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. 2016 Winter;15(4):rm5. doi: 10.1187/cbe.16-01-0022

TABLE 1.

Methodological issues to consider when conducing MMR research

Issues to consider Questions to ask
1. Sample size What sample size is appropriate for research addressed?
○ Sample size is likely to vary between quantitative and qualitative work due to practical concerns like money, time, effort, and the main purposes of the study.
○ A targeted or deliberate sample often better meets study objectives in qualitative work, whereas a large sample is necessary for quantitative work. One must consider trade-offs in sample size when deciding which method should take priority in the chosen design
2. Participant burden What burden is placed on participants?
○ If collecting both qualitative and quantitative data, do both kinds of data need to be collected from the same individuals?
○ A researcher must consider what issues could arise if data are collected from different participants
3. Analysis and interpretative issues What to consider when analyzing the data?
○ One must consider how analysis of different types of data can strengthen the collection and analysis of the other data type, and plan the study accordingly
○ One must also recognize that study design may need to change midstudy based on early findings.
4. Transparency What to report?
○ For each design, one must report how the mixed-methods study design addressed shortcomings often associated with single-method studies
○ For sequential designs, how did the results in the first phase inform research processes in the second phase?
○ For concurrent designs, how was data integrated, especially if the findings diverged?
○ For data-transformation designs, was richness and depth that was associated with the qualitative approach lost when data were transformed? If so, does this loss affect study outcomes?