TASC Student Directed Inquiry common mistakes
TASC Student Directed Inquiry · Understand the traps and how to avoid them.
Writing an inquiry question that can be answered with a yes/no or a single fact lookup (e.g., "Is social media bad for teenagers?") instead of a question requiring investigation and evidence synthesis.
Candidates default to debate-style or headline-style questions they have seen in essays, and they confuse a topic area with a researchable question; a yes/no question feels safer because it seems to have an obvious answer.
What to do instead
Before committing, apply a three-part test to each draft: does it require multiple sources, does it contain a variable or comparison, and could two reasonable people reach different answers? Rewrite closed questions into open forms ("How does...", "To what extent...", "What factors influence...") and keep a written log of rejected drafts with the reason each was rejected.
Leaving key terms in the inquiry question undefined, so the investigation later measures something different from what the question asks (e.g., "academic success" silently shifting from grades to test scores to motivation).
Candidates assume shared meaning and skip operationalisation because defining terms feels like busywork compared with collecting data; ambiguity also lets them avoid committing to a measurable construct.
What to do instead
Produce a short definitions table at the planning stage listing each contested term, the chosen definition, the source of that definition, and how it will be observed or measured. Revisit the table after data collection and check every instrument and analysis against it.
Treating the first page of search results as the literature, citing content farms, commercial blogs, or AI-generated summaries as if they were peer-reviewed evidence.
Time pressure plus familiarity with everyday search habits leads candidates to equate ranking with reliability; they rarely inspect author credentials, publication venue, or whether a source cites its own evidence.
What to do instead
Adopt a fixed source-screening routine: identify author and affiliation, check the publication type and date, look for a reference list, and trace one claim back to its primary source. Record the screening outcome for each source in a log so weak sources are visibly excluded rather than silently used.
Citing a secondary summary for a statistic or finding without checking the original study, and then misreporting the original's scope (sample, population, date, or method).
Secondary sources are easier to read and appear authoritative, and candidates lack confidence in reading primary methods sections, so they pass along numbers they cannot verify.
What to do instead
For every quantitative claim, locate the primary report and extract the exact figure, the population, the sample size, and the year into a citation table. If the primary source cannot be accessed, either drop the claim or label it explicitly as reported by a secondary source.
Designing an investigation with no comparison or control condition, so the data cannot distinguish the proposed explanation from alternatives.
Candidates focus on whether they can collect any data at all and underestimate how much a baseline or comparison group is needed to support a causal or even a comparative claim.
What to do instead
Before data collection, write out the intended claim and then list at least two rival explanations; add the comparison, baseline, or repeated-measures element that would rule each rival out. Have a peer read only the method and state what conclusion it could support.
Selecting a convenience sample (own class, club, or social media followers) and then generalising findings to a broad population in the conclusion.
Convenience samples are the only feasible option in a school setting, and candidates want their results to matter, so the sampling limitation quietly disappears between method and discussion.
What to do instead
State the target population, the achieved sample, and the sampling method explicitly, then write a standing limitations sentence naming who is over- or under-represented. In the conclusion, restrict claims to the sampled group and phrase any wider implication as a hypothesis for further study.
Presenting raw counts or percentages without denominators, or comparing percentages computed from different base sizes as if they were directly comparable.
Candidates compute the first summary that comes to mind and are unfamiliar with how base size changes the meaning of a percentage; small subgroups produce dramatic-looking figures that go unchallenged.
What to do instead
Report every figure as count over denominator with the percentage, and add the base n to every table or chart label. Before comparing groups, check whether subgroup sizes are large enough to justify the comparison, and note where they are not.
Reading causation into a correlation or into a before/after pattern with no comparison group, then building the argument on that causal claim.
Causal language is the natural way to describe a striking pattern, and candidates have not internalised the confounds (prior trends, self-selection, third variables) that undermine it.
What to do instead
Draft the results in neutral language first ("was associated with", "changed alongside") and only upgrade to causal wording if the design supports it. For each key finding, write one plausible alternative explanation and state whether the design rules it out.
Building an argument by stacking agreeing sources while ignoring or strawmanning the strongest counter-evidence.
Candidates treat the task as defending a position rather than testing one, and engaging with contrary evidence feels like weakening their own conclusion.
What to do instead
Deliberately search for the best opposing evidence using terms like limitations, critique, or null result, and give the strongest counter-argument its own paragraph with a direct response. Keep a tally of sources for and against so imbalance is visible before submission.
Delivering a presentation that reads slides aloud or narrates the chronology of the project, leaving the inquiry question, the key finding, and the strength of the evidence unclear to the audience.
Candidates equate coverage with communication and rehearse content order rather than audience understanding; unfamiliarity with question time leads to defensive or evasive answers.
What to do instead
Structure the presentation around question, finding, evidence strength, and limitation, with the headline conclusion stated in the first thirty seconds. Rehearse with a listener who must restate the main claim afterwards, and prepare a short evidence card for each anticipated challenge question.