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418 results on '"Böckenholt, Ulf"'

6. Accounting for self-protective responses in randomized response data from a social security survey using the zero-inflated Poisson model

Author

Cruyff, Maarten J. L. F., Böckenholt, Ulf, Hout, Ardo van den, and van der Heijden, Peter G. M.

Subjects
Statistics - Applications
Abstract

In 2004 the Dutch Department of Social Affairs conducted a survey to assess the extent of noncompliance with social security regulations. The survey was conducted among 870 recipients of social security benefits and included a series of sensitive questions about regulatory noncompliance. Due to the sensitive nature of the questions the randomized response design was used. Although randomized response protects the privacy of the respondent, it is unlikely that all respondents followed the design. In this paper we introduce a model that allows for respondents displaying self-protective response behavior by consistently giving the nonincriminating response, irrespective of the outcome of the randomizing device. The dependent variable denoting the total number of incriminating responses is assumed to be generated by the application of randomized response to a latent Poisson variable denoting the true number of rule violations. Since self-protective responses result in an excess of observed zeros in relation to the Poisson randomized response distribution, these are modeled as observed zero-inflation. The model includes predictors of the Poisson parameters, as well as predictors of the probability of self-protective response behavior., Comment: Published in at http://dx.doi.org/10.1214/07-AOAS135 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Published
2008
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27. Multilevel multivariate meta-analysis made easy: An introduction to MLMVmeta.

Author

McShane, Blakeley B. and Böckenholt, Ulf

Subjects
*RANDOM effects model, *WEB-based user interfaces, *PSYCHOLOGICAL research, *DEPENDENT variables
Abstract

The basic random effects meta-analytic model is overwhelmingly dominant in psychological research. Indeed, it is typically employed even when more complex multilevel multivariate meta-analytic models are warranted. In this paper, we aim to help overcome challenges so that multilevel multivariate meta-analytic models will be more often employed in practice. We do so by introducing MLMVmeta—an easy-to-use web application that implements multilevel multivariate meta-analytic methodology that is both specially tailored to contemporary psychological research and easily estimable, interpretable, and parsimonious—and illustrating it across three case studies. The three case studies demonstrate the more accurate and extensive results that can be obtained via multilevel multivariate meta-analytic models. Further, they sequentially build in complexity featuring increasing numbers of experimental factors and conditions, dependent variables, and levels; this in turn necessitates increasingly complex model specifications that also sequentially build upon one another. [ABSTRACT FROM AUTHOR]

Published
2023
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37. Towards a brain-to-society systems model of individual choice

Author

Dubé, Laurette, Bechara, Antoine, Böckenholt, Ulf, Ansari, Asim, Dagher, Alain, Daniel, Mark, DeSarbo, Wayne S., Fellows, Lesley K., Hammond, Ross A., Huang, Terry T-K, Huettel, Scott, Kestens, Yan, Knäuper, Bärbel, Kooreman, Peter, Moore, Douglas Spencer, and Smidts, Ale

Published
2008

49. Preface

Author

Wiberg, Marie, Molenaar, Dylan, González, Jorge, Böckenholt, Ulf, Kim, Jee-Seon, Wiberg, Marie, Molenaar, Dylan, González, Jorge, Böckenholt, Ulf, and Kim, Jee-Seon

Published
2021
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50. Quantitative psychology : the 85th annual meeting of the Psychometric Society, virtual

Author

Wiberg, Marie, Molenaar, Dylan, González, Jorge, Böckenholt, Ulf, Kim, Jee-Seon, Wiberg, Marie, Molenaar, Dylan, González, Jorge, Böckenholt, Ulf, and Kim, Jee-Seon

Abstract

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer-reviewed presentations given at the 85th Annual International Meeting of the Psychometric Society (IMPS), held virtually on July 13-17, 2020. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations. Leading experts and promising young researchers have written the included chapters. The chapters address a wide variety of topics including but not limited to item response theory, adaptive testing, Bayesian estimation, propensity scores, and cognitive diagnostic models. This volume is the 9th in a series of recent works to cover research presented at the IMPS.

Published
2021
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