Modeling evasive response bias in randomized response: cheater detection versus self-protective no-saying
Modeling evasive response bias in randomized response: cheater detection versus self-protective no-saying
Randomized response is an interview technique for sensitive questions designed to eliminate evasive response bias. Since this elimination is only partially successful, two models have been proposed for modeling evasive response bias: the cheater detection model for a design with two sub-samples with different randomization probabilities and the self-protective no sayers model for a design with multiple sensitive questions. This paper shows the correspondence between these models, and introduces models for the new, hybrid “ever/last year” design that account for self-protective no saying and cheating. The model for one set of ever/last year questions has a degree of freedom that can be used for the inclusion of a response bias parameter. Models with multiple degrees of freedom are introduced for extensions of the design with a third randomized response question and a second set of ever/last year questions. The models are illustrated with two surveys on doping use. We conclude with a discussion of the pros and cons of the ever/last year design and its potential for future research.
anabolics, doping, ever/last year, sensitive questions
1261-1279
Sayed, Khadiga H.A.
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Cruyff, Maarten J.L.F.
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Van Der Heijden, Peter G.M.
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Sayed, Khadiga H.A.
9f0ba98e-f5a6-41c1-8e29-9ef779803ff9
Cruyff, Maarten J.L.F.
7efbafcd-7831-48b4-bbea-9d95709b1235
Van Der Heijden, Peter G.M.
85157917-3b33-4683-81be-713f987fd612
Sayed, Khadiga H.A., Cruyff, Maarten J.L.F. and Van Der Heijden, Peter G.M.
(2024)
Modeling evasive response bias in randomized response: cheater detection versus self-protective no-saying.
Psychometrika, 89 (4), .
(doi:10.1007/s11336-024-10000-x).
Abstract
Randomized response is an interview technique for sensitive questions designed to eliminate evasive response bias. Since this elimination is only partially successful, two models have been proposed for modeling evasive response bias: the cheater detection model for a design with two sub-samples with different randomization probabilities and the self-protective no sayers model for a design with multiple sensitive questions. This paper shows the correspondence between these models, and introduces models for the new, hybrid “ever/last year” design that account for self-protective no saying and cheating. The model for one set of ever/last year questions has a degree of freedom that can be used for the inclusion of a response bias parameter. Models with multiple degrees of freedom are introduced for extensions of the design with a third randomized response question and a second set of ever/last year questions. The models are illustrated with two surveys on doping use. We conclude with a discussion of the pros and cons of the ever/last year design and its potential for future research.
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s11336-024-10000-x
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Accepted/In Press date: 16 August 2024
e-pub ahead of print date: 30 August 2024
Keywords:
anabolics, doping, ever/last year, sensitive questions
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Local EPrints ID: 494586
URI: http://eprints.soton.ac.uk/id/eprint/494586
ISSN: 0033-3123
PURE UUID: 773b25a7-2b88-4d04-8bda-a0604b00a9f9
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Date deposited: 10 Oct 2024 16:53
Last modified: 30 Nov 2024 02:48
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Author:
Khadiga H.A. Sayed
Author:
Maarten J.L.F. Cruyff
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