993 resultados para Multilevel Model


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Clustered data analysis is characterized by the need to describe both systematic variation in a mean model and cluster-dependent random variation in an association model. Marginalized multilevel models embrace the robustness and interpretations of a marginal mean model, while retaining the likelihood inference capabilities and flexible dependence structures of a conditional association model. Although there has been increasing recognition of the attractiveness of marginalized multilevel models, there has been a gap in their practical application arising from a lack of readily available estimation procedures. We extend the marginalized multilevel model to allow for nonlinear functions in both the mean and association aspects. We then formulate marginal models through conditional specifications to facilitate estimation with mixed model computational solutions already in place. We illustrate this approach on a cerebrovascular deficiency crossover trial.

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Systemic sclerosis (SSc) or Scleroderma is a complex disease and its etiopathogenesis remains unelucidated. Fibrosis in multiple organs is a key feature of SSc and studies have shown that transforming growth factor-β (TGF-β) pathway has a crucial role in fibrotic responses. For a complex disease such as SSc, expression quantitative trait loci (eQTL) analysis is a powerful tool for identifying genetic variations that affect expression of genes involved in this disease. In this study, a multilevel model is described to perform a multivariate eQTL for identifying genetic variation (SNPs) specifically associated with the expression of three members of TGF-β pathway, CTGF, SPARC and COL3A1. The uniqueness of this model is that all three genes were included in one model, rather than one gene being examined at a time. A protein might contribute to multiple pathways and this approach allows the identification of important genetic variations linked to multiple genes belonging to the same pathway. In this study, 29 SNPs were identified and 16 of them located in known genes. Exploring the roles of these genes in TGF-β regulation will help elucidate the etiology of SSc, which will in turn help to better manage this complex disease. ^

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This paper assesses the impact of climate change on China's agricultural production at a cross-provincial level using the Ricardian approach, incorporating a multilevel model with farm-level group data. The farm-level group data includes 13379 farm households, across 316 villages, distributed in 31 provinces. The empirical results show that, firstly, the marginal effects and elasticities of net crop revenue per hectare with respect to climate factors indicated that the annual impact of temperature on net crop revenue per hectare was positive, and the effect of increased precipitation was negative when looking at the national totals; secondly, the total impact of simulated climate change scenarios on net crop revenues per hectare at a Chinese national total level, was an increase of between 79 USD per hectare and 207 USD per hectare for the 2050s, and an increase from 140 USD per hectare to 355 USD per hectare for the 2080s. As a result, climate change may create a potential advantage for the development of Chinese agriculture, rather than a risk, especially for agriculture in the provinces of the Northeast, Northwest and North regions. However, the increased precipitation can lead to a loss of net crop revenue per hectare, especially for the provinces of the Southwest, Northwest, North and Northeast regions.

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This study advances research on interpersonal exchange relationships by integrating social exchange, workplace friendship and climate research to develop a multilevel model. Data were collected from 215 manager-employee dyads working within 36 teams. At the individual level, LMX was positively associated with TMX and workplace friendship. Further, workplace friendship was positively related to TMX, and mediated the LMX-TMX relationship. At the team level, HLM results demonstrated that the relationship between LMX and workplace friendship was moderated by affective climate. Findings suggest that high-quality LMX relationships are associated with enhanced employees' perceptions of workplace friendship when affective group climate was strong.

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The literature on policies, procedures, and practices of diversity management in organizations is currently fragmented and often contradictory in highlighting what is effective diversity management, and which organizational and societal factors facilitate or hinder its implementation. In order to provide a comprehensive and cohesive view of diversity management in organizations, we develop a multilevel model informed by the social identity approach that explains, on the basis of a work motivation logic, the processes by, and the conditions under which employee dissimilarity within diverse work groups is related to innovation, effectiveness, and well-being. Building on this new model, we then identify those work group factors (e.g., climate for inclusion and supervisory leadership), organizational factors (e.g., diversity management policies and procedures, and top management's diversity beliefs), and societal factors (e.g., legislation, socioeconomic situation, and culture) that are likely to contribute to the effective management of diversity in organizations. In our discussion of the theoretical implications of the proposed model, we offer a set of propositions to serve as a guide for future research. We conclude with a discussion of possible limitations of the model and practical implications for managing diversity in organizations. © 2014 Taylor & Francis.

