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In qualitative research, synthesis may involve grouping themes, building higher-order
concepts, or comparing interpretations across settings. The analysis must stay close to the
participants’ data, and we must note that translating or summarizing quotations with a tool
may lose tone, context, or power relations. Coding is reviewed against the original text, and
decisions that changed the themes are documented.
An evidence map helps display what exists and where the gaps are, without claiming a causal
answer. It may be a matrix or a diagram linking topics to designs, populations, and outcomes.
It is useful for decision-makers and researchers in identifying where to focus, but it does not
replace quality appraisal.
Disciplined inference distinguishes three levels: what we found, what we believe explains it,
and what we recommend. A recommendation does not follow automatically from an effect
size; it depends also on risks, costs, values, equity, and feasibility. Policy briefs must
therefore make the move from evidence to option explicit.
A tool can play the role of a methodological opponent: ask it to extract cases that contradict
the main theme, propose an alternative explanation for each conclusion, and identify a
sentence that goes beyond the evidence. But do not rely on its critique alone; it may invent
objections or fail to notice a domain-specific constraint.
FIGURE 7-6: THE LADDER FROM SUMMARY TO SCIENTIFIC SYNTHESIS
What to notice: Each rung requires additional analytical work: comparing, explaining,
synthesizing, and stating the limits of inference. Merging several summaries into one
paragraph is not synthesis.
Source: Prepared by the author.
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