Education in the Health Professions

METHODOLOGY
Year
: 2019  |  Volume : 2  |  Issue : 1  |  Page : 48--50

Survey research methods: A guide for creating post-stratification weights to correct for sample bias


Kenneth D Royal 
 Department of Clinical Sciences, North Carolina State University, Raleigh, North Carolina, USA

Correspondence Address:
Dr. Kenneth D Royal
Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
USA

Nonrepresentative data pose one of the greatest validity threats in survey research. Samples that are underrepresented and/or overrepresented based on demographic subgroups can introduce bias that distorts both the accuracy and the inferences made about the results. This article discusses the concept of poststratification weighting, a post hoc statistical procedure used to correct for sampling bias in survey research studies. Procedural steps for calculating poststratification weights are presented, and an example involving a simulated cohort of students in a medical school is provided for demonstration purposes. SPSS statistical software coding is presented to help researchers get started with their own calculations of poststratification weights.


How to cite this article:
Royal KD. Survey research methods: A guide for creating post-stratification weights to correct for sample bias.Educ Health Prof 2019;2:48-50


How to cite this URL:
Royal KD. Survey research methods: A guide for creating post-stratification weights to correct for sample bias. Educ Health Prof [serial online] 2019 [cited 2023 Feb 4 ];2:48-50
Available from: https://www.ehpjournal.com/article.asp?issn=2590-1761;year=2019;volume=2;issue=1;spage=48;epage=50;aulast=Royal;type=0