963 resultados para Generalised Linear Modeling


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Plusieurs études se sont intéressées aux conséquences des comportements adoptés par les entraîneurs. Un comportement n’a cependant pas reçu l’attention méritée : la rétroaction négative. Pourtant, cette rétroaction est à la fois essentielle aux progrès et porteuse de conséquences négatives potentielles (Brewer, et al. 1991; Kluger & DeNisi, 1996). Le présent mémoire propose que la qualité de la rétroaction négative est déterminante dans les conséquences vécues par les athlètes. Une étude corrélationnelle a été menée auprès de 315 athlètes et 54 entraîneurs. Des analyses multiniveaux ont confirmé qu’une rétroaction négative de qualité doit soutenir l’autonomie des athlètes, et six caractéristiques définissant une telle rétroaction ont été identifiées. Il a aussi été démontré que la qualité de la rétroaction négative prédit l’expérience phénoménologique et les performances des athlètes au-delà de la quantité de rétroaction et du style interpersonnel de l’entraîneur. Les implications théoriques et pratiques de ces résultats sont discutées.

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De nombreuses études sur l’évolution de la motivation pour les mathématiques sont disponibles et il existe également plusieurs recherches qui se sont penchées sur la question de la différence motivationnelle entre les filles et les garçons. Cependant, aucune étude n’a tenu compte de la séquence scolaire des élèves en mathématiques pour comprendre le changement motivationnel vécu pendant le second cycle du secondaire, alors que le classement en différentes séquences est subi par tous au secondaire au Québec. Le but principal de cette étude est de documenter l’évolution de la motivation pour les mathématiques des élèves du second cycle du secondaire en considérant leur séquence de formation scolaire et leur sexe. Les élèves ont été classés dans deux séquences, soit celle des mathématiques de niveau de base (416-514) et une autre de niveau de mathématiques avancé (436-536). Trois mille quatre cent quarante élèves (1864 filles et 1576 garçons) provenant de 30 écoles secondaires publiques francophones de la grande région de Montréal ont répondu à cinq reprises à un questionnaire à items auto-révélés portant sur les variables motivationnelles suivantes : le sentiment de compétence, l’anxiété de performance, la perception de l’utilité des mathématiques, l’intérêt pour les mathématiques et les buts d’accomplissement. Ces élèves étaient inscrits en 3e année du secondaire à la première année de l’étude. Ils ont ensuite été suivis en 4e et 5e année du secondaire. Les résultats des analyses à niveaux multiples indiquent que la motivation scolaire des élèves est généralement en baisse au second cycle du secondaire. Cependant, cette diminution est particulièrement criante pour les élèves inscrits dans les séquences de mathématiques avancées. En somme, les résultats indiquent que les élèves inscrits dans les séquences avancées montrent des diminutions importantes de leur sentiment de compétence au second cycle du secondaire. Leur anxiété de performance est en hausse à la fin du secondaire et l’intérêt et la perception de l’utilité des mathématiques chutent pour l’ensemble des élèves. Les buts de maîtrise-approche sont également en baisse pour tous et les élèves des séquences de base maintiennent généralement des niveaux plus faibles. Une diminution des buts de performance-approche est aussi retrouvée, mais cette dernière n’atteint que les élèves dans les séquences de formation avancées. Des hausses importantes des buts d’évitement du travail sont retrouvées pour les élèves des séquences de mathématiques avancées à la fin du secondaire. Ainsi, les élèves des séquences de mathématiques avancées enregistrent la plus forte baisse motivationnelle pendant le second cycle du secondaire bien qu’ils obtiennent généralement des scores supérieurs aux élèves des séquences de base. Ces derniers maintiennent généralement leur niveau motivationnel. La différence motivationnelle entre les filles et les garçons ne sont pas souvent significatives, malgré le fait que les filles maintiennent généralement un niveau motivationnel inférieur à celui des garçons, et ce, par rapport à leur séquence de formation respective. En somme, les résultats de la présente étude indiquent que la diminution de la motivation au second cycle du secondaire pour les mathématiques touche principalement les élèves des séquences avancées. Il paraît ainsi pertinent de considérer la séquence scolaire dans les études sur l’évolution de la motivation, du moins en mathématiques. Il semble particulièrement important d’ajuster les interventions pédagogiques proposées aux élèves des séquences avancées afin de faciliter leur transition en mathématiques de quatrième secondaire.

