Unit 4 returns to the elements of argument — but now applies them specifically to research literature. Reading research articles critically requires the same analytical framework as evaluating any argument, but the conventions and complexity of academic writing demand additional attention.
By Unit 4, your extended investigation is well underway and you are reading literature to:
- Contextualise and extend your own findings
- Identify how others have argued for similar or competing conclusions
- Critically evaluate the reasoning in sources you cite
- Model the kinds of arguments you construct in your own report
Your ability to identify and assess argument elements in research literature is now applied — not just theoretical.
KEY TAKEAWAY: Research articles are structured arguments. They have a thesis (conclusion), evidence (data and prior literature), and reasoning (the logic connecting evidence to claim). Your job as a critical reader is to extract and evaluate that logical structure, not just the findings.
| Section | Argumentative Function |
|---|---|
| Introduction | States the research question and thesis; situates the argument in existing literature |
| Literature review | Establishes the logical premises — what is already known; where gaps exist |
| Methods | Justifies the approach — why this design produces trustworthy data |
| Results | Presents evidence |
| Discussion | Draws inferences from the evidence; connects back to the thesis |
| Conclusion | States the main conclusion and its significance; acknowledges limitations |
Understanding this structure allows you to navigate an article analytically rather than reading it linearly and passively.
Statements about what the data shows:
- “Participants in the experimental group showed a 15% improvement in recall.”
- These can be directly evaluated against the methodology and data.
The researcher’s explanation of what the empirical findings mean:
- “This improvement suggests that spaced repetition engages deeper processing mechanisms.”
- These require evaluation of the reasoning — do the data really support this interpretation?
Claims about how phenomena work at a more general level:
- “These findings are consistent with dual-process theory.”
- Evaluate whether the data genuinely supports the theoretical link claimed.
Between the evidence and the conclusion lies the reasoning. This is often implicit — researchers rarely write “because A, therefore B.” You must reconstruct it.
Ask:
- What inference is the researcher making from this data?
- What assumption is required for this inference to hold?
- Is that assumption stated, or hidden?
- Could the evidence support a different conclusion?
Example: A researcher finds that students who exercise score 5% higher on concentration tests. The reasoning is: exercise → improved concentration. But alternative explanation: students who exercise may also sleep better, eat better, or have different baseline characteristics. The reasoning contains a hidden assumption (that exercise is the cause, not just a correlate).
EXAM TIP: When asked to “identify the reasoning” in a research argument, look for the implicit step between data and conclusion. Often the question is really asking: “What assumption must be true for this conclusion to follow from this evidence?”
Not all evidence in research literature is empirical data from the study itself. Evidence also includes:
- Prior literature cited: “Smith (2020) found X; this supports the hypothesis.”
- Theoretical frameworks: “According to cognitive load theory, we would expect…”
- Statistical analyses: “A significant correlation (r = 0.67, p < 0.001) was found.”
- Qualitative excerpts: Quotes from interview transcripts illustrating a theme
Evaluate each type of evidence separately — do not assume that more evidence automatically means a stronger argument.
Well-constructed research conclusions are appropriately hedged to match the strength of the evidence:
| Evidence Strength | Appropriate Language |
|---|---|
| Very strong (RCT, large sample, replicated) | “demonstrates,” “establishes” |
| Moderate (correlational, reasonable sample) | “suggests,” “indicates,” “provides evidence that” |
| Preliminary (small sample, exploratory) | “raises the possibility,” “is consistent with” |
Overclaiming — stating a conclusion more strongly than the evidence warrants — is a reasoning error. Look for it in the sources you read and avoid it in your own work.
APPLICATION: Choose one of your key sources and complete a full argument analysis: identify the main conclusion, the types of evidence used, the reasoning connecting them, and assess whether the conclusion is proportionate. Write this up in your Journal. This is exactly the kind of critical analysis that earns high marks in the written report.
COMMON MISTAKE: Treating the discussion section of a research article as fact rather than inference. Discussion sections contain the author’s interpretations of the results — these are claims that can be contested, not established facts. Always distinguish between “the data showed…” and “the authors argue that the data suggests…”
