If a researcher selects a sample of 1000 managers and polls them about their workload, the managers with high workload, the managers with a high workload may not answer the survey because they didn't have enough time to answer it. This is one example of:

a) low internal validity
b)nonresponse bias
c)sampling error
d)novelty effects

b)nonresponse bias

Explanation:

Non-Response bias affects the interpretation and results by having fundamental difference by the responders and Non-responders. In these studies, we cannot interpret the correct data results because the concerned group is not evaluated. For example, If you are conducting a research of the effects of the Alcohol, you cannot interpret the result if Alcoholic persons do not participate.