Handbook of Survey Methodology for the Social Sciences

  • Lior Gideon

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Lior Gideon
    Pages 3-6
  3. Ineke Stoop, Eric Harrison
    Pages 7-21
  4. Robert W. Oldendick
    Pages 23-35
  5. Mary Hibberts, R. Burke Johnson, Kenneth Hudson
    Pages 53-74
  6. Loretta J. Stalans
    Pages 75-90
  7. Lior Gideon
    Pages 91-107
  8. Lior Gideon, Peter Moskos
    Pages 109-118
  9. Ineke Stoop
    Pages 121-147
  10. Jaak Billiet, Hideko Matsuo
    Pages 149-178
  11. Gerald Albaum, Scott M. Smith
    Pages 179-193
  12. Vera Toepoel
    Pages 209-223
  13. W. Lawrence Neuman
    Pages 227-248
  14. Ineke Stoop, Eric Harrison
    Pages 249-276
  15. Vasja Vehovar, Ana Slavec, Nejc Berzelak
    Pages 277-295
  16. Alana Henninger, Hung-En Sung
    Pages 297-311
  17. Gustavo Mesch
    Pages 313-325
  18. Amber N. Manzo, Jennifer M. Burke
    Pages 327-343
  19. Daniel L. Oberski
    Pages 477-498
  20. Patrick Hyland, Orly Dotan-Eliaz
    Pages 499-516
  21. Back Matter
    Pages 517-520

About this book


Surveys enjoy great ubiquity among data collection methods in social research: they are flexible in questioning techniques, in the amount of questions asked, in the topics covered, and in the various ways of interactions with respondents. Surveys are also the preferred method of many researchers in the social sciences due to their ability to provide quick profiles and results. Because they are so commonly used and fairly easy to administer, surveys are often thought to be easily thrown together. But designing an effective survey that yields reliable and valid results takes more than merely asking questions and waiting for the answers to arrive.

Geared to the non-statistician, the Handbook of Survey Methodology for the Social Sciences addresses issues throughout all phases of survey design and implementation. Chapters examine the major survey methods of data collection, and provide expert guidelines for asking targeted questions, and for improving accuracy and quality of responses while reducing sampling and non-sampling bias. Relying on the Total Survey Error theory, various issues of both sampling and non-sampling sources of error are explored and discussed. By covering all aspects of the topic, the Handbook is suited to readers taking their first steps in survey methodology, as well as to those already involved in survey design and execution, and to those currently in training.

Featured in the Handbook:

  • The Total Survey Error: sampling and non-sampling errors.
  • Survey sampling techniques.
  • The art of question phrasing.
  • Techniques for increasing response rates
  • A question of ethics: what is allowed in survey research?
  • Survey design: face-to-face, phone, mail, e-mail, online, computer-assisted.
  • Dealing with sensitive issues in surveys.
  • Demographics of respondents: implications for future survey research.
  • Dealing with nonresponse, and nonresponse bias
Handbook of Survey Methodology for the Social Sciences offers how-to clarity for researchers in the social and behavioral sciences and related disciplines, including sociology, criminology, criminal justice, social psychology, education, public health, political science, management, and many other disciplines relying on survey methodology as one of their main data collection tools.


Computer Assisted Surveys Data Analysis Response Rates Survey Design Survey Methodology demographics of survey respondents self selection bias survey ethics survey question phrasing survey response error web based survey design

Editors and affiliations

  • Lior Gideon
    • 1
  1. 1.John Jay College of Criminal JusticeCity University of New YorkNew YorkUSA

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