A professor chooses the 20 students in his class whom he thinks will most likely return his ques

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A professor chooses the 20 students in his class whom he...

Key Concepts

Nonprobability Sampling

This concept refers to sampling methods where not all members of the population have a known or equal chance of being included. The professor's deliberate selection of students based on his judgment is a nonrandom process, meaning the resulting sample may not accurately represent the entire class.

Judgment (Purposive) Sampling

Judgment or purposive sampling involves selecting individuals based on specific characteristics or qualities deemed relevant by the researcher. In this scenario, the professor chooses the students he believes are most likely to respond to his questionnaire, using his own criteria rather than random selection.

Selection Bias

Selection bias occurs when the method of sampling leads to a sample that is not representative of the population intended to be analyzed. By choosing students he expects to return the questionnaire, the professor introduces a systematic error that may skew the results, as these students may differ in important ways from those not selected.

Representativeness

Representativeness concerns whether a sample accurately reflects the characteristics of the larger population. When samples are chosen based on subjective criteria like likelihood of response, as in this case, there is a risk that the sample will not be a true representation of the overall class, potentially affecting the validity of any conclusions drawn from the data.

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