Item Randomized-Response Models for Measuring Noncompliance: Risk-Return Perceptions, Social Influences, and Self-Protective Responses

Author:

Böckenholt Ulf,van der Heijden Peter G. M.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Psychology

Reference32 articles.

1. Becker, G.S. (1968). Crime and punishment: An economic approach. Journal of Political Economy, 76, 169–217.

2. Birnbaum, A. (1968). Some latent trait models and their uses in inferring an examinee’s ability. In F.M. Lord, & M.R. Novick, Statistical theories of mental test scores (pp. 395–379). Reading, MA: Addison-Wesley.

3. Bock, R.D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: An application of the EM algorithm. Psychometrika, 46, 443–459.

4. Böckenholt, U., & van der Heijden, P.G.M. (2004). Measuring noncompliance in insurance benefit regulations with randomized response methods for multiple items. In A. Biggeri, E. Dreassi, C. Lagazio, & M. Marchi (Eds.), 19th international workshop on statistical modelling (pp. 106–110). Florence: Italy.

5. Chaudhuri, A., & Mukerjee, R. (1988). Randomized response: Theory and techniques. New York: Marcel Dekker.

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