Effectiveness of personal planning for residents re-entering the community during the facility initiative in Ontario

This paper reports on the relocation of people with intellectual disabilities (ID) from large-scale provincially run institutions that took place in Ontario as part of the Facility Initiative. Three case studies were examined in order to report on this process as experienced by those who lived and worked through it. Specifically, the planning process conducted by the Ministry of Community and Social Services (MCSS) to assist each person with hislher transition to community living was examined using the current standard of practice in person- centered planning approaches. Effectiveness was evaluated as the ability to apply a person-centered approach across settings and people, as well as what factors facilitated or hindered its application. Results show that, in general, the personal plans do not appear to reflect the pre-transition experience of the person. Also, the transitional planning process did not appear person-centered nor facilitate further person-centered planning in the community.

The light and dark sides of perfectionism : implications for health and well-being

The present work presents two studies that examined the association of perfectionism, operationally defined by Hewi t t and Fl e t t ' s (1991) multidimensional mode l of perfectionism, with health and subjective well-being (SWB). The underlying question of this research was whether perfectionism could be beneficial as well as detrimental to health and well-being, as this is one of the mos t highly debated questions in the current literature. In samples of relatively healthy university students (n = 538) and community adults suffering from various chronic illnesses (n = 772), results from Study One indicated that socially prescribed perfectionism (SPP) is directly associated wi th poor e r he a l th and well-being. Results further showed f rom a personcentered perspective that there is a l a rge group of individuals wi th high levels of SPP and that i t is indeed these individuals who reported the poorest health and lowe s t levels of well-being. Other-oriented perfectionism was found to be unrelated to health and SWB. Findings revealed that when perfectionism is self-imposed (i.e., self-oriented perfectionism; SOP), i t is neither healthy nor unhealthy in an absolute sense. From the variable-centered perspective, this conclusion was supported by the f a c t tha t SOP was associated wi th both positive (e.g., be t t e r mental health and highe r levels of SWB in the student sample), and nega t ive correlates (e.g., higher levels of negative affect, stress, and neuroticism in both samples). Evidence f rom the chronically-ill sample further substantiated this conclusion by showing that there may be an optimal level of SOP, because mode r a t e levels of SOP we r e found to be associated with be t t e r health and highe r levels of SWB, whereas levels tha t we r e too low or too high we r e found to be associated with poor e r health and lowe r levels of SWB. Findings f rom the person-centered approach we r e particularly informative, in that they not only demonstrated tha t unique profiles of

Breaking the silence : exploring the workplace experiences of six women with learning disabilities

In the current economic climate, employees are expected to upgrade their skills in order to remain productive and competitive in the workplace, and many women with learning disabilities! may feel doubly challenged when dealing with such expectations. Although the number of people with reported learning disabilities who enter the workforce is expected to increase, a dearth of research focuses on work-related experiences of women with learning disabilities; consequently, employers and educators often are unaware ofthe obstacles and demands facing such individuals. This qualitative narrative study sheds light on the work experiences of women with diagnosed or suspected learning disabilities. The study used semistructured interviews to explore their perspectives and reflections on learnlng in order to: (a) raise awareness of the needs of women with learning disabilities, (b) enhance their opportunities to learn in the workplace, and (c) draw attention to the need for improvement of inclusiveness in the workplace, especially for hidden disabilities. Study findings reveal that participants' learning was influenced by work relationships, the learning environments, self-determination, and taking personal responsibility. Moreover, the main accommodation requested was to have supportive and understanding work relationships and environments. Recommendations are made for future research and workplace improvements, most notably that no employees should be left behind through an employee-centered approach.

Using a Bayesian model for bankruptcy prediction : a comparative approach

The purpose of this study is to examine the impact of the choice of cut-off points, sampling procedures, and the business cycle on the accuracy of bankruptcy prediction models. Misclassification can result in erroneous predictions leading to prohibitive costs to firms, investors and the economy. To test the impact of the choice of cut-off points and sampling procedures, three bankruptcy prediction models are assessed- Bayesian, Hazard and Mixed Logit. A salient feature of the study is that the analysis includes both parametric and nonparametric bankruptcy prediction models. A sample of firms from Lynn M. LoPucki Bankruptcy Research Database in the U. S. was used to evaluate the relative performance of the three models. The choice of a cut-off point and sampling procedures were found to affect the rankings of the various models. In general, the results indicate that the empirical cut-off point estimated from the training sample resulted in the lowest misclassification costs for all three models. Although the Hazard and Mixed Logit models resulted in lower costs of misclassification in the randomly selected samples, the Mixed Logit model did not perform as well across varying business-cycles. In general, the Hazard model has the highest predictive power. However, the higher predictive power of the Bayesian model, when the ratio of the cost of Type I errors to the cost of Type II errors is high, is relatively consistent across all sampling methods. Such an advantage of the Bayesian model may make it more attractive in the current economic environment. This study extends recent research comparing the performance of bankruptcy prediction models by identifying under what conditions a model performs better. It also allays a range of user groups, including auditors, shareholders, employees, suppliers, rating agencies, and creditors' concerns with respect to assessing failure risk.