Equal-weight explanatory sequential mixed methods design
The equal-weight explanatory sequential mixed methods design collects and analyzes quantitative data first, then uses qualitative data to explain or elaborate on the quantitative findings, assigning equal analytic priority to both strands. Unlike the standard explanatory sequential design — where quantitative data typically holds dominance — this variant treats the qualitative follow-up as equally essential to the study's conclusions, not merely supplementary.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). SAGE Publications. · URL
- Morse, J. M. (1991). Approaches to qualitative-quantitative methodological triangulation. Nursing Research, 40(2), 120–123. · URL
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.