Validity refers to:
A) the quality of consistency in measurement.
B) the extent to which the researcher measured what she had planned to measure.
C) the manner in which the researcher has operationalizing variables.
D) the sum of independent and dependent variables.
E) the lack of researcher bias which can be demonstrated statistically.

Question

Quizplus · Accepted Answer

Validity refers specifically to whether the researcher is measuring what she had intended to measure. Consistency in measurement is related to reliability (choice A). Operationalizing variables (choice C) is important but is not the same as validity. The sum of independent and dependent variables (choice D) is not related to validity. While lack of bias (choice E) is important, it is not the definition of validity. Validity is the extent to which a study measures what it is supposed to measure. It refers to how accurately the researcher operationalizes and measures the constructs of interest in their study. In other words, it is the degree to which a test or measurement accurately measures what it is intended to measure. Choice A, C, D, and E are not correct because they do not accurately reflect the meaning of validity.

Validity Refers To