2018
DOI: 10.1177/1558689818780596a
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Rebuttal—Conceptualizing Integration During Both the Data Collection and Data Interpretation Phases: A Response to David Morgan

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Cited by 21 publications
(19 citation statements)
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References 14 publications
(18 reference statements)
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“…Merging was conducting by CN and co-authors RB, JA and BR. When comparing the quantitative and qualitative results, we examined four possible outcomes [52]: 1) Confirmation , when the quantitative and qualitative findings lead to the same interpretation 2) Complementarity , when the two sets of data show different, non-conflicting conclusions 3) Expansion , when the datasets provide a central overlapping theme and a broader non-overlapping interpretation 4) Discordance , when the two datasets lead to conflicting interpretations. The outcomes are presented in a cross-tabulation format [53] to illustrate how the findings compare.…”
Section: Methodsmentioning
confidence: 99%
“…Merging was conducting by CN and co-authors RB, JA and BR. When comparing the quantitative and qualitative results, we examined four possible outcomes [52]: 1) Confirmation , when the quantitative and qualitative findings lead to the same interpretation 2) Complementarity , when the two sets of data show different, non-conflicting conclusions 3) Expansion , when the datasets provide a central overlapping theme and a broader non-overlapping interpretation 4) Discordance , when the two datasets lead to conflicting interpretations. The outcomes are presented in a cross-tabulation format [53] to illustrate how the findings compare.…”
Section: Methodsmentioning
confidence: 99%
“…Integration occurred both at the methods level, through basing interview questions on the questionnaire sections, and at the results level, through merging [ 36 , 49 ] questionnaire and interview findings. When merging the two sets of results, four possible outcomes were considered [ 50 ]: 1) Confirmation , when the quantitative and qualitative findings lead to the same interpretation 2) Complementarity , when the two sets of data show different, non-conflicting conclusions 3) Expansion, when the datasets provide a central overlapping theme and a broader non-overlapping interpretation 4) Discordance , when the two datasets lead to conflicting interpretations.…”
Section: Methodsmentioning
confidence: 99%
“…The qualitative and quantitative data were further used to refine and validate the moderating effect of financial literacy—the community-driven solution generated in the FGDs. This continual methodological process of connecting, building, generating, and testing a model (Fetters & Molina-Azorin, 2017, 2019) with community input demonstrates the cyclical nature of a transformative MMR approach (Mertens, 2010). Furthermore, this process integrated community knowledge and researcher expertise in a mutually reinforcing colearning opportunity (Hacker, 2013) that helped cocreate a community solution based on community voices and priorities.…”
Section: Methodsmentioning
confidence: 99%