Final answer:
Measurement bias occurs when a researcher excludes data that does not align with a corporation's expectations, resulting in a misrepresentation of the study's findings through selection bias.
Step-by-step explanation:
An example of measurement bias is when a researcher is paid a substantial amount by a corporation to conduct a study and then chooses not to include results that do not align with the corporation's expectations. This is because the researcher's decision to exclude certain data can lead to a misrepresentation of the study's findings, which is a form of bias known as selection bias. This bias occurs when the method of choosing the sample or deciding what data to report causes the sample, or the reported findings, to be unrepresentative of the population being studied.