Ethical dilemmas faced by family therapists

This study explores the reactions of 202 randomly selected clinical members of the American Association for Marriage and Family Therapy (AAMFT) to a variety of ethical dilemma situations which examine what family therapists are doing in their work when confronted with these difficult situations. Eight of the issues studied have been discussed in the literature and eight are included in the AAMFT's Ethical Principles for Family Therapists (1984). In addition to showing how clinical members responded to dilemmic vignettes that reflect these dilemmas, results indicated that family therapists are facing these dilemmas, have a high rate of consensus of what they would and would not do in each situation and almost all the situations were seen as being ethically significant by the majority of respondents.     

Developing alliances between U.S. and Portuguese executives: The impact of executive courage

This study represents an effort to gain insights into the differences between U.S. and Portuguese executives with regard to their attitudes toward the role of executive courage in the business organization. Eighty Portuguese and 40 American executives participated in the study. Four research questions were formulated and investigated. Results show that the two groups of executives tended to be more similar than different. However, some statistically significant differences between the two samples were detected. Portuguese organizations exhibited significantly more control over the actions of their executives and rewarded efficiency rather than effectiveness, when compared to American business organizations. Implications for strategic alliances between Portuguese and American executives are discussed and recommendations for future research are provided.     

Asymptotic bootstrap validity for finite markov chains

Two methods of bootstrap, viz., standard, and conditional, are presented for estimating the transition probabilities of a finite state Markov chain. Asymptotic validity of the bootstrap estimates are established for both methods. An applica- tion to a bootstrapped statistic for testing independence is briefly discussed together with some simulation results.     

Pathways to parenting stress reduction among parents in South Africa

Parenting stress has a range of effects on parents and their children. Despite existing evidence on the effectiveness of family-based interventions on reducing parenting stress, little is known about the mechanism of change that contributes to its reduction. This study investigates the mechanism of change in a parenting programme (Parenting for Lifelong Health [PLH]) on reducing parenting stress among parents of adolescents in South Africa. A pragmatic cluster randomized controlled trial was conducted among a total sample of 552 parents and primary caregivers (aged, M = 49.37; SD = 14.69) who were recruited from 40 communities in South Africa's Eastern Cape Province. A mediation analysis was performed to investigate direct and indirect effects using PROCESS macrostatistical software. The findings of the study indicate that parenting stress reduction operates via three significant mediators: improved parent–child relationship (β = 0.058, P < 0.000), reduced parental depression (β = −0.103, P < 0.000) and reduced family financial strain (β = −0.049, P < 0.000). The findings of the study highlight the importance of considering child, parental and contextual factors in the design and development of interventions aimed at reducing parenting stress in families in low- and middle-income settings.     

CHOICE-CONSTRAINED CONJOINT ANALYSIS

Choice-constrained conjoint analysis (CCCA) is a new method for metric conjoint analysis studies. It computes part-worth utility functions that account for “revealed preference”—those products a respondent actually selects in an independent choice situation. CCCA uses an iterative penalty function estimation procedure that successively modifies initial regressionderived part worths so that respondent choices (either actual or intended) of real brands are predicted as accurately as possible. The paper first describes the motivation and rationale for CCCA and presents the mathematics of the algorithm. As an illustration, it applies the CCCA model and penalty function estimation procedure to a limited set of synthetic data. A second application of the technique is presented that uses data obtained by a major telecommunications firm that used conjoint analysis to examine the importance of several features of residential communication devices. The paper also discusses potential extensions of the CCCA model and the kinds of marketing applications for which it might be useful.     

REPLY TO: “ON THE SENSITIVITY OF BRAND-CHOICE SIMULATIONS TO ATTRIBUTE IMPORTANCE WEIGHTS”

Our reply to Curry, Louviere, and Augustine's critique of our earlier paper focuses on differences in motivation between our research and theirs. Our interest in the problem relates to the possible incorporation of self-explicated evaluations in conjoint data collection methods; subsequent to the appearance of our original paper, we have developed hybrid models that combine elements of self-explicated (compositional) and conjoint (decompositional) data collection procedures. As far as we can surmise from their critique, Curry, Louviere, and Augustine are concerned with much broader strategic issues relating share of choices in the consumer population to changes in the shape of attribute weight distributions, shape of the Pareto tradeoff boundary, and so on.