Skip to main content Accessibility help

Who Is at Risk of What?

  • David Birnbaum (a1)


If you have calculated the sample size required for an employee survey or an observational study of departmental practices but found that the number of observations required is larger than the number of employees, chances are the error is due to use of approximation formulae. Many of us unknowingly were taught to use approximations that fail to include the finite population correction factor. Depending on the objective of a study and the proportion of a population sampled, it may be necessary to consider this correction factor in order to estimate standard error and sample size accurately.


Corresponding author

Applied Epidemiology, 609 Cromar Rd, RR1, Sidney, British Columbia V8L 5M5, Canada


Hide All
1. Cochrane, WG. Sampling Techniques. New York, NY: John Wiley & Sons; 1977.
2. Bird, FE Jr, Loftus, RG. Lo$$ Control Management. Loganville, GA: Institute Press; 1976.
3. Zikmund, WG. Business Research Methods. 5th ed. Fort Worth, TX: Dryden Press; 1997.

Related content

Powered by UNSILO

Who Is at Risk of What?

  • David Birnbaum (a1)


Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed.