Annual Review: Practice and Research in Career Counseling and Development—1998

The article reviews the practice and research literature in career counseling and development in 1998. The literature is presented and discussed under the following topical headings: contexts and populations, career processes, transitions, career assessment, and career counseling, services and programs.     

Bayesian Interval Estimation for the Difference in TPRs and FPRs of Two Diagnostic Tests with Unverified Negatives

We derive Bayesian interval estimators for the differences in the true positive rates and false positive rates of two dichotomous diagnostic tests applied to the members of two distinct populations. The populations have varying disease prevalences with unverified negatives. We compare the performance of the Bayesian credible interval to the Wald interval using Monte Carlo simulation for a spectrum of different TPRs, FPRs, and sample sizes. For the case of a low TPR and low FPR, we found that a Bayesian credible interval with relatively noninformative priors performed well. We obtain similar interval comparison results for the cases of a high TPR and high FPR, a high TPR and low FPR, and of a high TPR and mixed FPR after incorporating mildly informative priors.     

A Mandate for Honesty: Jeff Young's No Bullshit Therapy

Jeff Young talks about having been trained to be formal with clients, and his gradual realisation that he could return to the more direct ways of speech he learned as a child, and combine that with warmth. He found that clients and fellow professionals welcomed a therapist who did not ‘beat around the bush’. Together, Jeff and Ron talk about when directness is appropriate, and how directness needs to be modified for particular clients.     

Contemporary Political Communications: Audiences, Politicians and the Media in International Research

Research into political communication has grown rapidly in the past three decades, shifting from specific, quantitative and utilitarian studies to include a broad variety of research questions, methods and theoretical frameworks. Interdisciplinary work in political communication takes audiences, political actors (such as governments and politicians), and media content and media institutions as central foci. Research has traditionally focused on election campaign-specific studies within national contexts. Emerging research, however, is now addressing broader questions about media texts and organisations and also about representations and power. This research is working to trace technological changes and developments in an era of globalised media and political communication and developing new, complex conceptions of audience agency and reception.     

Bias of maximum likelihood estimators of the response standard deviation in regression

The bias of maximum likelihood estimators of the standard deviation of the response in location/scale regression models is considered. Results are obtained for a very wide family of densities for the response variable. These are used to propose point estimators with improved mean square error properties and to demonstrate the importance of bias correction in statistical inference when samples are moderately small.