Ag Decision Maker, December 2014, Vol. 19, no. 2

A Business Newsletter for Agriculture

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Career interventions for adults frequently include personality assessment. Personality in career counseling contexts should no longer be considered as vocational personality associated with personality interests but, rather, as a set of dispositions that has an impact on several vocational and career-related outcomes, such as work engagement, work satisfaction, job performance, etc. Although the relationship between personality and the vocational and career related outcomes is not direct, it might certainly be mediated by several regulatory processes, such as work adaptability, and moderated by contextual and environmental factors. Personality assessment initiates an individual's self-regulatory process and contributes to the overall effectiveness of career interventions when feedback is individualized and stimulates a deconstruction, reconstruction, and co-construction of the vocational or multiple self-concept. Personality assessments can also promote the reconstruction of a self-concept more aligned with the perception of the environment about the personality of the counselee, strengthening the reality principle allowing more rational and controlled choices. In addition, some specific personality profiles, such as having high levels of neuroticism and low levels of conscientiousness, can be considered as risk factors frequently leading to career decision-making difficulties. Moreover, people with low conscientiousness benefit less from career interventions, so special attention should be devoted to counselees having that characteristic. Two case studies are provided to illustrate these important aspects of personality assessment in career interventions.

Ag Decision Maker, January 2015, Vol. 19, no. 3

A Business Newsletter for Agriculture

Satisfaction survey of Directed Experiential Learning (DEL)

The aim of this questionnaire is to assess your experience of the DEL learning process as developed by your university. The questionnaire is anonymous and it should not take more than fifteen minutes to complete.

Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studies.

ABSTRACT: BACKGROUND: Decision curve analysis has been introduced as a method to evaluate prediction models in terms of their clinical consequences if used for a binary classification of subjects into a group who should and into a group who should not be treated. The key concept for this type of evaluation is the "net benefit", a concept borrowed from utility theory. METHODS: We recall the foundations of decision curve analysis and discuss some new aspects. First, we stress the formal distinction between the net benefit for the treated and for the untreated and define the concept of the "overall net benefit". Next, we revisit the important distinction between the concept of accuracy, as typically assessed using the Youden index and a receiver operating characteristic (ROC) analysis, and the concept of utility of a prediction model, as assessed using decision curve analysis. Finally, we provide an explicit implementation of decision curve analysis to be applied in the context of case-control studies. RESULTS: We show that the overall net benefit, which combines the net benefit for the treated and the untreated, is a natural alternative to the benefit achieved by a model, being invariant with respect to the coding of the outcome, and conveying a more comprehensive picture of the situation. Further, within the framework of decision curve analysis, we illustrate the important difference between the accuracy and the utility of a model, demonstrating how poor an accurate model may be in terms of its net benefit. Eventually, we expose that the application of decision curve analysis to case-control studies, where an accurate estimate of the true prevalence of a disease cannot be obtained from the data, is achieved with a few modifications to the original calculation procedure. CONCLUSIONS: We present several interrelated extensions to decision curve analysis that will both facilitate its interpretation and broaden its potential area of application.

Decision-making with distance measures and inducedaggregation operators

[spa] Se presenta un nuevo modelo para la toma de decisiones basado en el uso de medidas de distancia y de operadores de agregación inducidos. Se introduce la distancia media ponderada ordenada inducida (IOWAD). Es un nuevo operador de agregación que extiende el operador OWA a través del uso de distancias y un proceso de reordenación de los argumentos basado en variables de ordenación inducidas. La principal ventaja el operador IOWAD es la posibilidad de utilizar una familia parametrizada de operadores de agregación entre la distancia individual máxima y la mínima. Se estudian algunas de sus principales propiedades y algunos casos particulares. Se desarrolla un ejemplo numérico en un problema de toma de decisiones sobre selección de inversiones. Se observa que la principal ventaja de este modelo en la toma de decisiones es la posibilidad de mostrar una visión más completa del proceso, de forma que el decisor está capacitado para seleccionar la alternativa que está más cerca de sus intereses.

