The reasons a researcher might see a difference between the measured value of a variable and the true value of the variable include all of the following except
A) short-term characteristics of the respondent such as mood, health, stress, and fatigue
B) situations factors in the environment
C) measuring instrument factors such as difficulty level of questions being used
D) error in selecting the sample

Question

Quizplus · Accepted Answer

While short-term characteristics of the respondent, situational factors, and measuring instrument factors can all contribute to differences between the measured value and true value of a variable, error in selecting the sample does not directly impact the measurement of the variable itself. It may, however, affect the generalizability of the findings to the larger population.

The Reasons a Researcher Might See a Difference Between the Measured