919 resultados para Primary data


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We describe here a method of assessment for students. A number of short-comings of traditional assessment methods, especially essays and examinations, are discussed and an alternative assessment method, the student project, is suggested. The method aims not just to overcome the short-comings of more traditional methods, but also to provide over-worked and under-resourced academics with viable primary data for socio-legal research work. Limitations to the method are discussed, with proposals for minimising the impact of these limitations. The whole �student project� approach is also discussed with reference to the Quality Assurance Agency benchmark standards for law degrees, standards which are expected of all institutions in the UK.

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Purpose – This paper aims to examine the antecedent influences and merits of workplace occupations as a tactical response to employer redundancy initiatives.

Design/methodology/approach – The data are based on analysis of secondary documentary material reporting on three workplace occupations in the Republic of Ireland during 2009.

Findings – Perceptions of both procedural (e.g. employer unilateral action) and substantive (e.g. pay and entitlements) justice appear pivotal influences. Spillover effects from other known occupations may also be influential. Workplace occupations were found to produce some modest substantive gains, such as enhancing redundancy payments. The tactic of workplace occupation was also found to transform unilateral employer action into scenarios based upon negotiated settlement supported by third-party mediation. However the tactic of workplace occupation in response to redundancy runs the risks of potential judicial injunction and sanction.

Research limitations/implications – Although operationally difficult, future studies should strive to collect primary data workplace occupations as they occur.

Originality/value – The paper identifies conditions conducive to the genesis of workplace occupations and the extent to which the tactic may be of benefit in particular circumstances to workers facing redundancy. It also contextualises the tactic in relation to both collective mobilisation and bargaining theories in employment relations.

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Nitrogen Dioxide (NO2) is known to act as an environmental trigger for many respiratory illnesses. As a pollutant it is difficult to map accurately, as concentrations can vary greatly over small distances. In this study three geostatistical techniques were compared, producing maps of NO2 concentrations in the United Kingdom (UK). The primary data source for each technique was NO2 point data, generated from background automatic monitoring and background diffusion tubes, which are analysed by different laboratories on behalf of local councils and authorities in the UK. The techniques used were simple kriging (SK), ordinary kriging (OK) and simple kriging with a locally varying mean (SKlm). SK and OK make use of the primary variable only. SKlm differs in that it utilises additional data to inform prediction, and hence potentially reduces uncertainty. The secondary data source was Oxides of Nitrogen (NOx) derived from dispersion modelling outputs, at 1km x 1km resolution for the UK. These data were used to define the locally varying mean in SKlm, using two regression approaches: (i) global regression (GR) and (ii) geographically weighted regression (GWR). Based upon summary statistics and cross-validation prediction errors, SKlm using GWR derived local means produced the most accurate predictions. Therefore, using GWR to inform SKlm was beneficial in this study.

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In order to achieve progress towards sustainable resource management, it is essential to evaluate options for the reuse and recycling of secondary raw materials, in order to provide a robust evidence base for decision makers. This paper presents the research undertaken in the development of a web-based decision-support tool (the used tyres resource efficiency tool) to compare three processing routes for used tyres compared to their existing primary alternatives. Primary data on the energy and material flows for the three routes, and their alternatives were collected and analysed. The methodology used was a streamlined life-cycle assessment (sLCA) approach. Processes included were: car tyre baling against aggregate gabions; car tyre retreading against new car tyres; and car tyre shred used in landfill engineering against primary aggregates. The outputs of the assessment, and web-based tool, were estimates of raw materials used, carbon dioxide emissions and costs. The paper discusses the benefits of carrying out a streamlined LCA and using the outputs of this analysis to develop a decision-support tool. The strengths and weakness of this approach are discussed and future research priorities identified which could facilitate the use of life cycle approaches by designers and practitioners.

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This paper estimates the marginal willingness-to-pay for attributes of a hypothetical HIV vaccine using discrete choice modeling. We use primary data from 326 respondents from Bangkok and Chiang Mai, Thailand, in 2008–2009, selected using purposive, venue-based sampling across two strata. Participants completed a structured questionnaire and full rank discrete choice modeling task administered using computer-assisted personal interviewing. The choice experiment was used to rank eight hypothetical HIV vaccine scenarios, with each scenario comprising seven attributes (including cost) each of which had two levels. The data were analyzed in two alternative specifications: (1) best-worst; and (2) full-rank, using logit likelihood functions estimated with custom routines in Gauss matrix programming language. In the full-rank specification, all vaccine attributes are significant predictors of probability of vaccine choice. The biomedical attributes of the hypothetical HIV vaccine (efficacy, absence of VISP, absence of side effects, and duration of effect) are the most important attributes for HIV vaccine choice. On average respondents are more than twice as likely to accept a vaccine with 99% efficacy, than a vaccine with 50% efficacy. This translates to a willingness to pay US$383 more for a high efficacy vaccine compared with the low efficacy vaccine. Knowledge of the relative importance of determinants of HIV vaccine acceptability is important to ensure the success of future vaccination programs. Future acceptability studies of hypothetical HIV vaccines should use more finely grained biomedical attributes, and could also improve the external validity of results by including more levels of the cost attribute.

