|
Sign In to gain access to subscriptions and/or personal tools.
|
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.
Sociological Methods & Research, Vol. 28, No. 4,
505-537 (2000)
DOI: 10.1177/0049124100028004005

CiteULike Complore Connotea Del.icio.us Digg Reddit Technorati Twitter What's this?
This article has been cited by other articles:

|
 |

|
 |
 
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]
|
 |
|

|
 |

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

|
 |

|
 |
 
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]
|
 |
|

|
 |

|
 |
 
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]
|
 |
|

|
 |

|
 |
 
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]
|
 |
|

|
 |

|
 |
 
J.-P. Fox
Randomized Item Response Theory Models
Journal of Educational and Behavioral Statistics,
January 1, 2005;
30(2):
189 - 212.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
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]
|
 |
|

|
 |

|
 |
 
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]
|
 |
|
|
|