Expert guidance in designing, implementing, and integrating qualitative and quantitative methodologies. We support rigorous doctoral mixed methods research across all disciplines, helping you leverage the strengths of both paradigms for comprehensive, credible, and impactful findings.
Choose core design: convergent, sequential, or multiphase framework
Point of interface, data transformation, joint displays, meta-inferences
Integration narrative, validity strategies, and dissertation presentation
Four foundational mixed methods designs we expertly guide
Simultaneous collection of QUAL and QUANT data, independent analysis, and merging results through comparison or synthesis to develop comprehensive understanding
QUANT first followed by QUAL. Qualitative data explains, elaborates, or contextualizes quantitative findings. Priority typically given to quantitative strand
QUAL first followed by QUANT. Qualitative exploration informs instrument development, intervention design, or hypothesis testing in subsequent quantitative phase
Multiple phases over time. Embedded design where one method plays supplementary role within dominant framework (e.g., qualitative within RCT)
Rigorous support for data mixing and meta-inference generation
Side-by-side comparison, data transformation, joint displays, weaving narrative integration
Side-by-side joint displays, integrated displays, statistics-by-theme matrices, meta-matrix design
Convergence assessment, discordance resolution, meta-themes, legitimation frameworks
NVivo + SPSS integration, MAXQDA, R (mixed package), Dedoose, qualitative-quantitative workflows
Comprehensive guidance from design to defense
Selecting appropriate design, writing mixed methods purpose statements, developing integration protocols
Parallel or sequential data collection, sampling strategies (identical, nested, multilevel), data management plans
Within-method analysis, integration at multiple points, joint display construction, meta-theme identification
Legitimation strategies, quality criteria, integration trustworthiness, addressing design complexities
Journal selection for mixed methods, reporting standards (MMARS), manuscript structure for mixed findings
Structuring mixed methods chapters, integration narrative, addressing examiner expectations, defense preparation