815 resultados para Career choices
Resumo:
Drawing on previous research identifying how teachers’ capacities to sustain their effectiveness in different phases of their professional lives are affected positively and/or negatively by their sense of identity, this paper illuminates three early–mid career teachers’ self-study inquiries, centring on mask work. The creative development of individual masks discloses teachers’ complex, occasionally
dislocated narratives of personal/professional identity. Subsequent improvisation with their masks is shown to engage teachers emotionally with tensions and dissonances within and between their various personae and personal, professional and political contexts at each of their respective career life phases. Storylines ultimately become reframed and, in a number of instances, lay claim to reinvigorated commitment, self-determination and initiatives for change.
Resumo:
Medical students frequently have negative preconceptions of a career in Geriatric Medicine. In ta qualitative analysis of the free text from 789 response from Medical students in Scotland and Northern Ireland, we show that clinical attachment seffectively challenge negative student views and more positive statements about future careers in Geriatric Medicine emerged at the end of the attachment.
Resumo:
This paper compares the Random Regret Minimization and the Random Utility Maximization models for determining recreational choice. The Random Regret approach is based on the idea that, when choosing, individuals aim to minimize their regret – regret being defined as what one experiences when a non-chosen alternative in a choice set performs better than a chosen one in relation to one or more attributes. The Random Regret paradigm, recently developed in transport economics, presents a tractable, regret-based alternative to the dominant choice paradigm based on Random Utility. Using data from a travel cost study exploring factors that influence kayakers’ site-choice decisions in the Republic of Ireland, we estimate both the traditional Random Utility multinomial logit model (RU-MNL) and the Random Regret multinomial logit model (RR-MNL) to gain more insights into site choice decisions. We further explore whether choices are driven by a utility maximization or a regret minimization paradigm by running a binary logit model to examine the likelihood of the two decision choice paradigms using site visits and respondents characteristics as explanatory variables. In addition to being one of the first studies to apply the RR-MNL to an environmental good, this paper also represents the first application of the RR-MNL to compute the Logsum to test and strengthen conclusions on welfare impacts of potential alternative policy scenarios.
Resumo:
This paper introduces the discrete choice model-paradigm of Random Regret Minimisation (RRM) to the field of health economics. The RRM is a regret-based model that explores a driver of choice different from the traditional utility-based Random Utility Maximisation (RUM). The RRM approach is based on the idea that, when choosing, individuals aim to minimise their regret–regret being defined as what one experiences when a non-chosen alternative in a choice set performs better than a chosen one in relation to one or more attributes. Analysing data from a discrete choice experiment on diet, physical activity and risk of a fatal heart attack in the next ten years administered to a sample of the Northern Ireland population, we find that the combined use of RUM and RRM models offer additional information, providing useful behavioural insights for better informed policy appraisal.