2017 McNair Scholars Program Summer Research Symposium

A Content Analysis on Surveying Refugee, Immigrant and Other Hard-to-Reach Populations

Presentation Type

Paper (Electronic Copy Not Available)

Keywords

Immigrants--Statistics; Household surveys;

Abstract

Abstract: Refugees, migrants and immigrants encounter an overwhelming amount of discrimination and bias, and as a result, some may go without basic needs. With over 22 million refugees and over 240 million migrants world-wide, research on these populations is becoming more prominent. The problem that many researchers face is how to gather accurate data from these populations. In order to combat this problem, there is a need to know how to best survey hard-to-reach populations to get high quality data. A content analysis of the European Union funded database Prominstat was conducted and analysis of published study results used to determine promising methods of data collection.

Start Date

4-8-2017 10:00 AM

End Date

4-8-2017 12:00 PM

Faculty Advisor

Jill Wittrock

Department

Department of Sociology, Anthropology, and Criminology

Department

McNair Scholars Program at UNI

File Format

application/pdf

Embargo Date

8-4-2017

Electronic copy is not available through UNI ScholarWorks.

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Aug 4th, 10:00 AM Aug 4th, 12:00 PM

A Content Analysis on Surveying Refugee, Immigrant and Other Hard-to-Reach Populations

Abstract: Refugees, migrants and immigrants encounter an overwhelming amount of discrimination and bias, and as a result, some may go without basic needs. With over 22 million refugees and over 240 million migrants world-wide, research on these populations is becoming more prominent. The problem that many researchers face is how to gather accurate data from these populations. In order to combat this problem, there is a need to know how to best survey hard-to-reach populations to get high quality data. A content analysis of the European Union funded database Prominstat was conducted and analysis of published study results used to determine promising methods of data collection.