Turning Data Into Defensible Findings
Choose appropriate data analysis methods, evaluate assumptions, interpret quantitative or qualitative results, and turn raw research data into defensible findings without claiming more than the evidence supports.
The numbers never speak entirely for themselves.
Data do not become findings simply because a statistical test has been run or themes have been identified. Analysis requires researchers to make choices about preparation, assumptions, missing information, analytical methods, uncertainty, interpretation, and the strength of the conclusions that can reasonably follow from the evidence.
Those decisions differ across quantitative and qualitative research, but the underlying challenge is similar. Researchers need methods that fit their data and question, must examine whether important assumptions have been met, and should consider alternative explanations, robustness, uncertainty, and limitations when interpreting their results.
The most important distinction often lies between what the analysis demonstrates and what the researcher hopes it demonstrates. Defensible findings acknowledge uncertainty and methodological limits, separate evidence from speculation, and avoid making causal, general, or definitive claims that extend beyond what the study can actually establish.
From raw data to defensible findings
Understand the analytical decisions that turn collected data into evidence without overstating what the results mean.
Your findings now need to be communicated.
The next stage is turning the completed study into a manuscript that another researcher can understand, evaluate, and potentially reproduce.
Writing a Research Paper Worth Reading
Write a clear research paper that communicates your problem, methods, results, and conclusions while addressing reporting guidelines, contributor roles, and the responsibilities involved in preparing a manuscript.
Continue to Part 08 →