Career Counseling and Possible Selves: A Case Study

Process-oriented case analyses, which are the natural next step in understanding career interventions, are beginning to reveal subtle process changes across sessions. In this case, a 37-year-old physical therapist, who expressed dissatisfaction with her current position, participated in 8 sessions of individual career counseling with an experienced doctoral-level career psychologist. The Possible Selves Questionnaire (PSQ; Markus, 1987), the Symptom 90-R Checklist (Derogatis, 1983), and the Career Decision Scale (Osipow, 1987) were administered at pretesting, after 4 sessions, and at posttesting. Four client- and 2 counselor-process measures were also administered following each session. Results revealed expected changes in traditional outcome measures, and an increase followed by a decrease in future possible selves. Anxiety and vocational information seeking followed a sine-shaped pattern, and sleep disturbance increased at midcounseling and posttesting. Session depth and smoothness were highest when anxiety and information seeking were lowest. These findings, which coincide with other case study results, were integrated using an activation theory model of career intervention in which moderate anxiety serves as a motivator for constructive behavior change.     

Measuring progress and evolution in science and technology – II: The multiple uses of technometric indicators

Science and technology development have become critical instruments in the public policy arena given their demonstrated impact on economic progress. As a consequence, a wide array of indicators for measuring and mapping scientific and technological activity, their progress and their outcomes, has been developed over recent decades (see for instance, European Commission, 2nd Report on S&T Indicators, 1997). The majority of these indicators relate to measuring and mapping the published journal and patent literature. In the second part of this review, we focus on a state-of-the-art overview of patent indicators and their multiple uses in supporting the development of science and technology policy. We also discuss the limitations and the pitfalls related to their use.     

Strategic management: New ventures and small business

This paper examines the factors influencing the formulation and implementation of strategy in new and small firms. Small businesses vary substantially in their resource positions, the goals of their founders and their potential. They also vary in stage of development: thus strategic management is examined separately in the start-up stage, the early-growth stage, and the later-growth stage. Intracorporate entrepreneurship in established firms is also considered. Despite this diversity, small firms create an environment for strategic management in which both the opportunities and constraints are different from those in large organizations.     

Cost-plus pricing when joint costs are present

Companies using cost-plus pricing often produce products that entail joint cost allocation. A problem they have encountered is that, while product prices are a function of the full cost, joint cost allocation methods using net realizable values depend on the product prices. This paper shows that when all costs and production quantities are known (or can be budgeted), it is possible to simultaneously determine unique product prices and cost allocations using the net realizable value method.     

Birds of passage no more: migration decision making among Filipino immigrants in Hawaii

Using data primarily from the Honolulu Destination Survey (HDS), which is part of the Philippine Migration Study (a study of a migration system that has its origins in Ilocos Norte, a largely rural province in the Philippines), the author examines migration decision making among Philippine immigrants in Hawaii. The HDS, conducted in 1981, interviewed 1484 residents of Honolulu who immigrated from the Ilocos Region after the US immigration law was liberalized in 1965. Results from the Philippine Migration Study (PMS) survey show that of those who did not have any intentions to move within 2 years in 1980, 88% did not move between 1980 and 1982. Of those who said they were certain to move within 2 years, 54% actually moved, while only 36% who were fairly certain and 31% who were uncertain moved. Virtually all of those who actually moved to Hawaii from 1980-1982 had intended to move to Hawaii in 1980. It thus appears that most migration is planned well in advance. For those who have already migrated, their behavior in the destination is influenced by their expectations about future migration. An estimated 20-38.7% of legal immigrants to the US from the Philippines in 1971 had emigrated as of January 1979. 49% of HDS respondents said that they did not intend to move out of Hawaii any time in the future. Among those who intend to move in the future, 69% want to return to Ilocos and 26% intend to move to the US mainland. 40% want to leave Hawaii for economic reasons and 27% for affiliation purposes. The value expectancy framework used in the PMS measures expectations of achieving one's most important goals in alternative locations. The analysis employs both binomial and multinomial logit analysis to identify significant determinants of future migration intentions. The 7 conceptual categories are: wealth, status, comfort, stimulation, autonomy, affiliation, and morality. 90% consider "having a peaceful life" followed by "getting ahead in the world" the most important values. Wealth items are next, followed by comfort variables. Affiliation items are moderately important. Autonomy and morality are considerably less important and stimulation is least. The author examines the following determinants of future intentions in a multivariate framework: 1) adjustment problems, 2) continuing contacts with the Philippines, 3) previous migration history, and 4) sociodemographic factors. This study suggests that the Ilocano immigrants will continue to develop strong ties to Hawaii since only a small proportion intend to move out of the state any time in the future.     

Die Dynamik von Führung, Vertrauen und Konflikt in virtuellen Teams

The importance of virtual teams for collaboration of globally networked organizations has long been debated. But although this new form of division of labor appears in nearly all companies, which poses special challenges to managers and team members, scientific findings and recommendations have not sufficiently been integrated into practice so far. This article discusses on the one hand the challenges and opportunities of virtual teams, on the other hand wants by the presenting of scientific findings both provide food for thought, as well as concrete recommendations for implementation in practice.     

Transgender youth: invisible and vulnerable

This study used three focus groups to explore factors that affect the experiences of youth (ages 15 to 21) who identify as transgender. The focus groups were designed to probe transgender youths' experiences of vulnerability in the areas of health and mental health. This involved their exposure to risks, discrimination, marginalization, and their access to supportive resources. Three themes emerged from an analysis of the groups' conversations. The themes centered on gender identity and gender presentation, sexuality and sexual orientation, and vulnerability and health issues. Most youth reported feeling they were transgender at puberty, and they experienced negative reactions to their gender atypical behaviors, as well as confusion between their gender identity and sexual orientation. Youth noted four problems related to their vulnerability in health-related areas: the lack of safe environments, poor access to physical health services, inadequate resources to address their mental health concerns, and a lack of continuity of caregiving by their families and communities.     

Feasibility as a mechanism for model identification and validation

As new technologies permit the generation of hitherto unprecedented volumes of data (e.g. genome-wide association study data), researchers struggle to keep up with the added complexity and time commitment required for its analysis. For this reason, model selection commonly relies on machine learning and data-reduction techniques, which tend to afford models with obscure interpretations. Even in cases with straightforward explanatory variables, the so-called ‘best’ model produced by a given model-selection technique may fail to capture information of vital importance to the domain-specific questions at hand. Herein we propose a new concept for model selection, feasibility, for use in identifying multiple models that are in some sense optimal and may unite to provide a wider range of information relevant to the topic of interest, including (but not limited to) interaction terms. We further provide an R package and associated Shiny Applications for use in identifying or validating feasible models, the performance of which we demonstrate on both simulated and real-life data.