title: Asking sensitive questions: a statistical power analysis of randomized response models.
abstract: This article derives the power curves for a Wald test that can be applied to randomized response models when small prevalence rates must be assessed (e.g., detecting doping behavior among elite athletes). These curves enable the assessment of the statistical power that is associated with each model (e.g., Warner's model, crosswise model, unrelated question model, forced-choice models, item count model, cheater detection model). This power analysis can help in choosing the optimal model and sample size and in setting model parameters in survey studies. The general framework can be applied to all existing randomized response model versions. The Appendix of this article contains worked-out numerical examples to demonstrate the power analysis for each specific model.
authors.affiliation: Department of Psychology, Universität Tübingen, Tübingen, Germany. ulrich@uni-tuebingen.de
authors.forename: Rolf
authors.initials: R
authors.lastname: Ulrich
authors.forename: Hannes
authors.initials: H
authors.lastname: Schröter
authors.forename: Heiko
authors.initials: H
authors.lastname: Striegel
authors.forename: Perikles
authors.initials: P
authors.lastname: Simon
mesh_terms: D002755:Choice Behavior; D003625:Data Collection / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D012107:Research Design; D018401:Sample Size