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Research has looked at single rather than a configuration of human resource management (HRM) practices to influence creativity so it is not yet clear how these practices synergistically facilitate creativity and organisational performance. I address this significant but unanswered question in a three-part study. In Study 1, I develop a high performance work system (HPWS) for creativity scale. I use Study 2 sample to test the validity of the new scale. In Study 3, I test a multilevel model of the intervening processes through which branch HPWS for creativity influences creativity and branch performance. Specifically, at the branch level, I draw on social context theory and hypothesise that branch HPWS for creativity relates to climate for creativity which, in turn, leads to creativity, and ultimately, to profit. Furthermore, I hypothesise environmental dynamism as a boundary condition of the creativity-profit relationship. At the individual level, I hypothesise a cross-level effect of branch HPWS for creativity on employee-perceived HPWS. I draw on self-determination theory and argue that perceived HPWS for creativity relate to need satisfaction and the psychological pathways of intrinsic motivation and creative process engagement to predict creativity. I also hypothesise climate for creativity as a cross-level moderator of the intrinsic motivation-creativity and creative process engagement-creativity relationships. Results of hierarchical linear modeling (HLM) indicate that ten out of the fifteen hypotheses were supported. The findings of this study respond to calls for HPWS to be designed around a strategic focus by developing and providing initial validity evidence of an HPWS for creativity scale. The results reveal the underlying mechanisms through which HPWS for creativity simultaneously influences individual and branch creativity leading to profit. Lastly, results indicate environmental dynamism to be an important boundary condition of the creativity-profit relationship and climate for creativity as a cross-level moderator of the creative process engagement-creativity.

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As is known, the Kyoto Protocol proposes to reinforce national policies for emission reduction and, furthermore, to cooperate with other contracting parties. In this context, it would be necessary to assess these emissions, both in general and specifically, by pollutants and/or among productive sectors. The object of this paper is precisely to estimate the polluting emissions of industrial origin in Catalonia in the year 2001, in a multivariate context which explicitly allows a distinction to be made between the polluter and/or the productive sector causing this emission. Six pollutants considered, four directly related to greenhouse effect. A multi-level model, with two levels, pollutants and productive sectors, was specified. Both technological progress and elasticity of capital were introduced as random effects. Hence, it has been permitted that these coefficients vary according to one or other level. The most important finding in this paper is that elasticity of capital has been estimated as very non-elastic, with a range which varies between 0.162 (the paper industry) and 0.556 (commerce). In fact, and generally speaking, the greater capital the sector has, the less elasticity of capital has been estimated. Key words: Kyoto protocol, multilevel model, technological progress

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PURPOSE: To predict the risk of an adolescent patient to miss an appointment, based on the previous appointments and on the characteristics of the patient and the appointment. METHODS: Two thousand one hundred ninety-three (1873 females) patients aged 12 to 20 years having scheduled at least four appointments were included. We assessed the rate of missed nonexcused appointments of each patient. Second, a Markovian multilevel model was used to predict the risk of defaulting. RESULTS: Forty-five percent of the patients have not missed even once, and 14% of females and 17% of males have missed >25% of their appointments. Females show two types of behaviors (an abstract concept that groups individuals based on a combination of their appointment-keeping and their recorded type of healthcare need) depending on the diagnosis. Somatic, gynecology, violence, and counseling diagnoses are mostly grouped together. In this group, having already missed and having an appointment with a paramedical provider increases the risk of missing. In the second group (eating disorders and psychiatric diagnoses) having already missed and a longer delay between appointments influence the risk of missing, although the risk is lower for this latter group. Males only show one type of behavior regarding missed appointments. Having missed a previous appointment, being older, having cancelled the next to last appointment and the type of diagnosis explain the risk of missing. CONCLUSIONS: Patients who have already defaulted have a higher risk of defaulting again. Means of control regarding missed appointments should consequently focus on defaulters, to decrease the associated workload. Reminders could be a solution for the follow-up appointments scheduled with a long delay.

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Quality of municipal public spending on primary education in Brazil. The focus of this paper was to analyze the relationship between municipal public education spending and students' academic achievement, evaluated according to IDEB (Index of Basic Education Development) of 2005. The following databases were used: School Census 2005, Brazil Exam (mathematics evaluation applied to students from fourth grade of elementary school) and Finance of Brazil (FINBRA). A multilevel model was estimated and the results suggest that simply increasing the percentage of municipal expenditures on education or the percentage of spending on primary education in relation to municipal expenditures on education do not automatically guarantee improvements in the quality of education.

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We investigate the changes in women’s employment patterns across EU countries over the last 20 years both in terms of labour market participation and type of jobs using individual data from ECHP and EUSILC databases. Using a logistic multilevel model, we then pin down the role played by institutional and policy changes in explaining women’s employment. The key results indicate that women’s employment trends are related to the institutional and policy changes that have been introduced in almost all European countries since the end of the 1990s. Such changes had an important impact on the labour market opportunities’ of women by affecting the quality of potential jobs available, the chances to (re-)enter the labour market and the opportunity costs of employment (vs. non-employment).

