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Wayne State University

Wayne State University Associated BioMed Central Scholarship

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Full-Text Articles in Social and Behavioral Sciences

Ethnic Differences In Medicinal Plant Use Among University Students: A Cross-Sectional Survey Of Self-Reported Medicinal Plant Use At Two Midwest Universities, Rachel Craft, Katrina C. Mcclure, Steven Corbett, Maria Pontes Ferreira, Ashley M. Stiffarm, Kelly Kindscher Jun 2015

Ethnic Differences In Medicinal Plant Use Among University Students: A Cross-Sectional Survey Of Self-Reported Medicinal Plant Use At Two Midwest Universities, Rachel Craft, Katrina C. Mcclure, Steven Corbett, Maria Pontes Ferreira, Ashley M. Stiffarm, Kelly Kindscher

Wayne State University Associated BioMed Central Scholarship

Background: Numerous surveys of medicinal plant use among college students abound, but none compare use between students enrolled in two different Universities with significantly different ethnic compositions. The objective of this study is to compare medicinal plant use between two different ethnic college populations and explore differences between student medicinal plant users and non-users for comparison with previous research.

Methods: Students (n = 721) at a large research university (n = 498) and a Pan-Tribal University for Native Americans (n = 233) completed surveys in October 2011 to assess past year medicinal plant use. The Mann-Whitney U test, Chi Square …


Choosing A Survey Sample When Data On The Population Are Limited: A Method Using Global Positioning Systems And Aerial And Satellite Photographs, Harry S. Shannon, Royce Hutson, Athena Kolbe, Bernadette Stringer, Ted Haines Jan 2012

Choosing A Survey Sample When Data On The Population Are Limited: A Method Using Global Positioning Systems And Aerial And Satellite Photographs, Harry S. Shannon, Royce Hutson, Athena Kolbe, Bernadette Stringer, Ted Haines

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Various methods have been proposed for sampling when data on the population are limited. However, these methods are often biased. We propose a new method to draw a population sample using Global Positioning Systems and aerial or satellite photographs.

Results

We randomly sampled Global Positioning System locations in designated areas. A circle was drawn around each location with radius representing 20 m. Buildings in the circle were identified from satellite photographs; one was randomly chosen. Interviewers selected one household from the building, and interviews were conducted with eligible household members.

Conclusions

Participants had known selection probabilities, allowing proper …