Decision-making with distance measures and inducedaggregation operators

[spa] Se presenta un nuevo modelo para la toma de decisiones basado en el uso de medidas de distancia y de operadores de agregación inducidos. Se introduce la distancia media ponderada ordenada inducida (IOWAD). Es un nuevo operador de agregación que extiende el operador OWA a través del uso de distancias y un proceso de reordenación de los argumentos basado en variables de ordenación inducidas. La principal ventaja el operador IOWAD es la posibilidad de utilizar una familia parametrizada de operadores de agregación entre la distancia individual máxima y la mínima. Se estudian algunas de sus principales propiedades y algunos casos particulares. Se desarrolla un ejemplo numérico en un problema de toma de decisiones sobre selección de inversiones. Se observa que la principal ventaja de este modelo en la toma de decisiones es la posibilidad de mostrar una visión más completa del proceso, de forma que el decisor está capacitado para seleccionar la alternativa que está más cerca de sus intereses.

Decision making techniques with similarity measures and OWA operators

We analyse the use of the ordered weighted average (OWA) in decision-making giving special attention to business and economic decision-making problems. We present several aggregation techniques that are very useful for decision-making such as the Hamming distance, the adequacy coefficient and the index of maximum and minimum level. We suggest a new approach by using immediate weights, that is, by using the weighted average and the OWA operator in the same formulation. We further generalize them by using generalized and quasi-arithmetic means. We also analyse the applicability of the OWA operator in business and economics and we see that we can use it instead of the weighted average. We end the paper with an application in a business multi-person decision-making problem regarding production management

Does unemployment hurt less if there is more of it around? A panel analysis of life satisfaction in Germany and Switzerland

This paper examines the existence of a habituation effect to unemployment: Do theunemployed suffer less from job loss if unemployment is more widespread, if their ownunemployment lasts longer and if unemployment is a recurrent experience? Theunderlying idea is that unemployment hysteresis may operate through a sociologicalchannel: if many people in the community lose their job and remain unemployed over anextended period, the psychological cost of being unemployed diminishes and the pressureto accept a new job declines. We analyze this question with individual-level data from theGerman Socio-Economic Panel (1984-2009) and the Swiss Household Panel (2000-2009). We find no evidence for a mitigating effect of high surrounding unemployment onunemployed individuals' subjective well-being: Becoming unemployed hurts as muchwhen regional unemployment is high as when it is low. Likewise, the strongly harmfulimpact of being unemployed on well-being does not wear off over time, nor do repeatedepisodes of unemployment make it any better. It thus appears doubtful that anunemployment shock becomes persistent because the unemployed become used to, andhence reasonably content with, being without a job.

How can continuing professional development better promote shared decision-making? Perspectives from an international collaboration.

ABSTRACT: BACKGROUND: Shared decision-making is not widely implemented in healthcare. We aimed to set a research agenda about promoting shared decision-making through continuing professional development. METHODS: Thirty-six participants met for two days. RESULTS: Participants suggested ways to improve an environmental scan that had inventoried 53 shared decision-making training programs from 14 countries. Their proposed research agenda included reaching an international consensus on shared decision-making competencies and creating a framework for accrediting continuing professional development initiatives in shared decision-making. CONCLUSIONS: Variability in shared decision-making training programs showcases the need for quality assurance frameworks.

Improvement of a fully distributed decision making protocol for CRN

Abstract¿La deteción del espectro libre para las comunicaciones inalámbricas en un momento puntual es una tarea compleja cuyo desarrollo se simplica al realizarse de forma distribuida por una red de radio cognitiva. Sin embargo existes dificultades y vulnerabilidades de seguridad que han de ser tenidas en cuenta y solventadas a la hora de autenticar y validar los nodos de la red. Este artículo presenta una propuesta de mejora del protocolo fully distributed decision making protocol for CRN con el fin de llevar a cabo esta tarea de detección del espectro de una manera eficiente y segura.

Ag Decision Maker, February 2015, Vol. 19, no. 4

A Business Newsletter for Agriculture

Ag Decision Maker, March 2015, Vol. 19, no. 5

A Business Newsletter for Agriculture

Ag Decision Maker, April 2015, Vol. 19, no. 6

A Business Newsletter for Agriculture

Ag Decision Maker, May 2015, Vol. 19, no. 7

A Business Newsletter for Agriculture