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The tensile strength of 576 pieces of white line horn collected over 6 mo from 14 dairy cows restricted to parity 1 or 2 was tested. None of the cows had ever been lame. Seven cows were randomly assigned to receive 20 mg/d biotin supplementation, and 7 were not supplemented. Hoof horn samples were taken from zones 2 and 3 (the more proximal and distal sites of the abaxial white line) of the medial and lateral claws of both hind feet on d 1 and on 5 further occasions over 6 mo. The samples were analyzed at 100% water saturation. Hoof slivers were notched to ensure that tensile strength was measured specifically across the white line region. The tensile stress at failure was measured in MPa and was adjusted for the cross-sectional area of the notch site. Data were analyzed in a multilevel model, which accounted for the repeated measures within cows. All other variables were entered as fixed effects. In the final model, there was considerable variation in strength over time. Tensile strength was significantly higher in medial compared with lateral claws, and zone 2 was significantly stronger than zone 3. Where the white line was visibly damaged the tensile strength was low. Biotin supplementation did not affect the tensile strength of the white line. Results of this study indicate that damage to the white line impairs its tensile strength and that in horn with no visible abnormality the white line is weaker in the lateral hind claw than the medial and in zone 3 compared with zone 2. The biomechanical strength was lowest at zone 3 of the lateral hind claw, which is the most common site of white line disease lameness in cattle.

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No presente trabalho, simulamos as propriedades de transporte e espectro de absorção do composto orgânico Vermelho de Etila. Este é o primeiro estudo teórico de um indicador específico de pH utilizado como nanodispositivo, com base na teoria quântica e no modelo de transporte não-difuso. A distribuição de carga ao longo da molécula é determinada através da técnica, Ab initio, como uma função de um campo elétrico externo. Baseado em um modelo de multiníveis ressonantes também calculamos a corrente como função da tensão de polarização. O acúmulo de carga e a corrente apresentam comportamento semelhante, como a condução do tipo ressonante e curvas carga-tensão e corrente-tensão assimétricas. Os principais resultados sugerem que o sistema presente poderia funcionar como um transistor molecular bi-direcional. Estendemos esta metodologia de análise para outro dispositivo molecular, mas composto de três terminais. Para este sistema, nossa descoberta principal é a resistência diferencial negativa (RDN) na carga Q como uma função do campo elétrico externo. Para explicar este efeito RDN, aplicamos um modelo capacitivo fenomenológico, também baseado em um sistema de multiníveis localizados (que podem ser os LUMOs – Lowest Unoccupied Molecular Orbital – Orbitais moleculares desocupados mais baixos). A capacitância descreve, por efeito de carregamento, a causa do bloqueio de Coulomb (BC) no transporte. Mostramos que o efeito BC dá origem a uma RDN para um conjunto adequado de parâmetros fenomenológicos como: taxa de tunelamento e energia de carregamento. O perfil da RDN obtida nas duas metodologias, ab initio e fenomenológica, estão em comum acordo.

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Quality of municipal public spending on primary education in Brazil. The focus of this paper was to analyze the relationship between municipal public education spending and students' academic achievement, evaluated according to IDEB (Index of Basic Education Development) of 2005. The following databases were used: School Census 2005, Brazil Exam (mathematics evaluation applied to students from fourth grade of elementary school) and Finance of Brazil (FINBRA). A multilevel model was estimated and the results suggest that simply increasing the percentage of municipal expenditures on education or the percentage of spending on primary education in relation to municipal expenditures on education do not automatically guarantee improvements in the quality of education.

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Die meisten Studien der empirischen Wahlforschung führen das Wählverhalten bei deutschen Bundestagswahlen gemäß den bewährten Erklärungsansätzen (Columbia School, Cleavage-Theorie, Michigan School, …) auf Faktoren der Individualebene zurück. Nur wenige analysieren darüber hinaus den Einfluss räumlicher Kontextmerkmale. Diese Beiträge gelangen zudem zu widersprüchlichen Befunden, z.B. darüber, welcher Anteil der Gesamtvarianz überhaupt durch Kontextfaktoren erklärt werden kann. Daher will die vorliegende Arbeit klären, inwiefern die soziale Komposition des räumlichen Kontexts über individuelle Merkmale der Wähler hinaus ihre individuelle Wahlentscheidung bei der Bundestagswahl 2009 beeinflusst hat. Dazu wird zunächst ein räumliches Mehrebenen-Modell des individuellen Wahlverhaltens entwickelt, das den Einfluss von Kontextmerkmalen u.a. auf soziale Interaktionsmechanismen innerhalb der Kontexteinheiten zurückführt. Zudem werden die zentralen individuellen Erklärungsfaktoren der oben genannten Theorien (Parteiidentifikation, Kandidaten-, Sachfragen-Orientierung, soziale Gruppenzugehörigkeit) in das Modell integriert. Auf Grundlage von Daten der German Longitudinal Election Study werden anschließend logistische Mehrebenen-Modelle für die alten und erstmals auch für die neuen Bundesländer und Deutschland geschätzt. Erstmals werden zudem Wahlkreise als relevante Kontexteinheiten untersucht. Es zeigt sich, dass ein kleiner Teil der Varianz der individuellen Wahlentscheidung allein auf Merkmale des Wahlkreises zurückgeführt werden kann. Es treten sowohl direkte Kontexteffekte als auch Mehrebenen-Interaktionseffekte auf, die sich jedoch in ihrer Wirkung zwischen den Regionen und auch zwischen den Parteien erheblich unterscheiden.