METHODS OF DATA COLLECTION
PROBABILITY AND NON PROBABILITY SAMPLES
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Bias resulting when non-probability sample is drawn.
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Bias resulting from the inappropriate designation of eligibility criteria.
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Bias resulting from the use of probability sampling method.
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Bias resulting from over-representation or under-representation of population segments in a sample.
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Detailed explanation-1: -Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others. It is also called ascertainment bias in medical fields. Sampling bias limits the generalizability of findings because it is a threat to external validity, specifically population validity.
Detailed explanation-2: -The design of a study is biased if it systematically favors certain outcomes. Undercoverage occurs when some groups in the population are left out of the process of choosing the sample.
Detailed explanation-3: -Undercoverage bias happens when you inadequately represent some members of your population in the sample. One of the classic examples of undercoverage bias is the popular Literary Digest survey, predicting that Mr. Alfred Landon would defeat Mr. Franklin Roosevelt in the crucial presidential election of 1936.