The Table-Restatement Problem
One of the most persistent weaknesses in Malaysian quantitative thesis findings chapters is the table-restatement pattern: every table is preceded by a sentence saying “Table X presents the following results” and followed by sentences that reproduce in prose what the table already shows in numbers. This approach produces a findings chapter that is simultaneously redundant and analytically thin — redundant because the prose duplicates the table, thin because the prose never adds insight about what the numbers mean or why they are notable. Writing about quantitative results in your thesis means using the prose to do what the table cannot: to guide, interpret, and contextualise.
What the Prose Should Do That the Table Cannot
A table presents all the numbers with equal visual weight. The prose can differentiate — directing the reader’s attention to the most significant values, noting patterns that might be missed in a dense table, identifying which results were expected and which were surprising, and providing the statistical and substantive context that makes individual numbers meaningful.
“Table 4 presents the correlations among all variables” says nothing. “The correlation matrix in Table 4 reveals that intrinsic motivation and peer support are the two strongest correlates of completion intention (r = .52 and r = .48 respectively, p < .001), while extrinsic motivation showed no significant relationship (r = .08, p = .34)" uses the prose to identify what matters most in the table and draws the reader's attention to the specific values that will drive the subsequent regression analysis. The table is still there for readers who want the full picture; the prose guides readers to the most analytically significant elements.
Describing Statistical Significance With Appropriate Nuance
When reporting significant results, also note the effect size. Statistical significance tells you whether an effect is likely to be real; effect size tells you whether it is practically meaningful. “The difference between groups was statistically significant (p < .001)" is incomplete. "The difference between groups was statistically significant (p < .001), with a medium effect size (d = .53), suggesting the observed difference is practically as well as statistically meaningful" provides the full picture that allows evaluation of the finding's importance.
For non-significant results, use the prose to note the confidence interval and what it implies: “No significant difference was found (p = .23), with a confidence interval [−0.12, 0.45] that includes zero, consistent with a null effect.” This specificity distinguishes careful quantitative reporting from thin results presentation. Writing about quantitative results by directing attention, contextualising significance, and reporting effect sizes transforms your findings chapter from a table gallery into a genuine analytical contribution.