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Time series regression models are especially suitable in epidemiology for evaluating short-term effects of time-varying exposures on health. The problem is that potential for confounding in time series regression is very high. Thus, it is important that trend and seasonality are properly accounted for. Our paper reviews the statistical models commonly used in time-series regression methods, specially allowing for serial correlation, make them potentially useful for selected epidemiological purposes. In particular, we discuss the use of time-series regression for counts using a wide range Generalised Linear Models as well as Generalised Additive Models. In addition, recently critical points in using statistical software for GAM were stressed, and reanalyses of time series data on air pollution and health were performed in order to update already published. Applications are offered through an example on the relationship between asthma emergency admissions and photochemical air pollutants

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The objective of this paper is to introduce a diVerent approach, called the ecological-longitudinal, to carrying out pooled analysis in time series ecological studies. Because it gives a larger number of data points and, hence, increases the statistical power of the analysis, this approach, unlike conventional ones, allows the complementation of aspects such as accommodation of random effect models, of lags, of interaction between pollutants and between pollutants and meteorological variables, that are hardly implemented in conventional approaches. Design—The approach is illustrated by providing quantitative estimates of the short-termeVects of air pollution on mortality in three Spanish cities, Barcelona,Valencia and Vigo, for the period 1992–1994. Because the dependent variable was a count, a Poisson generalised linear model was first specified. Several modelling issues are worth mentioning. Firstly, because the relations between mortality and explanatory variables were nonlinear, cubic splines were used for covariate control, leading to a generalised additive model, GAM. Secondly, the effects of the predictors on the response were allowed to occur with some lag. Thirdly, the residual autocorrelation, because of imperfect control, was controlled for by means of an autoregressive Poisson GAM. Finally, the longitudinal design demanded the consideration of the existence of individual heterogeneity, requiring the consideration of mixed models. Main results—The estimates of the relative risks obtained from the individual analyses varied across cities, particularly those associated with sulphur dioxide. The highest relative risks corresponded to black smoke in Valencia. These estimates were higher than those obtained from the ecological-longitudinal analysis. Relative risks estimated from this latter analysis were practically identical across cities, 1.00638 (95% confidence intervals 1.0002, 1.0011) for a black smoke increase of 10 μg/m3 and 1.00415 (95% CI 1.0001, 1.0007) for a increase of 10 μg/m3 of sulphur dioxide. Because the statistical power is higher than in the individual analysis more interactions were statistically significant,especially those among air pollutants and meteorological variables. Conclusions—Air pollutant levels were related to mortality in the three cities of the study, Barcelona, Valencia and Vigo. These results were consistent with similar studies in other cities, with other multicentric studies and coherent with both, previous individual, for each city, and multicentric studies for all three cities

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Els estudis de supervivència s'interessen pel temps que passa des de l'inici de l'estudi (diagnòstic de la malaltia, inici del tractament,...) fins que es produeix l'esdeveniment d'interès (mort, curació, millora,...). No obstant això, moltes vegades aquest esdeveniment s'observa més d'una vegada en un mateix individu durant el període de seguiment (dades de supervivència multivariant). En aquest cas, és necessari utilitzar una metodologia diferent a la utilitzada en l'anàlisi de supervivència estàndard. El principal problema que l'estudi d'aquest tipus de dades comporta és que les observacions poden no ser independents. Fins ara, aquest problema s'ha solucionat de dues maneres diferents en funció de la variable dependent. Si aquesta variable segueix una distribució de la família exponencial s'utilitzen els models lineals generalitzats mixtes (GLMM); i si aquesta variable és el temps, variable amb una distribució de probabilitat no pertanyent a aquesta família, s'utilitza l'anàlisi de supervivència multivariant. El que es pretén en aquesta tesis és unificar aquests dos enfocs, és a dir, utilitzar una variable dependent que sigui el temps amb agrupacions d'individus o d'observacions, a partir d'un GLMM, amb la finalitat d'introduir nous mètodes pel tractament d'aquest tipus de dades.

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We developed three different knowledge-dissemination methods for educating Tanzanian smallholder farmers about mastitis in their dairy cattle. The effectiveness of these methods (and their combinations) was evaluated and quantified using a randomised controlled trial and multilevel statistical modelling. To our knowledge, this is the first study that has used such techniques to evaluate the effectiveness of different knowledge-dissemination interventions for adult learning in developing countries. Five different combinations of knowledge-dissemination method were compared: 'diagrammatic handout' ('HO'), 'village meeting' ('VM'), 'village meeting and video' ('VM + V), 'village meeting and diagrammatic handout' ('VM + HO') and 'village meeting, video and diagrammatic handout' ('VM + V + HO'). Smallholder dairy farmers were exposed to only one of these interventions, and the effectiveness of each was compared to a control ('C') group, who received no intervention. The mastitis knowledge of each farmer (n = 256) was evaluated by questionnaire both pre- and post-dissemination. Generalised linear mixed models were used to evaluate the effectiveness of the different interventions. The outcome variable considered was the probability of volunteering correct responses to mastitis questions post-dissemination, with 'village' and 'farmer' considered as random effects in the model. Results showed that all five interventions, 'HO' (odds ratio (OR) = 3.50, 95% confidence intervals (CI) = 3.10, 3.96), 'VM + V + HO' (OR = 3.34, 95% CI = 2.94, 3.78), 'VM + HO, (OR=3.28, 95% CI=2.90, 3.71), WM+V (OR=3.22, 95% CI=2.84, 3.64) and 'VM' (OR = 2.61, 95% CI = 2.31, 2.95), were significantly (p < 0.0001) more effective at disseminating mastitis knowledge than no intervention. In addition, the 'VM' method was less effective at disseminating mastitis knowledge than other interventions. Combinations of methods showed no advantage over the diagrammatic handout alone. Other explanatory variables with significant positive associations on mastitis knowledge included education to secondary school level or higher, and having previously learned about mastitis by reading pamphlets or attendance at an animal-health course. (c) 2005 Elsevier B.V. All rights reserved.

