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Zorluk: OrtaSampling and Survey Flaws

An argument that draws a general conclusion about the effectiveness of a new teaching method by studying only schools that volunteered to implement the method avoids sampling bias as long as the sample size is sufficiently large.

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False
The statement is false because self-selection bias cannot be cured merely by increasing the sample size. If a sample is fundamentally unrepresentative due to how it was gathered, gathering more data using the exact same flawed method will only result in a larger, but equally biased, sample.

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1
Analyze the sampling methodology described in the argument's premise.
The sample consists exclusively of schools that 'volunteered' to implement the new method.
Identifying exactly how a sample is selected is the critical first step in evaluating its representativeness.
2
Evaluate the relationship between volunteer status and potential bias.
Voluntary samples often exhibit systematic differences from the general population, a flaw known as self-selection bias.
Volunteers may be more motivated, better funded, or more open to change than the average school, skewing any results.
3
Determine the impact of sample size on this specific selection bias.
A sufficiently large sample size does not eliminate or mitigate the bias introduced by a flawed, non-random selection process.
A large unrepresentative sample simply provides a more precise estimate of an inherently biased result.

Anahtar Kavram

Sample Size vs. Sample Representativeness
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Sampling and Survey Flaws

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