Related Experiment Video
Updated: Jun 27, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
Optimum survey methods when interviewing employed women
Kari Dunning1, Grace K LeMasters
1Department of Rehabilitation, University of Cincinnati College of Allied Health, Cincinnati, Ohio. kari.dunning@uc.edu
Background:
While survey studies have examined bias much is unknown regarding specific subpopulations, especially women workers.
Methods:
A population based phone, Internet, and mail survey of workplace falls during pregnancy was undertaken. Participation by industry and occupation and survey approach and bias, reliability, and incomplete data were examined.
Results:
Of the 3,997 women surveyed, 71% were employed during their pregnancy. Internet responders were most likely to be employed while pregnant and to report a workplace fall at 8.8% compared to 5.8% and 6.1% for mail and phone respondents. Internet responders had the most missing employment data with company name missing for 17.9% compared to 1.3% for phone responders. Mail surveys were best for recruiting those employed in eight of nine industries, and this was especially true for service occupations.
Conclusions:
To decrease bias and increase participation, mixed approaches may be useful with particular attention for collecting occupational data. Am. J. Ind. Med. 52:105-112, 2009. (c) 2008 Wiley-Liss, Inc.
Related Concept Videos
Surveys
Data Collection by Survey
Types of Surveys
Convenience Sampling Method
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Measures of Central Tendency
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...