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A significant challenge in the prediction of climate change impacts on ecosystems and biodiversity is quantifying the sources of uncertainty that emerge within and between different models. Statistical species niche models have grown in popularity, yet no single best technique has been identified reflecting differing performance in different situations. Our aim was to quantify uncertainties associated with the application of 2 complimentary modelling techniques. Generalised linear mixed models (GLMM) and generalised additive mixed models (GAMM) were used to model the realised niche of ombrotrophic Sphagnum species in British peatlands. These models were then used to predict changes in Sphagnum cover between 2020 and 2050 based on projections of climate change and atmospheric deposition of nitrogen and sulphur. Over 90% of the variation in the GLMM predictions was due to niche model parameter uncertainty, dropping to 14% for the GAMM. After having covaried out other factors, average variation in predicted values of Sphagnum cover across UK peatlands was the next largest source of variation (8% for the GLMM and 86% for the GAMM). The better performance of the GAMM needs to be weighed against its tendency to overfit the training data. While our niche models are only a first approximation, we used them to undertake a preliminary evaluation of the relative importance of climate change and nitrogen and sulphur deposition and the geographic locations of the largest expected changes in Sphagnum cover. Predicted changes in cover were all small (generally <1% in an average 4 m2 unit area) but also highly uncertain. Peatlands expected to be most affected by climate change in combination with atmospheric pollution were Dartmoor, Brecon Beacons and the western Lake District.

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We assessed the vulnerability of blanket peat to climate change in Great Britain using an ensemble of 8 bioclimatic envelope models. We used 4 published models that ranged from simple threshold models, based on total annual precipitation, to Generalised Linear Models (GLMs, based on mean annual temperature). In addition, 4 new models were developed which included measures of water deficit as threshold, classification tree, GLM and generalised additive models (GAM). Models that included measures of both hydrological conditions and maximum temperature provided a better fit to the mapped peat area than models based on hydrological variables alone. Under UKCIP02 projections for high (A1F1) and low (B1) greenhouse gas emission scenarios, 7 out of the 8 models showed a decline in the bioclimatic space associated with blanket peat. Eastern regions (Northumbria, North York Moors, Orkney) were shown to be more vulnerable than higher-altitude, western areas (Highlands, Western Isles and Argyle, Bute and The Trossachs). These results suggest a long-term decline in the distribution of actively growing blanket peat, especially under the high emissions scenario, although it is emphasised that existing peatlands may well persist for decades under a changing climate. Observational data from long-term monitoring and manipulation experiments in combination with process-based models are required to explore the nature and magnitude of climate change impacts on these vulnerable areas more fully.

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This article investigates the relation between stimulus-evoked neural activity and cerebral hemodynamics. Specifically, the hypothesis is tested that hemodynamic responses can be modeled as a linear convolution of experimentally obtained measures of neural activity with a suitable hemodynamic impulse response function. To obtain a range of neural and hemodynamic responses, rat whisker pad was stimulated using brief (less than or equal to2 seconds) electrical stimuli consisting of single pulses (0.3 millisecond, 1.2 mA) combined both at different frequencies and in a paired-pulse design. Hemodynamic responses were measured using concurrent optical imaging spectroscopy and laser Doppler flowmetry, whereas neural responses were assessed through current source density analysis of multielectrode recordings from a single barrel. General linear modeling was used to deconvolve the hemodynamic impulse response to a single "neural event" from the hemodynamic and neural responses to stimulation. The model provided an excellent fit to the empirical data. The implications of these results for modeling schemes and for physiologic systems coupling neural and hemodynamic activity are discussed.

