Cause and Effect Relationships - MCAT CARS
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Which option best describes a bidirectional causal relationship between two variables?
Which option best describes a bidirectional causal relationship between two variables?
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Each variable influences the other in a feedback loop. Mutual influence creates a cycle where each factor affects and is affected by the other.
Each variable influences the other in a feedback loop. Mutual influence creates a cycle where each factor affects and is affected by the other.
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Identify the causal structure in: "Stress leads to insomnia, which then impairs memory."
Identify the causal structure in: "Stress leads to insomnia, which then impairs memory."
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Causal chain with mediator: stress → insomnia → impaired memory. This setup links initial cause to outcome via an intermediate step in a sequential process.
Causal chain with mediator: stress → insomnia → impaired memory. This setup links initial cause to outcome via an intermediate step in a sequential process.
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What is a necessary cause (necessary condition) in cause-and-effect reasoning?
What is a necessary cause (necessary condition) in cause-and-effect reasoning?
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A factor that must be present for the effect to occur. Without this factor, the effect cannot happen, establishing it as a prerequisite in causal logic.
A factor that must be present for the effect to occur. Without this factor, the effect cannot happen, establishing it as a prerequisite in causal logic.
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What is a sufficient cause (sufficient condition) in cause-and-effect reasoning?
What is a sufficient cause (sufficient condition) in cause-and-effect reasoning?
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A factor that, if present, guarantees the effect occurs. Its presence alone ensures the effect, distinguishing it from factors that merely contribute.
A factor that, if present, guarantees the effect occurs. Its presence alone ensures the effect, distinguishing it from factors that merely contribute.
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Which option best describes a contributing cause in an argument?
Which option best describes a contributing cause in an argument?
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A factor that increases likelihood or magnitude of an effect. It enhances the probability or intensity of the outcome but is not solely responsible.
A factor that increases likelihood or magnitude of an effect. It enhances the probability or intensity of the outcome but is not solely responsible.
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What is a confounder in a causal claim?
What is a confounder in a causal claim?
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A third variable causing both the presumed cause and effect. This external factor creates a spurious link by independently influencing both variables.
A third variable causing both the presumed cause and effect. This external factor creates a spurious link by independently influencing both variables.
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What is reverse causation in an argument that links two variables?
What is reverse causation in an argument that links two variables?
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The alleged effect actually causes the alleged cause. It reverses the assumed direction, where the supposed outcome actually drives the presumed trigger.
The alleged effect actually causes the alleged cause. It reverses the assumed direction, where the supposed outcome actually drives the presumed trigger.
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What is the post hoc ergo propter hoc fallacy in causal reasoning?
What is the post hoc ergo propter hoc fallacy in causal reasoning?
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Inferring causation solely because one event follows another. This fallacy assumes temporal sequence implies causality without further evidence.
Inferring causation solely because one event follows another. This fallacy assumes temporal sequence implies causality without further evidence.
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What is the fallacy of confusing necessary and sufficient conditions?
What is the fallacy of confusing necessary and sufficient conditions?
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Treating a necessary condition as sufficient, or vice versa. It errs by equating required conditions with those adequate to produce the result.
Treating a necessary condition as sufficient, or vice versa. It errs by equating required conditions with those adequate to produce the result.
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What is a causal chain in an argument, and what does it imply?
What is a causal chain in an argument, and what does it imply?
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A causes B causes C; intermediate steps mediate the final effect. This structure shows sequential causation, where initial events trigger subsequent ones leading to the end result.
A causes B causes C; intermediate steps mediate the final effect. This structure shows sequential causation, where initial events trigger subsequent ones leading to the end result.
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What is a mediator variable in a causal explanation?
What is a mediator variable in a causal explanation?
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A variable through which the cause produces the effect. It serves as the intermediate mechanism explaining how the cause leads to the effect.
A variable through which the cause produces the effect. It serves as the intermediate mechanism explaining how the cause leads to the effect.
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What is a moderator variable in a causal claim?
What is a moderator variable in a causal claim?
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A variable that changes the strength or direction of an effect. It alters the causal relationship's strength or nature under different conditions.
A variable that changes the strength or direction of an effect. It alters the causal relationship's strength or nature under different conditions.
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What is the key evidence feature of a causal claim versus a descriptive claim?
What is the key evidence feature of a causal claim versus a descriptive claim?
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Causal claims require a mechanism or ruling out alternatives. Unlike descriptive claims, causal ones need mechanisms or exclusion of confounders to substantiate the link.