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Mineral exploration programmes around the world use data from remote sensing, geophysics and direct sampling. On a regional scale, the combination of airborne geophysics and ground-based geochemical sampling can aid geological mapping and economic minerals exploration. The fact that airborne geophysical and traditional soil-sampling data are generated at different spatial resolutions means that they are not immediately comparable due to their different sampling density. Several geostatistical techniques, including indicator cokriging and collocated cokriging, can be used to integrate different types of data into a geostatistical model. With increasing numbers of variables the inference of the cross-covariance model required for cokriging can be demanding in terms of effort and computational time. In this paper a Gaussian-based Bayesian updating approach is applied to integrate airborne radiometric data and ground-sampled geochemical soil data to maximise information generated from the soil survey, to enable more accurate geological interpretation for the exploration and development of natural resources. The Bayesian updating technique decomposes the collocated estimate into a production of two models: prior and likelihood models. The prior model is built from primary information and the likelihood model is built from secondary information. The prior model is then updated with the likelihood model to build the final model. The approach allows multiple secondary variables to be simultaneously integrated into the mapping of the primary variable. The Bayesian updating approach is demonstrated using a case study from Northern Ireland where the history of mineral prospecting for precious and base metals dates from the 18th century. Vein-hosted, strata-bound and volcanogenic occurrences of mineralisation are found. The geostatistical technique was used to improve the resolution of soil geochemistry, collected one sample per 2 km2, by integrating more closely measured airborne geophysical data from the GSNI Tellus Survey, measured over a footprint of 65 x 200 m. The directly measured geochemistry data were considered as primary data in the Bayesian approach and the airborne radiometric data were used as secondary data. The approach produced more detailed updated maps and in particular maximized information on mapped estimates of zinc, copper and lead. Greater delineation of an elongated northwest/southeast trending zone in the updated maps strengthened the potential to investigate stratabound base metal deposits.

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The primary purpose of the BASE Project was to establish how to help individuals with Autism Spectrum Disorder out of poverty by promoting social inclusion. In order to achieve this, a range of methodologies were utilised that aimed to provide a baseline against which the effect of the Autism Act (NI) 2011 and the associated Autism Strategy (2013-2020) and Action Plans can be measured. The BASE Project is reported in 5 volumes. Volume 2 reports on the analysis of the autism module of the Northern Ireland Life and Times (NILT) Survey that assessed public awareness, attitudes, knowledge, and projected behaviours with regard to individuals with ASD (all primary data and technical reports are available at www.ark.ac.uk/nilt/).

The NILT (2012) survey first ever autism module (n=1204) offered a baseline against which the impact of new autism legislation, policies, and strategies can be measured. Key findings:

• 82% awareness: Most people in Northern Ireland are aware of autism (n=989).
• 50% of all participants knew someone with autism personally (n=606).

Of those who were aware of autism:
• 19% had a close family member with autism (n=186), and/or a friends/acquaintance (n=296), and/or a work colleague (n=79) with autism.
• Autism awareness was particularly low for those from ethnic minorities and those with no internet access.
• Awareness of autism specific legislation was low (20%).
• Good levels of knowledge about autism strengths and challenges, slight tendency to overestimate the occurrence of special talents.
• Prevalence of autism was underestimated (62% thought autism was much less prevalent than official figures or did not know).
• Fairly accurate perception about causes of autism, i.e., not caused by poor parenting (84%).
• Strong support for evidence-based behavioural interventions (77%), but confusion about interventions that are not evidence-based (64%).
• Strong positive attitudes towards children and adults in social, educational and employment settings.
• Autism not viewed as necessarily ‘lifelong’ (58%); support for independent living (78%), e.g., driving a car (83%).
• More business for employers who employ people with autism (12%).
• Strong support for families caring rather than residential care (64%).
• Confusion about service responsibility: education (26%) health (33%) or both (28%).

Given increasing prevalence rates of ASD it is important that the general population is aware of autism and able to respond responsibly to the associated strengths and challenges. The results of the NILT (2012) first ever autism module show that the general public was well aware of autism, had positive attitudes, and was relatively knowledgeable about the issues faced by individuals and families affected directly. However, there was a lack of clarity about responsibility for effective service delivery. The NILT results show that a shift in focus is necessary from ‘awareness raising campaigns’ to an approach that delivers clarity with regard to intervention and accountability.

