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5 - A review of quality issues associated with studying hard-to-survey populations

Published online by Cambridge University Press:  05 September 2014

Lars Lyberg
Affiliation:
Stockholm University
Mathew Stange
Affiliation:
University of Nebraska–Lincoln
Janet Harkness
Affiliation:
University of Nebraska–Lincoln
Peter Mohler
Affiliation:
University of Mannheim
Beth-Ellen Pennell
Affiliation:
University of Michigan
Lilli Japec
Affiliation:
Statistics Sweden
Roger Tourangeau
Affiliation:
Westat Research Organisation, Maryland
Brad Edwards
Affiliation:
Westat Research Organisation, Maryland
Timothy P. Johnson
Affiliation:
University of Illinois, Chicago
Kirk M. Wolter
Affiliation:
University of Chicago
Nancy Bates
Affiliation:
US Census Bureau
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Summary

Introduction

Some populations/groups are defined as hard to survey (H2S) in the research literature because of difficulty sampling the population, accessing the population, contacting members of the population, persuading them to participate, and interviewing group members (see Tourangeau, Chapter 1 in this volume). Reviewing the literature on populations referred to as “hard to survey” indicates the types of studies undertaken with these populations, the survey error challenges, and the methodological solutions used by researchers who study such populations. The H2S literature, however, does have limitations and research gaps exist.

The problems that complicate obtaining high-quality data from H2S populations are diverse and often interrelated. This review uses a quality assurance and quality control framework to discuss the total survey error associated with H2S studies. The discussion is based on an extensive systematic review of the quantitative and qualitative literature related to H2S, as well as our own experiences surveying these populations. (For a discussion and definition of kinds of H2S populations and the characteristics that earn them the H2S label, see Chapter 1 in this volume.)

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Publisher: Cambridge University Press
Print publication year: 2014

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