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Do randomized-response designs eliminate response biases? : an empirical study of non-compliance behavior
Böckenholt, Ulf; Barlas, Sema; Heijden, Peter G. van der - In: Journal of applied econometrics 24 (2009) 3, pp. 377-392
Persistent link: https://www.econbiz.de/10003825023
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Do randomized‐response designs eliminate response biases? An empirical study of non‐compliance behavior
Böckenholt, Ulf; Barlas, Sema; Heijden, Peter G. M. van der - In: Journal of Applied Econometrics 24 (2009) 3, pp. 377-392
Persistent link: https://www.econbiz.de/10010962229
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Do randomized-response designs eliminate response biases? An empirical study of non-compliance behavior
Böckenholt, Ulf; Barlas, Sema; van der Heijden, Peter G.M. - In: Journal of applied econometrics 24 (2009) 3, pp. 377-392
Persistent link: https://www.econbiz.de/10008225606
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Estimating the prevalence of sensitive behaviour and cheating with a dual design for direct questioning and randomized response
Hout, Ardo van den; Böckenholt, Ulf; Heijden, Peter G. … - In: Journal of the Royal Statistical Society Series C 59 (2010) 4, pp. 723-736
Randomized response is a misclassification design to estimate the prevalence of sensitive behaviour. Respondents who do not follow the instructions of the design are considered to be cheating. A mixture model is proposed to estimate the prevalence of sensitive behaviour and cheating in the case...
Persistent link: https://www.econbiz.de/10008671183
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Log-Linear Randomized-Response Models Taking Self-Protective Response Behavior Into Account
Cruyff, Maarten J. L. F.; Hout, Ardo van den; Heijden, … - In: Sociological Methods & Research 36 (2007) 2, pp. 266-282
Randomized response (RR) is an interview technique designed to eliminate response bias when sensitive questions are asked. In RR the answer depends partly on the true status of the respondent and partly on the outcome of a randomizing device. Although RR elicits more honest answers than direct...
Persistent link: https://www.econbiz.de/10011136777
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When choices give in to temptations: Explaining the disagreement among importance measures
Barlas, Sema - In: Organizational Behavior and Human Decision Processes 91 (2003) 2, pp. 310-321
Persistent link: https://www.econbiz.de/10005318891
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Overconfidence: It Depends on How, What, and Whom You Ask, , , , , , , , ,
Klayman, Joshua; Soll, Jack B.; Gonzalez-Vallejo, Claudia; … - In: Organizational Behavior and Human Decision Processes 79 (1999) 3, pp. 216-247
Persistent link: https://www.econbiz.de/10005348435
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Multiple system estimation using covariates having missing values and measurement error : Estimating the size of the Māori population in New Zealand
van der Heijden, Peter G. M.; Cruyff, Maarten; Smith, … - In: Journal of the Royal Statistical Society: Series A … 185 (2021) 1, pp. 156-177
Persistent link: https://www.econbiz.de/10012636969
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Want to make behavioural research more replicable? Promote single paper meta-analysis
McShane, Blakeley B.; Böckenholt, Ulf - In: Significance 15 (2018) 6, pp. 38-40
Persistent link: https://www.econbiz.de/10012093068
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Meta‐analysis of Studies with Multiple Contrasts and Differences in Measurement Scales
McShane, Blakeley B.; Böckenholt, Ulf - In: Journal of Consumer Psychology 32 (2021) 1, pp. 23-40
Persistent link: https://www.econbiz.de/10012535538