Premium
SELF‐SAMPLING: A UNIQUE AND EFFECTIVE MEASUREMENT TECHNIQUE IN HIGHER EDUCATION
Author(s) -
Lorents Alden C.,
Andrew Gary M.
Publication year - 1981
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1981.tb00086.x
Subject(s) - sampling (signal processing) , categorization , estimator , statistics , sampling design , population , work (physics) , computer science , probability sampling , mathematics , sociology , engineering , artificial intelligence , demography , mechanical engineering , filter (signal processing) , computer vision
Self‐sampling, which is similar to work sampling, is a measurement technique where participants categorize their own activities. The ratio of observations in an activity category to the total observations provides an estimator of the population proportion of time spent on that category of activity. This paper summarizes how self‐sampling works and describes an example involving business school faculty.