Book contents
- Frontmatter
- Dedication
- Contents
- List of figures
- List of tables
- List of boxes
- List of contributors
- Preface
- Part I Introduction
- 1 Defining hard-to-survey populations
- 2 Hard-to-survey populations in comparative perspective
- 3 Measuring undercounts for hard-to-survey groups
- 4 Counting and estimating hard-to-survey populations in the 2011 Census
- 5 A review of quality issues associated with studying hard-to-survey populations
- Part II Conducting surveys in difficult settings
- Part III Conducting surveys with special populations
- Part IV Sampling strategies for the hard to survey
- Part V Data collection strategies for the hard to survey
- Index
- References
5 - A review of quality issues associated with studying hard-to-survey populations
Published online by Cambridge University Press: 05 September 2014
- Frontmatter
- Dedication
- Contents
- List of figures
- List of tables
- List of boxes
- List of contributors
- Preface
- Part I Introduction
- 1 Defining hard-to-survey populations
- 2 Hard-to-survey populations in comparative perspective
- 3 Measuring undercounts for hard-to-survey groups
- 4 Counting and estimating hard-to-survey populations in the 2011 Census
- 5 A review of quality issues associated with studying hard-to-survey populations
- Part II Conducting surveys in difficult settings
- Part III Conducting surveys with special populations
- Part IV Sampling strategies for the hard to survey
- Part V Data collection strategies for the hard to survey
- Index
- References
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.)
- Type
- Chapter
- Information
- Hard-to-Survey Populations , pp. 82 - 108Publisher: Cambridge University PressPrint publication year: 2014
References
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