Bridging the Gap: How to Turn Raw Statistical Data Into an Elegant Narrative

The results chapter of a quantitative dissertation sets the author a problem that sounds simple: the numbers need to tell a story, and numbers do not naturally tell stories. They answer questions. They confirm or disconfirm hypotheses, and they reveal relationships, differences, and distributions. Getting from what the statistics show to what the statistics mean — from the output of the analysis to the contribution of the study — requires an act of interpretation that is the author's responsibility. No statistical software will perform it.

The chapter's task is to present findings: an organized, narrative account of what the analysis revealed, written for a reader who is capable of evaluating the statistics and is relying on the author to explain their significance.

The organization question. Results chapters should be organized by research question, not by statistical test. Organized that way, the chapter reads as a series of answers — here is what the analysis revealed about research question one, here is what it revealed about research question two. A sequence of tests (the descriptive statistics, then the correlations, then the regression results) leaves the reader to reconstruct the relationship between the analysis and the study's purpose at the end. Organizing by research question keeps it explicit.

Presenting descriptive statistics. Descriptive statistics should be presented before inferential statistics, as a characterization of the sample and the distribution of the key variables. The presentation should include what the reader needs to evaluate the inferential analyses that follow — sample size, means, standard deviations, and relevant distributional information — without reproducing every piece of output the software generated. The rule is relevance. Include what the reader needs, and omit what the software produced but the argument does not require.

Integrating tables and text. Tables present statistical information efficiently. Interpreting it is the job of the text. Every table in the results chapter should be introduced in the text before it appears, identified by its table number, and followed by a narrative that highlights the findings most relevant to the research question. That narrative should direct the reader's attention to the specific values that matter and explain why they matter, without repeating the numbers in the table.

The transition to discussion. The results chapter ends and the discussion chapter begins at the point where the author moves from reporting what the analysis found to interpreting what the findings mean. Make that boundary explicit. Results chapters that drift into interpretation, explaining why the results came out as they did before the discussion chapter has begun, are among the most common structural problems in quantitative dissertations. So are discussion chapters that keep reporting results when they should be interpreting them.