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? |