Administrative error is an error resulting from improper administration or execution of a survey. Such errors can be caused by carelessness, confusion, neglect, omission or another blunder.[1]
Types
There are 4 types of administrative errors:
Data-processing error: A category of administrative error that occurs in
data processing because of incorrect data entry, incorrect
computer programming or other error during data analysis.
Sample selection error:
Selection bias: an administrative error caused by improper selection of a
sample during a
survey, resulting in accidental
bias in the results.
Interviewer error: This type of administrative error is caused by failure of an
interviewer to correctly pose questions or record responses. Interviewer error generally leads to biased results, and perhaps to an increase in variability.[2]
Interviewer cheating: The practice of filling in fake answers or falsifying
questionnaires while working as an interviewer.
References
^William G. Zikmund (2003), Business Research Methods, 7E.
ISBN0-03-035084-0.
^Scheaffer, Richard L. 1996. Section 5 of "Teaching Survey Sampling," by Ronald S. Fecso, William D. Kalsbeek,
Sharon L. Lohr, Richard L. Scheaffer, Fritz J. Scheuren, Elizabeth A. Stasny. The American Statistician 50:4 (Nov., 1996), pp 335-337.
Administrative error is an error resulting from improper administration or execution of a survey. Such errors can be caused by carelessness, confusion, neglect, omission or another blunder.[1]
Types
There are 4 types of administrative errors:
Data-processing error: A category of administrative error that occurs in
data processing because of incorrect data entry, incorrect
computer programming or other error during data analysis.
Sample selection error:
Selection bias: an administrative error caused by improper selection of a
sample during a
survey, resulting in accidental
bias in the results.
Interviewer error: This type of administrative error is caused by failure of an
interviewer to correctly pose questions or record responses. Interviewer error generally leads to biased results, and perhaps to an increase in variability.[2]
Interviewer cheating: The practice of filling in fake answers or falsifying
questionnaires while working as an interviewer.
References
^William G. Zikmund (2003), Business Research Methods, 7E.
ISBN0-03-035084-0.
^Scheaffer, Richard L. 1996. Section 5 of "Teaching Survey Sampling," by Ronald S. Fecso, William D. Kalsbeek,
Sharon L. Lohr, Richard L. Scheaffer, Fritz J. Scheuren, Elizabeth A. Stasny. The American Statistician 50:4 (Nov., 1996), pp 335-337.