912 resultados para EXPECTATIONS
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Expositions of student work at the end of the extended school year are one of many reform efforts in a specially formed School Improvement Zone in Miami Dade schools. This descriptive analysis offers examples of successful attempts to engender pride even in the face of formidable social and cultural obstacles.
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A factor analysis is presented which indicates that among 20 potential strategic issues reated by hotl industry executives three fundamental strategic directions exist. The author summarizes an empiracle study that queried these individuals' beliefs regarding strategic issues they rated at most important.
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This article is a reflection of a study conducted with active mature consumers who enjoy dining out, traveling, and patronizing the service industry in general. The goal was to discover their restaurant service expectations in order to provide restaurateurs, hoteliers, educators, and students of hospitality management programs information about this important customer segment so that future plans for improving service would include considerations of their service needs.
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We develop a new autoregressive conditional process to capture both the changes and the persistency of the intraday seasonal (U-shape) pattern of volatility in essay 1. Unlike other procedures, this approach allows for the intraday volatility pattern to change over time without the filtering process injecting a spurious pattern of noise into the filtered series. We show that prior deterministic filtering procedures are special cases of the autoregressive conditional filtering process presented here. Lagrange multiplier tests prove that the stochastic seasonal variance component is statistically significant. Specification tests using the correlogram and cross-spectral analyses prove the reliability of the autoregressive conditional filtering process. In essay 2 we develop a new methodology to decompose return variance in order to examine the informativeness embedded in the return series. The variance is decomposed into the information arrival component and the noise factor component. This decomposition methodology differs from previous studies in that both the informational variance and the noise variance are time-varying. Furthermore, the covariance of the informational component and the noisy component is no longer restricted to be zero. The resultant measure of price informativeness is defined as the informational variance divided by the total variance of the returns. The noisy rational expectations model predicts that uninformed traders react to price changes more than informed traders, since uninformed traders cannot distinguish between price changes caused by information arrivals and price changes caused by noise. This hypothesis is tested in essay 3 using intraday data with the intraday seasonal volatility component removed, as based on the procedure in the first essay. The resultant seasonally adjusted variance series is decomposed into components caused by unexpected information arrivals and by noise in order to examine informativeness.
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Peer reviewed
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Acknowledgements Sincere thanks are due to all who have contributed to this study, which was funded in part by the Local Authority. The Head Teacher and Local Authority Officer have been instrumental in encouraging and supporting the research and the teachers and pupils at the school, along with several local authority support staff, have contributed directly. Colleagues from the University of Aberdeen, including Prof Do Coyle, Dr Yvonne Bain, and Phil Marston, helped to guide the project and provided useful feedback.
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Peer reviewed
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Peer reviewed
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Peer reviewed
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Acknowledgements Sincere thanks are due to all who have contributed to this study, which was funded in part by the Local Authority. The Head Teacher and Local Authority Officer have been instrumental in encouraging and supporting the research and the teachers and pupils at the school, along with several local authority support staff, have contributed directly. Colleagues from the University of Aberdeen, including Prof Do Coyle, Dr Yvonne Bain, and Phil Marston, helped to guide the project and provided useful feedback.
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Peer reviewed
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Peer reviewed
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With rapid increases in student fees reflecting moves towards a QUASI Market model of Higher Education in the UK and across much of the Western World[1], many universities find themselves having to meet progressively higher levels of student expectations[2]. This is particularly the case at undergraduate level, where increases in fees over the past decade have far exceeded inflation. Yet with so much attention on ‘consumer savvy’ undergraduates, the question of whether Master’s level students’ expectations are matched by their experiences is one which remains largely unanswered. Grounded in an empirically grounded approach to learning and teaching developed by the paper authors[3], this paper sets out to being to answer this question. In doing so it makes a distinctive contribution to debates about graduate level engineering education and concludes with a number of recommendations. Discussion: The ‘MSc: Managing Expectations’ Project analyses the expectations and experiences of Graduate level Engineering Management Students over a two year period. Focusingon the ‘student experience’, three main concepts are identified as being particular relevant to enhancing learning [3]: Relationships: Variety: Synergy. Relationships: Based on empirical research, the significance of Relationships within the academic environment is discussed with particular attention being paid to the value of students’ social and academic support networks, including academic tutoring. Variety: Grounded in a statistical analysis of ‘engagement data’ together with survey and interview findings, the concept of variety critically examines students’ perspectives and experiencesof different approaches to learning and teaching. Synergy: Possibly the most important concept discussed within this paper, the need for constructively aligned curriculum is extended to reflect the students’ apriori knowledge and experienceas well as employer and societal demands and expectations. The conclusion brings the different concepts within the discussion together, providing a set of practical recommendations for colleagues working both at graduate and undergraduate level. References 1.Gibbs, P. (2001) "Higher education as a market: a problem or solution?." Studies in Higher Education 26. 1. pp. 85-94. 2.Tricker, T., (2005) Student Expectations-How do we measure up. University of Sheffield. Available from: http://www.persons.org.uk/tricker%20paper.pdf Accessed 9/10/14 3.Clark, R. & Andrews, J. (2014). Relationships, Variety & Synergy [RVS]: The Vital Ingredients for Scholarship in Engineering Education? A Case-Study. European Journal of Engineering Education. 39.6. pp. 585-600.
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Introdução: A prática de exercício físico, para além de combater o sedentarismo, contribui de forma significativa para a manutenção da aptidão física nos idosos, seja na sua vertente de saúde, como nas capacidades funcionais, e na melhoria das funções orgânicas e cognitivas, garantindo maior independência pessoal e prevenindo doenças. É essencial a tradução, adaptação e validação de instrumentos para Portugal que considerem a perceção do idoso em relação ao exercício físico, uma vez que não existem escalas que avaliem esta vertente na população portuguesa. Objetivos: Traduzir a MOEES para a língua portuguesa (português europeu); Adaptar transculturalmente a MOEES para a população portuguesa; Determinar as propriedades psicométricas da versão portuguesa da MOEES; Comparar as propriedades psicométricas da versão portuguesa da MOEES com a MOEES original; Verificar as expectativas dos idosos em relação aos resultados do exercício físico na melhora da sua qualidade de vida. Metodologia: A Adaptação transcultural da MOEES foi realizada segundo as guidelines da American Academy of Orthopaedic Surgeons, que consistiu em tradução inicial, síntese de traduções, retroversão e MOEES-VPT, e análise psicométrica (validade e fiabilidade). Foram incluídos no estudo 88 indivíduos, idosos, fisicamente ativos, maioritariamente do género feminino. Resultados: Segundo a análise estatística, a MOEES revelou ótima validade de constructo (KMO=0,879, TEB X2=1094,253 e variância total explicada=61,7%), muito boa consistência interna (α-Cronbach Geral= 0,928, α-Cronbach Dimensões entre 0,829 e 0,897) e reprodutibilidade (p=0,000 para todas as dimensões), tornando-se num instrumento válido, fiável e eficaz para a população portuguesa. Conclusão: A MOEES revelou ser um instrumento com boas propriedades psicométricas para a população portuguesa, uma vez que se obtiveram resultados iguais e superiores que a escala original.