic analysis of…
Descriptors: Qualitative Research, Mixed Methods Research, Comparative Analysis, Interviews
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van Grootel, Leonie; Balachandran Nair, Lakshmi; Klugkist, Irene; van Wesel, Floryt – Research Synthesis Methods, 2020
In mixed methods reviewing, data from quantitative and qualitative studies are combined at the review level. One possible way to combine findings of quantitative and qualitative studies is to quantitize qualitative findings prior to their incorporation in a quantitative review. There are only a few examples of the quantification of qualitative…
Descriptors: Mixed Methods Research, Statistical Analysis, Qualitative Research, Research Methodology
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Shaw, Liz; Nunns, Michael; Briscoe, Simon; Anderson, Rob; Thompson Coon, Jo – Research Synthesis Methods, 2021
The short time frame associated with rapid reviews can be challenging for researchers conducting qualitative evidence synthesis. In these circumstances a Best-Fit Framework Synthesis, drawing upon existing theory and/or research, may be conducted to rapidly make sense of qualitative evidence. This article discusses a "Rapid Best-Fit"…
Descriptors: Synthesis, Qualitative Research, Evidence, Literature Reviews
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Jager, Nicolas W.; Newig, Jens; Challies, Edward; Kochskämper, Elisa; von Wehrden, Henrik – Research Synthesis Methods, 2022
Meta-analytical methods face particular challenges in research fields such as social and political research, where studies often rest primarily on qualitative and case study research. In such contexts, where research findings are less standardized and amenable to structured synthesis, the case survey method has been proposed as a means of data…
Descriptors: Social Sciences, Meta Analysis, Case Studies, Validity
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Rogers, Morwenna; Bethel, Alison; Abbott, Rebecca – Research Synthesis Methods, 2018
Background: Qualitative research in dementia improves understanding of the experience of people affected by dementia. Searching databases for qualitative studies is problematic. Qualitative-specific search strategies might help with locating studies. Objective: To examine the effectiveness (sensitivity and precision) of 5 qualitative strategies on…
Descriptors: Dementia, Databases, Medical Research, Qualitative Research
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Brunton, Ginny; Webbe, James; Oliver, Sandy; Gale, Chris – Research Synthesis Methods, 2020
Trials evaluating the same interventions rarely measure or report identical outcomes. This limits the possibility of aggregating effect sizes across studies to generate high-quality evidence through systematic reviews and meta-analyses. To address this problem, core outcome sets (COS) establish agreed sets of outcomes to be used in all future…
Descriptors: Intervention, Outcome Measures, Effect Size, Qualitative Research
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Haynes, Emily; Garside, Ruth; Green, Judith; Kelly, Michael P.; Thomas, James; Guell, Cornelia – Research Synthesis Methods, 2019
Approaches to synthesizing qualitative data have, to date, largely focused on integrating the findings from published reports. However, developments in text mining software offer the potential for efficient analysis of large pooled primary qualitative datasets. This case study aimed to (a) provide a step-by-step guide to using one software…
Descriptors: Qualitative Research, Data, Synthesis, Automation
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Veroniki, Areti Angeliki; Jackson, Dan; Viechtbauer, Wolfgang; Bender, Ralf; Bowden, Jack; Knapp, Guido; Kuss, Oliver; Higgins, Julian P. T.; Langan, Dean; Salanti, Georgia – Research Synthesis Methods, 2016
Meta-analyses are typically used to estimate the overall/mean of an outcome of interest. However, inference about between-study variability, which is typically modelled using a between-study variance parameter, is usually an additional aim. The DerSimonian and Laird method, currently widely used by default to estimate the between-study variance,…
Descriptors: Meta Analysis, Methods, Computation, Simulation
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van Grootel, Leonie; van Wesel, Floryt; O'Mara-Eves, Alison; Thomas, James; Hox, Joop; Boeije, Hennie – Research Synthesis Methods, 2017
Background: This study describes an approach for the use of a specific type of qualitative evidence synthesis in the matrix approach, a mixed studies reviewing method. The matrix approach compares quantitative and qualitative data on the review level by juxtaposing concrete recommendations from the qualitative evidence synthesis against…
Descriptors: Correlation, Evidence, Qualitative Research, Statistical Analysis
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Melendez-Torres, G. J.; Grant, Sean; Bonell, Chris – Research Synthesis Methods, 2015
Introduction: Reciprocal translation, the understanding of one study's findings in terms of another's, is the foundation of most qualitative metasynthetic methods. In light of the proliferation of metasynthesis methods, the current review sought to create a taxonomy of operations of reciprocal translation using recently published qualitative…
Descriptors: Qualitative Research, Synthesis, Public Health, Taxonomy
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Stansfield, Claire; Brunton, Ginny; Rees, Rebecca – Research Synthesis Methods, 2014
Background: When literature searching for systematic reviews, it is good practice to search widely across different information sources. Little is known about the contributions of different publication formats (e.g. journal article and book chapter) and sources, especially for studies of people's views. Method: Studies from four reviews spanning…
Descriptors: Literature Reviews, Search Strategies, Information Sources, Public Health
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Carroll, Christopher; Booth, Andrew – Research Synthesis Methods, 2015
The critical appraisal and quality assessment of primary research are key stages in systematic review and evidence synthesis. These processes are driven by the need to determine how far the primary research evidence, singly and collectively, should inform findings and, potentially, practice recommendations. Quality assessment of primary…
Descriptors: Educational Assessment, Educational Quality, Statistical Analysis, Evidence
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