Causal claims require a mechanism or ruling out alternatives. Unlike descriptive claims, causal ones need mechanisms or exclusion of confounders to substantiate the link.
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What is the difference between correlation and causation in a CARS argument?
What is the difference between correlation and causation in a CARS argument?
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Correlation is association; causation is a producing relationship. Correlation merely shows variables covary, while causation requires evidence that one directly influences the other.
Correlation is association; causation is a producing relationship. Correlation merely shows variables covary, while causation requires evidence that one directly influences the other.
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Which word most strongly signals a cause-and-effect relationship: however, because, similarly?
Which word most strongly signals a cause-and-effect relationship: however, because, similarly?
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Because. This term explicitly introduces a reason or cause for the stated effect.
Because. This term explicitly introduces a reason or cause for the stated effect.
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Which phrase most strongly signals an effect rather than a cause: due to, leads to, given that?
Which phrase most strongly signals an effect rather than a cause: due to, leads to, given that?
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Leads to. This phrase indicates the consequence following from a preceding cause.
Leads to. This phrase indicates the consequence following from a preceding cause.
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Identify the causal direction in: "Increased taxes reduced cigarette use."
Identify the causal direction in: "Increased taxes reduced cigarette use."
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Cause: increased taxes; effect: reduced cigarette use. Sentence structure positions taxes as the influencing factor resulting in decreased usage.
Cause: increased taxes; effect: reduced cigarette use. Sentence structure positions taxes as the influencing factor resulting in decreased usage.
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Identify the causal direction in: "Because screens emit light, sleep quality declines."
Identify the causal direction in: "Because screens emit light, sleep quality declines."
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Cause: screen light; effect: sleep quality declines. The 'because' clause denotes the causal factor, with the main clause as the resulting outcome.
Cause: screen light; effect: sleep quality declines. The 'because' clause denotes the causal factor, with the main clause as the resulting outcome.
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Which option is the best alternative explanation to test: "Ice cream sales cause drownings"?
Which option is the best alternative explanation to test: "Ice cream sales cause drownings"?
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Hot weather (season) increases both ice cream sales and swimming. It proposes a confounder that simultaneously drives both variables, undermining direct causation.
Hot weather (season) increases both ice cream sales and swimming. It proposes a confounder that simultaneously drives both variables, undermining direct causation.
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Which option best weakens: "New curriculum caused higher scores" when adopted with more funding?
Which option best weakens: "New curriculum caused higher scores" when adopted with more funding?
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Increased funding (resources) could explain the higher scores. This introduces an alternative cause that could account for the observed improvement independently.
Increased funding (resources) could explain the higher scores. This introduces an alternative cause that could account for the observed improvement independently.
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Which option best supports causation over correlation: random assignment, anecdote, expert opinion?
Which option best supports causation over correlation: random assignment, anecdote, expert opinion?
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Random assignment. It helps isolate the causal variable by balancing confounders across experimental groups.
Random assignment. It helps isolate the causal variable by balancing confounders across experimental groups.
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Identify the flaw: "After the mayor took office, crime rose; therefore the mayor caused crime."
Identify the flaw: "After the mayor took office, crime rose; therefore the mayor caused crime."
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Post hoc fallacy (timing alone does not establish causation). The argument relies solely on temporal order without evidence of a causal mechanism.
Post hoc fallacy (timing alone does not establish causation). The argument relies solely on temporal order without evidence of a causal mechanism.
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Identify the flaw: "Studying is necessary for success, so studying guarantees success."
Identify the flaw: "Studying is necessary for success, so studying guarantees success."
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Confusing necessary with sufficient conditions. It mistakenly treats a required action as one that ensures the desired outcome.
Confusing necessary with sufficient conditions. It mistakenly treats a required action as one that ensures the desired outcome.
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Which option is the most direct way to test for reverse causation in an observed association?
Which option is the most direct way to test for reverse causation in an observed association?
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Establish temporal order: show the cause precedes the effect. Confirming chronology distinguishes true direction from reversed causal assumptions.
Establish temporal order: show the cause precedes the effect. Confirming chronology distinguishes true direction from reversed causal assumptions.
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Which option best strengthens: "Policy X reduced pollution" given a stable economy and weather?
Which option best strengthens: "Policy X reduced pollution" given a stable economy and weather?
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A control comparison showing pollution fell only where Policy X applied. Comparing treated and untreated areas isolates the policy's impact from external influences.
A control comparison showing pollution fell only where Policy X applied. Comparing treated and untreated areas isolates the policy's impact from external influences.
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