Four free guides that follow one real convergent study: the same diabetes coaching program running at two clinics, where one site's patients gained confidence and improved while the other site's did the work and their numbers stayed flat.
Written for researchers who are comfortable with numbers and new to integration. Every term is defined at the point of use. No qualitative background needed.
What convergent mixed methods actually means, choosing the design, mapping your variables, and the data quality checks that run before any analysis. Includes the two variable-type corrections that decide which tests become available later.
Both strands, each on its own terms. Group comparisons with assumption diagnostics on the numbers side, and coding open responses into themes with a codebook another researcher could apply on the words side.
Where the strands meet. Merging, the contextual lens, judging convergence and divergence, the conclusions only the combined evidence supports, and assembling a report you can defend.
One joint display built start to finish: merge readiness, the theme display, the case matrix, and the discordant cases that challenge a tidy conclusion before you write it.
Every guide runs on the same fifty patients. That is deliberate: integration is a claim about how two kinds of evidence relate, and you cannot learn it from fragments. By the end you will have watched one question get answered, and watched a conclusion that would have blamed patients get replaced by one about access.