Measurement error is often a more serious threat to survey accuracy than is random error.

Question

Quizplus · Accepted Answer

Measurement error refers to systematic errors in the survey data, which can be introduced by various factors such as biased sampling, poorly worded questions, and interviewer effects. Unlike random error, which can be reduced by increasing the sample size, measurement error cannot be easily corrected and can lead to biased survey results. Therefore, measurement error is often considered a more serious threat to survey accuracy than random error.

Measurement Error Is Often a More Serious Threat to Survey