The hypothesized population parameter value can be determined using either a percentage or a mean. The comparison of the sample statistic with what is believed to be the population value prior to undertaking the study is called inference testing.

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When a researcher encounters data quality issues, there are several options. Of the following choice C is NOT one of the options in addressing data quality issues:

A) Throw out the respondent's entire data row.

B) Leave the respondent's entire data row in the dataset.

C) Leave the respondent's data row but correct the answers.

D) Set the bad data items to blanks or missing data

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False

The first general type of possible error in field data collection is fieldworker error, defined as errors committed by the individuals who administer questionnaires, typically interviewers. Respondent errors can occur regardless of the method of data collection, but some data collection methods have greater potential for respondent error than others.

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An unintentional interviewer error occurs whenever an interviewer commits an error while believing that he or she is performing correctly. Interviewer cheating and interviewer leading are categorized as unintentional errors because professional interviewers are trained to avoid them, so if they commit such errors, they are usually not aware of their violations.

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Nonresponse has been labeled the marketing research industry's biggest problem, and it is multinational in scope. Tactics such as anonymity, confidentiality, validation checks, and third-person technique have been used minimize respondent error but have been found to have the opposite effect.

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False