Randomized response multivariate designs for categorical data

Three approaches to multivariate estimation for categorical data using randomized response (RR) are described. In the first approach, practical only for 2×2 contingency tables, a multi-proportions design is used. In the second approach, a separate RR trial is used for each variate and it is noted that the multi­variate design matrix of conditional probabilities is given by the Kroneeker product of the univariate design matrices of each trial, provided that the trials are independent of each other in a certain sense. The third approach requires only a single randomization and thus may be viewed as the use of vector response. Finally, a special-purpose bivariate design is presented.     

Bayesian estimation of proportions with a cross-entropy prior

This paper suggests estimators of the frequencies (N₈) or proportions {N₈/N) of N distinguishable objects contained in S categories; given various types of information, We consider information in the form of exact constraints on the N₈, sample frequencies, and frequencies of related data, The analysis uses Bayesian methods, where the prior distribution is assumed to be a function of the cross-entropy between the N₈ and a reference distribution, We show the relationship between our estimator and the log-linear and logit models and also present a sampling experiment to compare our proposed estimator with the iterated proportional fitting estimator.     

Bareback sex and the law: the difficult issue of HIV status disclosure

1. Unsafe anal intercourse (bareback sex) is on the rise within the gay community. 2. Barebacking constitutes a sexual practice with strong HIV-related legal implications. Nurses need to be aware of public health laws to be able to protect clients from undue legal prosecution. 3. Nurses need to be aware of the components of HIV pretest counseling. 4. Adopting a nonjudgmental, matter-of-fact approach is essential in establishing effective therapeutic relationships with clients who engage in bareback sex.     

Working Under a Black Cloud: How to Sustain Organizational Identification after a Merger*

This article argues against the merger folklore that maintains that a merger negatively affects well‐being and work attitudes primarily through the threat of job insecurity. We hold that the workplace is not only a resource for fulfilling a person's financial needs, but that it is an important component of the self‐concept in terms of identification with the organization, as explained by social identity theory. We unravel the key concepts of the social identity approach relevant to the analysis of mergers and review evidence from previous studies. Then, we present a study conducted during a merger to substantiate our ideas about the effects of post‐merger organizational identification above and beyond the effects of perceived job insecurity. We recommend that managers should account for these psychological effects through the provision of continuity and specific types of communication.