Exploring Cultural Issues for Constellation Work in South Africa

Constellation work is a therapeutic and counselling intervention recognised in Germany and other European countries since the 1970s. Various scientists and practitioners have contributed to its theoretical and practical development, and research on the subject has increased over the past few years. However culture in constellation work has received little research attention and has not been empirically studied in African contexts. The aim of this article is to reflect on culture and its influence on constellation work in multicultural, post‐apartheid South Africa. An empirical qualitative research approach within the phenomenological paradigm was adopted. Six constellation facilitators were interviewed with in‐depth and field notes taken during participative observations of constellation workshops. The findings provide insight into culture in constellation work in the South African context. Theoretical and practical recommendations for scientists and therapy practitioners working with systemic interventions like constellation work are provided.     

Expanding Boundaries of Whiteness? A Look at the Marital Patterns of Part‐White Multiracial Groups

Using a boundary perspective (Alba and Nee 2003 ), I examine the marital behavior of three self‐identified multiracial groups: black/whites, American Indian/whites, Asian/whites. With a focus on marriage with whites, I assess whether the boundaries of whiteness are expanding to include these part‐white multiracial groups. Marrying whites at a large scale may signify that part‐white multiracial Americans are in the process of being accepted as “white.” At the same time, due to differences in the racial identity experiences of multiracial groups, marital patterns may differ by racial combination. Based on analysis of 2008–2012 American Community Survey data, I find that the majority of all three groups are married to whites, suggesting that most members in these groups are on the path to whiteness. On the other hand, multinomial logistic regression analysis demonstrates that American Indian/whites and Asian/whites are more likely than black/whites to have a white spouse, relative to spouses of another race/ethnicity. Moreover, separate regression analyses by multiracial group reveal gender differences in their likelihood of marrying whites for black/whites and Asian/whites. These results indicate racial stratification in the marriage market among part‐white multiracial Americans, with further stratification by gender for some groups.     

To adjust or not to adjust for baseline when analyzing repeated binary responses? The case of complete data when treatment comparison at study end is of interest

The benefits of adjusting for baseline covariates are not as straightforward with repeated binary responses as with continuous response variables. Therefore, in this study, we compared different methods for analyzing repeated binary data through simulations when the outcome at the study endpoint is of interest. Methods compared included chi‐square, Fisher's exact test, covariate adjusted/unadjusted logistic regression (Adj.logit/Unadj.logit), covariate adjusted/unadjusted generalized estimating equations (Adj.GEE/Unadj.GEE), covariate adjusted/unadjusted generalized linear mixed model (Adj.GLMM/Unadj.GLMM). All these methods preserved the type I error close to the nominal level. Covariate adjusted methods improved power compared with the unadjusted methods because of the increased treatment effect estimates, especially when the correlation between the baseline and outcome was strong, even though there was an apparent increase in standard errors. Results of the Chi‐squared test were identical to those for the unadjusted logistic regression. Fisher's exact test was the most conservative test regarding the type I error rate and also with the lowest power. Without missing data, there was no gain in using a repeated measures approach over a simple logistic regression at the final time point. Analysis of results from five phase III diabetes trials of the same compound was consistent with the simulation findings. Therefore, covariate adjusted analysis is recommended for repeated binary data when the study endpoint is of interest. Copyright © 2015 John Wiley & Sons, Ltd.     

Who Do You Say That I Am? A History of How Religion Communicators Have Often Avoided “Public Relations”

ABSTRACT

This article argues that Religion Communicators Council members have historically avoided identification with public relations—especially practices associated with Edward Bernays. Council members appear to consider Bernays’ research-based approach evil and manipulative. Instead, religion communicators follow in Ivy Lee's footsteps. The one-time journalist promised to provide honest, accurate news about his clients, not advertising. Comments in council documents have shown that since 1929 members describe themselves more as technicians and in-house journalists who provide news about their organizations than as management-level public relations counsels. These comments reflect Lee's 1905 Declaration of Principles and a public-information approach to public relations.