A Review of Regression Procedures for Randomized Response Data, Including Univariate and Multivariate Logistic Regression, the Proportional Odds Model and Item Response Model, and Self-Protective Responses-Reference-Cited by-同舟云学术

A Review of Regression Procedures for Randomized Response Data, Including Univariate and Multivariate Logistic Regression, the Proportional Odds Model and Item Response Model, and Self-Protective Responses

Published:2016 Issue: Volume: Page:287-315
ISSN:0169-7161
Container-title:Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits
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Author:

Cruyff M.J.L.F.,Böckenholt U.,van der Heijden P.G.M.,Frank L.E.

Publisher

Elsevier

Reference41 articles.

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4. Item randomized-response models for measuring noncompliance: risk-return perceptions, social influences, and self-protective responses;Böckenholt;Psychometrika,2007

5. Do randomized-response designs eliminate response biases? An empirical study of non-compliance;Böckenholt;J. Appl. Econometr.,2009

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