Why is the response rate on surveys important for statistical inference?
What will be an ideal response?
Survey research methods offer good inferential power with known populations, but when a survey falls short of full participation, the inferential value of the method is threatened. If the response rate is low, either because individuals cannot be reached or because they refuse to participate, the researchers’ ability to make statistical inferences for the population being studied may be limited. Also, those who do participate may differ systematically from those who do not, creating other biases. Increasing the size of the survey sample to compensate for low response rates may only increase costs without alleviating the problem.
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Data snooping is
A) referring to data or research that has not been published. B) changing the hypothesis of a study after the data have been collected and analyzed. C) used most often in large scale, lower-constraint research when clues to potential relationships between variables may be buried in the mass of data. D) used to control confounding variables in experimental research.
When Thomas Jefferson took power after being in the minority,
a. he stressed the importance of majority restraint. b. he had to convince the military to follow him as commander in chief. c. he took revenge on the outgoing majority. d. he sought to limit the role of the citizens in the electoral process. e. he encouraged the establishment of a two party electoral system.