Table 5.
| Quantitative descriptive |
| Is the sampling strategy relevant to address the quantitative research question (quantitative aspect of the mixed methods question)? |
| Is the sample representative of the population understudy? |
| Are measurements appropriate (clear origin, or validity known, or standard instrument)? |
| Is there an acceptable response rate (60% or above)? |
|
|
| Quantitative randomized controlled (trials) |
| Is there a clear description of the randomization (or an appropriate sequence generation)? |
| Is there a clear description of the allocation concealment (or blinding when applicable)? |
| Are there complete outcome data (80% or above)? Is there low withdrawal/drop-out (below 20%)? |
| Is there low withdrawal/drop-out (below 20%)? |
|
|
| Quantitative nonrandomized |
| Are participants (organizations) recruited in a way that minimizes selection bias? |
| Are measurements appropriate (clear origin, or validity known, or standard instrument; and absence of contamination between groups when appropriate) regarding the exposure/intervention and outcomes? |
| In the groups being compared (exposed vs. nonexposed; with intervention vs. without; cases vs. controls), are the participants comparable, or do researchers take into account (control for) the difference between these groups? |
| Are there complete outcome data (80% or above), and, when applicable, an acceptable response rate (60% or above), or an acceptable follow-up rate for cohort studies (depending on the duration of follow-up)? |