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O estudo do comportamento do consumidor turista é a chave para descodificar todas as atividades de marketing, usadas para desenvolver, comunicar e vender um produto turístico. A maximização destas atividades depende da compreensão da forma como os consumidores tomam as decisões para comprar ou utilizar os produtos turísticos (Swarbrooke e Horner, 1999). Deste modo, torna-se fundamental conhecer e compreender este tipo de turista, identificando as suas necessidades e, desta forma, criar novos pacotes de produtos, escolher os melhores canais de comunicação, estabelecer contactos com os operadores certos, de modo a adequar a oferta à procura. Assim, de forma a dar resposta às questões anteriormente definidas, foi elaborado o presente estudo, o qual tinha como objetivo principal identificar o perfil dos enoturistas, bem como as dimensões das motivações (push e pull) que estão relacionadas com a satisfação e, por conseguinte, com a sua lealdade. Deste modo foi realizada uma extensa revisão da literatura de referência nas áreas da motivação, satisfação, lealdade e dos modelos de decisão de compra, tendo especial atenção à tipologia do turista em causa. Resultante da revisão da literatura, e nela apoiada, foi construído um modelo de investigação que estabelece que as motivações (push e pull) influenciam positivamente a satisfação e, consequentemente, a lealdade ao destino e aos produtos do destino. Com o intuito de validar o modelo de investigação, foi realizado um estudo empírico que incluiu a recolha de dados primários, a partir de um questionário administrado com o apoio de algumas unidades de Turismo do Douro. Assim, a partir de uma amostra de 519 turistas, o estudo chama a atenção para a importância das motivações internas e externas na lealdade ao destino e aos produtos do destino. Deste modo, este estudo indica que os responsáveis das diferentes organizações do destino devem dar especial atenção aos fatores motivacionais internos, Reencontro com a Natureza (REN), Novidade e Conhecimento (NC), Relaxamento (REL) e Socialização (SOC) dado que estes fatores influenciam positivamente as motivações pull, as quais foram medidas através da Oferta de Atividades Enoturísticas (OAE), da Diversidade e Qualidade Gastronómica (DQG) e da Reputação da Região (RR), o que segundo o modelo testado faz aumentar a lealdade aos produtos da região. Por outro lado, os resultados fornecem evidências de que as Motivações Externas deste tipo de turista estão intimamente associadas com a vantagem competitiva da região. Por último, apresentam-se algumas das limitações inerentes ao estudo e sugerem-se pistas para a investigação futura que prossigam e complementem o presente trabalho.

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The aim of this paper is to present a definition of literary literacy in the context of majors in languages, literatures and cultures, in Portugal. A definition of literary literacy was deduced from a content analysis of primary data sources and from the theoretical underpinnings of the transactional theory of reading. The primary data sources are fourteen Portuguese and English literature syllabuses from four Portuguese universities (Lisboa, Nova, Coimbra and Porto) and twelve interviews with Portuguese university lecturers of literature. Based on the findings of a content analysis of both syllabuses and interviews, from the lecturers‘ point of view, a literary literate student doing a major in languages, literatures and cultures must, above all, be able to contextualize literary texts and their authors both historically and culturally, must be able to present an interpretation as a coherent text, and must be able to do and organize bibliographical research.

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This chapter focuses on the use of social capital as a construct to examine and explain the formation and operation of inter-organizational partnerships. In particular it shows how social capital contributes to the sustainability of a public sector partnership. In this research context social capital is defined as the networks, trust, norms and values that enable individuals and organizations to achieve mutual goals through collaboration. This definition draws upon the author’s empirical research on partnerships and partnership working in the field of post-compulsory education and her practical experience of establishing, managing and leading international partnerships for teaching and research in teacher education. The emphasis is on the practical application of social capital to qualitative data and on identifying sources of evidence, including research literature from different disciplines in the social sciences to interpret and theorize primary data. The first section of the chapter considers the complexities of defining social capital in the context of rival theoretical and political perspectives and leads to a discussion of the dimensions of social capital that are found in effective and sustained partnerships.

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Tese de doutoramento, Geografia (Planeamento Regional e Urbano), Universidade de Lisboa, Instituto de Geografia e Ordenamento do Território, 2016

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Orientada por: Prof. Doutora Cláudia Lopes

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Trabalho de projecto apresentado à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Publicidade e Marketing.

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Dissertação apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do Grau de Mestre em Empreendedorismo e Internacionalização Orientador: Professor Doutor José de Freitas Santos

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Motivations/barriers to participate in ITF