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Mixed-Methods Integration Quality Assessment

A team-level diagnostic for mixed-methods research projects, evaluating convergence, divergence, and integration rigor across qualitative and quantitative strands to guide analytic next steps.

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AI-Powered Questions

Intelligent follow-up questions based on responses

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Template Overview

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This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.

Sample Survey Items

Q1
Chat Message
Welcome to this mixed-methods integration review. Your responses will help the team assess how well qualitative and quantitative strands converge and identify areas for improvement. Participation is voluntary and you may stop at any time. There are no right or wrong answers—we value your honest assessment based on your direct experience with this project. Responses will be shared only within the project team in aggregate form. Estimated time: 10–12 minutes.
Q2
Multiple Choice
Which components of this study did you directly contribute to? Select all that apply.
  • Qualitative data collection
  • Qualitative analysis
  • Survey instrument/design
  • Quantitative analysis
  • Data integration/synthesis
  • Interpretation/write-up
  • Other
Q3
Opinion Scale
How clear were the mixed-methods objectives at the study design stage?
Range: 1 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q4
Multiple Choice
Which data sources were included in this integration? Select all that apply.
  • Interviews
  • Focus groups
  • Open-ended survey responses
  • Observational/field notes
  • Administrative/transactional data
  • Structured survey data
  • Experiments
  • Other
Q5
Opinion Scale
Overall, to what extent do the qualitative and quantitative results point to the same conclusions?
Range: 1 7
Min: No convergence at allMid: NeutralMax: Complete convergence
Q6
Multiple Choice
Which strand—qualitative, quantitative, or both equally—contributed most to the study's key insights overall?
  • Primarily qualitative
  • Primarily quantitative
  • Both contributed equally
  • Difficult to determine
Q7
Long Text
Briefly describe one example of clear convergence (or near-convergence) you observed between the qualitative and quantitative findings.
Max chars
Q8
Opinion Scale
How substantial were the discrepancies between the qualitative and quantitative findings in this project?
Range: 1 7
Min: None or trivialMid: NeutralMax: Very substantial
Q9
Multiple Choice
What types of discrepancies were present? Select all that apply.
  • Directional disagreement (opposite signs/themes)
  • Magnitude differences (size/strength)
  • Subgroup inconsistency
  • Timing/temporal mismatch
  • Measurement/operationalization mismatch
  • Sampling/coverage bias
  • Analytic/modeling choices
  • None observed
  • Other
Q10
Long Text
Describe the most consequential discrepancy you observed: what differed, and where it appeared.
Max chars
Q11
Ranking
Rank the following actions to address discrepancies from highest to lowest priority.
Drag to order (top = most important)
  1. Re-examine qualitative codebook/themes
  2. Sensitivity checks/alternative specifications
  3. Revisit measurement/construct alignment
  4. Sample weighting or balance diagnostics
  5. Collect targeted follow-up data
  6. Cross-walk via joint display/convergence coding
Q12
Opinion Scale
How well were qualitative and quantitative strands integrated across stages (design, analysis, interpretation)?
Range: 1 7
Min: Not integrated at allMid: NeutralMax: Fully integrated
Q13
Multiple Choice
Which integration techniques were used in this project? Select all that apply.
  • Joint displays
  • Convergence coding matrix
  • Data transformation (qualitize/quantize)
  • Framework matrix
  • Meta-inferences workshop or meeting
  • Narrative weaving
  • None of the above
  • Other
Q14
Long Text
What, if any, barriers limited the integration of qualitative and quantitative strands?
Max chars
Q15
Ranking
Rank the following sources by their influence on the study's final conclusions, from most to least influential.
Drag to order (top = most important)
  1. Qualitative evidence
  2. Quantitative evidence
  3. Integration/synthesis process
  4. Stakeholder/community input
Q16
Opinion Scale
How confident are you in the integrated conclusions of this study?
Range: 1 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q17
Multiple Choice
Based on the current evidence, which next steps should the team take? Select all that apply.
  • Proceed to dissemination as is
  • Make minor analytic refinements
  • Substantive re-analysis
  • Collect additional qualitative data
  • Collect additional quantitative data
  • Stakeholder/member-check discussion
  • Revise theoretical framing
  • Other
Q18
AI Interview
We'd like to explore your perspective on the integration process in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your experience with this project.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q19
Long Text
Based on your responses throughout this review, is there anything else the team should consider when interpreting or reporting the integrated results?
Max chars
Q20
Dropdown
How many years of experience do you have with mixed-methods research?
  • 0–1 years
  • 2–4 years
  • 5–9 years
  • 10+ years
Q21
Multiple Choice
Which methodological training best describes your background? Select all that apply.
  • Primarily qualitative
  • Primarily quantitative
  • Mixed-methods
  • Evaluation-focused
  • Implementation science
  • Other
Q22
Dropdown
In which region are you primarily based? (Optional)
  • Africa
  • Asia
  • Europe
  • Latin America/Caribbean
  • Middle East
  • North America
  • Oceania
  • Prefer not to say
Q23
Chat Message
Thank you for completing this review. Your input will directly strengthen the team's integrated conclusions and help guide next steps.

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