Search results

While much of the existing research regarding moral exemplarity has focused on living individuals, examination of the lives of historical figures can also prove invaluable in understanding moral motivation. Consequently, this paper sought to apply Frimer and Walker’s (2009) reconciliation model and methodology in examining themes of agency and communion in the motivation of Miep Gies. Frimer and Walker’s (2009) Self-Understanding Interview and the VEiN coding method (Frimer, Walker, & Dunlop, 2009) served as guides for examining published and audio-recorded interviews, biographical and autobiographical information, as well as video-recorded speeches given by Gies. Aspects of an integrated moral identity appeared evident in the personality of Miep Gies as indicated in statements reflecting an overlap of both agency and communion. The study was limited in its reliance on publically available documents about or by Gies. Further, reliance on these documents, as opposed to a “live” interview, limited the ability of the author to identify responses to all questions included in Frimer and Walker’s (2009) interview or fully utilize the VEiN coding method (Frimer et al., 2009). Exploration of life narratives of historical figures can provide insight into an integrated moral identity as well as examples of developmental crossroads Frimer and Walker (2009) cited as essential in their reconciliation model. Comprehension of this reconciliation process is critical to understanding what lies at the heart of moral motivation and action as well as the ability to promote such growth in the lives of others.

This chapter summarizes issues related to the accurate and timely identification of students with emotional and/or behavioral disorders (EBDs) as well as identifying need, planning interventions, and monitoring outcomes. First, we describe ongoing issues and concerns with accurate (e.g., minimization of false positives and false negatives) and timely (e.g., improved service delivery by being more responsive to students in need of special education) identification of students with emotional disturbance (ED). ¹ Next, we describe general assessment methods and considerations that may contribute to improved service delivery. We close this chapter with a discussion of the critical role that accurate and timely identification plays in the provision of opportunity and the attainment of free appropriate public education (FAPE) mandates.

Post-secondary institutions are at a crossroads. Students from various marginalized communities are increasingly encountering hostile environments. Fortunately, historically Black colleges and universities (HBCUs) offer students safe spaces to deconstruct vital issues. However, they have struggled to keep pace with other colleges and universities committed to supporting LGBTQ students. As a result, LGBTQ students feel isolated and abandoned because of conservative ideas rooted in heteronormativity. This chapter will explore: (1) findings from a study that examined the perceptions and attitudes of undergraduate students from a public HBCU regarding the LGBTQ community; (2) how conservative tenets impacts LGBTQ students’ experiences; and (3) university support systems for LGBTQ students. In addition, the chapter includes recommendations and implications for HBCU administrators.

The search for flexible models has led the simple multinomial logit model to evolve into the powerful but computationally very demanding mixed multinomial logit (MMNL) model. That flexibility search lead to discrete choice hybrid choice models (HCMs) formulations that explicitly incorporate psychological factors affecting decision making in order to enhance the behavioral representation of the choice process. It expands on standard choice models by including attitudes, opinions, and perceptions as psychometric latent variables.

In this paper we describe the classical estimation technique for a simulated maximum likelihood (SML) solution of the HCM. To show its feasibility, we apply it to data of stated personal vehicle choices made by Canadian consumers when faced with technological innovations.

We then go beyond classical methods, and estimate the HCM using a hierarchical Bayesian approach that exploits HCM Gibbs sampling considering both a probit and a MMNL discrete choice kernel. We then carry out a Monte Carlo experiment to test how the HCM Gibbs sampler works in practice. To our knowledge, this is the first practical application of HCM Bayesian estimation.

We show that although HCM joint estimation requires the evaluation of complex multi-dimensional integrals, SML can be successfully implemented. The HCM framework not only proves to be capable of introducing latent variables, but also makes it possible to tackle the problem of measurement errors in variables in a very natural way. We also show that working with Bayesian methods has the potential to break down the complexity of classical estimation.

The ever‐increasing diversity in family forms has provoked concerns in the UK about the instability of family life in the 21st century and promoted a plethora of policy initiatives aimed at strengthening families and supporting parents. This article explores the changes and continuities in family life and the implications for parenting and family policy. It argues that despite the immense diversity of family relationships, there is an enduring attachment to family ties and commitment. Understanding the inter‐relationships between risk and protective factors and how resilience may be fostered is critical, therefore, to the development of policies that can support families at times of stress.

This chapter reviews recent research regarding behavior interventions for young children. We first consider the implications of allowing maladaptive behavior to remain untreated in young children. The reasons that people may select for inaction are illustrated through a case example of an individual who manifested behavior problems that were allowed to continue through accommodations rather than being addressed through interventions. We then consider several examples of promising behavior interventions for very young children that can be carried out in home and preschool environments. Next, we review promising interventions that are appropriate for school-based settings. We conclude with the observation that while it is absolutely necessary to deal with urgent situations evoked by maladaptive behavior, it is critical to keep sight of the goal that we should always work to promote more mature, self-regulated, and acceptable behaviors across settings.

This paper introduces a behavioral framework to model residential relocation decision in island areas, at which the decision in question is influenced by the characteristics of island regions, policy variables related to accessibility measures, and housing prices at the proposed island area, as well as personal, household (HH), job, and latent characteristics of the decision makers.

The model framework corresponds to an integrated choice and latent variable (ICLV) setting where the discrete choice model includes latent variables that capture attitudes and perceptions of the decision makers. The latent variable model is composed of a group of structural equations describing the latent variables as a function of observable exogenous variables and a group of measurement equations, linking the latent variables to observable indicators.

An empirical study has been developed for the Greek Aegean island area. Data were collected from 900 HHs in Greece contacted via telephone. The HHs were presented hypothetical scenarios involving policy variables, where 2010 was the reference year. ICLV binary logit (BL) and mixed binary logit (MBL) relocation choice models were estimated sequentially. Findings suggest that MBL models are superior to BL models, while both the policy and the latent variables significantly affect the relocation decision and improve considerably the models' goodness of fit. Sample enumeration method is finally used to aggregate the results over the Greek population.