Sociological Methods & Research

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for more information

Sign In to gain access to subscriptions and/or personal tools.
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by van der HEIJDEN, P. G. M.
Right arrow Articles by HOX, J. J.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Sociological Methods & Research, Vol. 28, No. 4, 505-537 (2000)
DOI: 10.1177/0049124100028004005

A Comparison of Randomized Response, Computer-Assisted Self-Interview, and Face-to-Face Direct Questioning

Eliciting Sensitive Information in the Context of Welfare and Unemployment Benefit

PETER G. M. van der HEIJDEN

Utrecht University

GER van GILS

BeleidsOnderzoek en Advies

JAN BOUTS

Nederlands Instituut voor de Publieke Opinie en het Marktonderzoek

JOOP J. HOX

Utrecht University

This article assesses the validity of responses to sensitive questions using four different methods. In an experimental setting, the authors compared a computer-assisted self-interview (CASI), face-to-face direct questioning, and two different varieties of randomized response. All respondents interviewed had been identified as having committed welfare and unemployment benefit fraud. The interviewers did not know that respondents had been caught for fraud, and the respondents did not know that the researchers had this information. The results are evaluated by comparing the percentage of false negatives. The authors also looked for variables that might explain why some respondents admit fraud and others do not. The proportions of respondents admitting fraud are relatively low, between 19 percent and 49 percent. The two randomized response conditions were superior in eliciting admissions of fraud. A number of background variables, notably gender, age, still receiving benefit, and duration and perception of fraud, are related to admitting fraud. Although the randomized response conditions performed much better than face-to-face direct questioning and CASI, the percentage of respondents admitting fraud is only around 50 percent. Some possible reasons for this are discussed.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
Applied Psychological MeasurementHome page
J.-P. Fox and R. R. Meijer
Using Item Response Theory to Obtain Individual Information From Randomized Response Data: An Application Using Cheating Data
Applied Psychological Measurement, November 1, 2008; 32(8): 595 - 610.
[Abstract] [PDF]


Home page
Sociological Methods ResearchHome page
S. Himmelfarb
The Multi-Item Randomized Response Technique
Sociological Methods Research, May 1, 2008; 36(4): 495 - 514.
[Abstract] [PDF]


Home page
Sociological Methods ResearchHome page
M. J. L. F. Cruyff, A. van den Hout, P. G. M. van der Heijden, and U. Bockenholt
Log-Linear Randomized-Response Models Taking Self-Protective Response Behavior Into Account
Sociological Methods Research, November 1, 2007; 36(2): 266 - 282.
[Abstract] [PDF]


Home page
Sociological Methods ResearchHome page
D. Lara, S. G. Garcia, C. Ellertson, C. Camlin, and J. Suarez
The Measure of Induced Abortion Levels in Mexico Using Random Response Technique
Sociological Methods Research, November 1, 2006; 35(2): 279 - 301.
[Abstract] [PDF]


Home page
Sociological Methods ResearchHome page
G. J. L. M. Lensvelt-Mulders, J. J. Hox, P. G. M. van der Heijden, and C. J. M. Maas
Meta-Analysis of Randomized Response Research: Thirty-Five Years of Validation
Sociological Methods Research, February 1, 2005; 33(3): 319 - 348.
[Abstract] [PDF]


Home page
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICSHome page
J.-P. Fox
Randomized Item Response Theory Models
Journal of Educational and Behavioral Statistics, January 1, 2005; 30(2): 189 - 212.
[Abstract] [PDF]


Home page
Sociological Methods ResearchHome page
D. Lara, J. Strickler, C. D. Olavarrieta, and C. Ellertson
Measuring Induced Abortion in Mexico: A Comparison of Four Methodologies
Sociological Methods Research, May 1, 2004; 32(4): 529 - 558.
[Abstract] [PDF]


Home page
Sociological Methods ResearchHome page
A. van den Hout and P. G. M. van der Heijden
The Analysis of Multivariate Misclassified Data With Special Attention to Randomized Response Data
Sociological Methods Research, February 1, 2004; 32(3): 384 - 410.
[Abstract] [PDF]