Search results

Examines why MBA graduates are often accused of being over‐paid theorists whose knowledge of business is confined to the classroom and sterile case studies. Highlights deficiencies with certain types of MBA programme and the timing for careers. Provides a series of factors candidates should consider in selecting a programme and employers should consider before employing an MBA graduate.

Based on the aforementioned data, the risk index (RI) identifies the percentage of all students of a given racial/ethnic group in a given disability category. The RI is calculated by dividing the number of students in a given racial/ethnic group served in a given disability category (e.g. LD) by the total enrollment for that racial/ethnic group in the school population. The 1998 OCR data revealed risk indices for all racial/ethnic groups that were higher for LD than those found for MR. The NRC (2002) report stated that, “Asian/Pacific Islander have placement rates of 2.23%. Rates for all other racial/ethnic groups exceed 6%, and for American Indian/Alaskan Natives, the rate reached 7.45%” (p. 47). The second index, odds ratio, provides a comparative index of risk and is calculated by dividing the risk index on one racial/ethnic group by the risk index of another racial/ethnic group. In the OCR and OSEP databases, the odds ratios are reported relative to White students. If the risk index is identical for a particular minority group and White students, the odds ratio will equal 1.0. Odds ratios greater than 1.0 indicate that minority group students are at a greater risk of identification, while odds ratios of less than 1.0 indicate that they are less at risk. Using the 1998 OCR placement rates, the LD odds ratio for American Indian/Alaskan Natives is 1.24, showing that they have a 24% greater likelihood of being assigned to the LD category than White students. Odds ratios for Asian/Pacific Islander are low (0.37). For both Black and Hispanic students, the odds ratios are close to 1.0. The third index, composition index (CI), shows the proportion of all children served under a given disability category who are members of a given racial/ethnic group and is calculated by dividing the number of students of a given racial or ethnic group enrolled in a particular disability category. Two underlying assumptions of the CI are that the sum of composition indices for the five racial/ethnic groups will total 100%, and baseline enrollment of a given racial/ethnic group is not controlled. More specifically, the CI may be calculated using the percent of 6- through 21-year old population with the racial/ethnic composition of IDEA and U.S. census population statistics. For example, if 64% of the U.S. population is White, 15% is Black, 16% is Hispanic, 4% is Asian, and 1% is American Indian these data not interpretable without knowing the percentage of the racial/ethnic composition with IDEA. Hypothetically, IDEA data may show that of the 6–21 year olds served under IDEA, 63% are White, 20% are Black, 14% are Hispanic, 2% are Asian, and 1% is American Indian. To calculate disproportionality, a benchmark (e.g. 10%) against which to measure the difference between these percentages must be used. If the difference between the two percentages and the difference represented as a proportion of the group’s percent of population exceeds +10, then the racial/ethnic group is overrepresented. Conversely, if the difference between the two percentages and the difference represented as a proportion of the group’s percent of the population is larger than −10, then, the racial/ethnic group is underrepresented.

Investigates the differences in protocols between arbitral tribunals and courts, with particular emphasis on US, Greek and English law. Gives examples of each country and its way of using the law in specific circumstances, and shows the variations therein. Sums up that arbitration is much the better way to gok as it avoids delays and expenses, plus the vexation/frustration of normal litigation. Concludes that the US and Greek constitutions and common law tradition in England appear to allow involved parties to choose their own judge, who can thus be an arbitrator. Discusses e‐commerce and speculates on this for the future.

A case study of one university’s strategic approach to the promotion, support and resourcing of teaching and learning developments within the institution. This is set in the context of external requirements for quality assurance and the changing nature of higher education. Strategy is described in terms of policy development and implementation of new frameworks and support structures. A particular feature of the strategy is support for school‐based development and the appointment of school‐based teaching and learning co‐ordinates (TLCs). Explains the rationale for TLCs and the means by which they were introduced. Gives examples of how the TLC role works in practice. Identifies successes and pitfalls, as well as issues for further development.

This integrated care study seeks to highlight how voluntary sector “wellbeing co-ordinators” co-located in a horizontally and vertically integrated, multidisciplinary community hub within one locality of an Integrated Care Organisation contribute to complex, person-centred, co-ordinated care.

This is a naturalistic, mixed method and mixed data study. It is complementing a before-and-after study with a sub-group analysis of people receiving input from the wider hub (including Wellbeing Co-ordination and Enhanced Intermediate Care), qualitative case studies, interviews, and observations co-produced with embedded researchers-in-residence.

The cross-case analysis uses trajectories and outcome patterns across six client groups to illustrate the bio-psycho-social complexity of each group across the life course, corresponding with the range of inputs offered by the hub.

To consider the effectiveness and mechanisms of complex system-wide interventions operating at horizontal and vertical interfaces and researching this applying co-produced, embedded, naturalistic and mixed methods approaches.

How a bio-psycho-social approach by a wellbeing co-ordinator can contribute to improved person reported outcomes from a range of preventive, rehabilitation, palliative care and bereavement services in the community.

To combine knowledge about individuals held in the community to align the respective inputs, and expectations about outcomes while considering networked pathways based on functional status, above diagnostic pathways, and along a life-continuum.

The hub as a whole seems to (1) Enhance engagement through relationship, trust and activation, (2) Exchanging knowledge to co-create a shared bio-psycho-social understanding of each individual’s situation and goals, (3) Personalising care planning by utilising the range of available resources to ensure needs are met, and (4) Enhancing co-ordination and ongoing care through multi-disciplinary working between practitioners, across teams and sectors.