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This deck focuses on Evaluate Evidence Adequacy, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Cars.
Study Evaluate Evidence Adequacy in MCAT Cars with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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Identify the evidence flaw: "The program helped in one city; therefore it will work everywhere."
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Contextual mismatch; overextending beyond the evidence. Success in one context does not ensure applicability elsewhere due to varying conditions.
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This deck focuses on Evaluate Evidence Adequacy, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Cars.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: Contextual mismatch; overextending beyond the evidence. Success in one context does not ensure applicability elsewhere due to varying conditions.
Answer: Anecdotal evidence causing a hasty generalization. A single case lacks representativeness, leading to overgeneralization about the course's quality.
Answer: Cherry-picking (selective evidence). Selective presentation distorts the full picture by omitting contradictory data, undermining adequacy.
Answer: Causal fallacy (correlation does not establish causation). Correlation alone cannot prove causation due to potential confounders or alternative explanations.
Answer: Unwarranted appeal to authority. Appeals to authority require independent verification, as expertise alone does not guarantee accuracy.
Answer: Unwarranted appeal to authority as sufficient evidence. Relying solely on authority bypasses the need for empirical data to substantiate the claim.
Answer: Sampling bias (unrepresentative sample). Unrepresentative subgroups skew results, preventing accurate extrapolation to the larger population.
Answer: Does the evidence reflect the broader population or typical cases. Representativeness checks ensure evidence reflects the full population, avoiding bias in generalizations.
Answer: Overgeneralization or overstatement of the conclusion. Conclusions exceeding evidence scope commit overgeneralization, as support is limited to narrower claims.
Answer: Does this evidence directly bear on the specific claim at issue. Relevance testing confirms evidence addresses the precise claim rather than tangential issues.
Answer: Failure to rule out plausible alternative explanations. Ignoring alternatives weakens evidence adequacy, as unaddressed causes could equally explain the data.
Answer: Hasty generalization from an insufficient sample. Small samples do not provide sufficient data to justify broad generalizations, leading to unreliable conclusions.
Answer: Causal inference from correlation without ruling out confounders. Mere correlation fails to establish causation without controlling for other influencing variables.
Answer: Is there enough evidence to justify the conclusion to the needed degree. Sufficiency assessment verifies evidence meets the threshold needed to reasonably support the conclusion's strength.
Answer: Contextual mismatch (external validity problem). Differences in context limit external validity, making evidence inadequate for claims in new settings.
Answer: Cherry-picking; ignoring counterevidence. Selecting only favorable data ignores the full evidence base, biasing the reliability assessment.
Answer: A third variable that influences both the supposed cause and effect. Confounders undermine causal claims by offering alternative explanations for observed associations.
Answer: Sampling bias; the sample is not representative. Surveying a biased group distorts results, as it does not reflect the broader public's views.
Answer: It relies on one or a few personal cases as proof of a general claim. Anecdotal evidence lacks breadth and representativeness, failing to support broader claims adequately.
Answer: Credibility problem due to conflict of interest or bias. Biased sources compromise reliability, as incentives may lead to distorted or incomplete evidence.
Answer: A controlled comparison that addresses confounders. Controlled designs better isolate causes by minimizing confounders, strengthening causal evidence.
Answer: It is relevant, sufficient, and logically supports the conclusion. Adequacy ensures evidence directly pertains to the claim, provides enough support, and logically justifies the conclusion without gaps.
Answer: Multiple representative studies. Multiple studies offer greater representativeness and reliability for supporting broad generalizations.
Answer: Temporal mismatch; evidence lacks current applicability. Outdated evidence may not reflect current conditions, reducing its relevance and applicability.
Answer: Hasty generalization from an unrepresentative anecdote. One personal success does not provide sufficient, representative data for universal efficacy claims.