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Despite the increasing number of studies examining the correlates of interest and boredom, surprisingly little research has focused on within-person fluctuations in these emotions, making it difficult to describe their situational nature. To address this gap in the literature, this study conducted repeated measurements (12 times) on a sample of 158 undergraduate students using a variety of self-report assessments, and examined the within-person relationships between task-specific perceptions (expectancy, utility, and difficulty) and interest and boredom. This study further explored the role of achievement goals in predicting between-person differences in these within-person relationships. Utilizing hierarchical-linear modeling, we found that, on average, a higher perception of both expectancy and utility, as well as a lower perception of difficulty, was associated with higher interest and lower boredom levels within individuals. Moreover, mastery-approach goals weakened the negative within-person relationship between difficulty and interest and the negative within-person relationship between utility and boredom. Mastery-avoidance and performance-avoidance goals strengthened the negative relationship between expectancy and boredom. These results suggest how educators can more effectively instruct students with different types of goals, minimizing boredom and maximizing interest and learning.

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Global controls on month-by-month fractional burnt area (2000–2005) were investigated by fitting a generalised linear model (GLM) to Global Fire Emissions Database (GFED) data, with 11 predictor variables representing vegetation, climate, land use and potential ignition sources. Burnt area is shown to increase with annual net primary production (NPP), number of dry days, maximum temperature, grazing-land area, grass/shrub cover and diurnal temperature range, and to decrease with soil moisture, cropland area and population density. Lightning showed an apparent (weak) negative influence, but this disappeared when pure seasonal-cycle effects were taken into account. The model predicts observed geographic and seasonal patterns, as well as the emergent relationships seen when burnt area is plotted against each variable separately. Unimodal relationships with mean annual temperature and precipitation, population density and gross domestic product (GDP) are reproduced too, and are thus shown to be secondary consequences of correlations between different controls (e.g. high NPP with high precipitation; low NPP with low population density and GDP). These findings have major implications for the design of global fire models, as several assumptions in current models – most notably, the widely assumed dependence of fire frequency on ignition rates – are evidently incorrect.

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BACKGROUND: Misoprostol is established for the treatment of incomplete abortion but has not been systematically assessed when provided by midwives at district level in a low-resource setting. We investigated the effectiveness and safety of midwives diagnosing and treating incomplete abortion with misoprostol, compared with physicians. METHODS: We did a multicentre randomised controlled equivalence trial at district level at six facilities in Uganda. Eligibility criteria were women with signs of incomplete abortion. We randomly allocated women with first-trimester incomplete abortion to clinical assessment and treatment with misoprostol either by a physician or a midwife. The randomisation (1:1) was done in blocks of 12 and was stratified for study site. Primary outcome was complete abortion not needing surgical intervention within 14-28 days after initial treatment. The study was not masked. Analysis of the primary outcome was done on the per-protocol population with a generalised linear-mixed effects model. The predefined equivalence range was -4% to 4%. The trial was registered at ClinicalTrials.gov, number NCT01844024. FINDINGS: From April 30, 2013, to July 21, 2014, 1108 women were assessed for eligibility. 1010 women were randomly assigned to each group (506 to midwife group and 504 to physician group). 955 women (472 in the midwife group and 483 in the physician group) were included in the per-protocol analysis. 452 (95·8%) of women in the midwife group had complete abortion and 467 (96·7%) in the physician group. The model-based risk difference for midwife versus physician group was -0·8% (95% CI -2·9 to 1·4), falling within the predefined equivalence range (-4% to 4%). The overall proportion of women with incomplete abortion was 3·8% (36/955), similarly distributed between the two groups (4·2% [20/472] in the midwife group, 3·3% [16/483] in the physician group). No serious adverse events were recorded. INTERPRETATION: Diagnosis and treatment of incomplete abortion with misoprostol by midwives is equally safe and effective as when provided by physicians, in a low-resource setting. Scaling up midwives' involvement in treatment of incomplete abortion with misoprostol at district level would increase access to safe post-abortion care. FUNDING: The Swedish Research Council, Karolinska Institutet, and Dalarna University.

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TEMA: análise acústica da fala. OBJETIVO: analisar acusticamente as substituições envolvendo o contraste entre /t/ e /k/ na fala de crianças em aquisição típica e desviante do contraste acima referido, a fim de identificar e quantificar a existência de contrastes encobertos. MÉTODO: foi elaborado um experimento de produção de fala que envolveu a repetição de palavras, que combinavam /t/ e /k/ com /a/ e /u/ na posição acentuada, por 9 crianças divididas em três grupos: crianças em processo de aquisição do contraste investigado (G1); crianças com transtorno fonológico (G2) e crianças com produções típicas (G3). Com o uso do software Praat, as produções foram editadas e analisadas de acordo com os seguintes parâmetros acústicos: características espectrais do burst; transição CV e características temporais. Os testes estatísticos utilizados foram ANOVA de Friedman e Manova. A significância estatística adotada foi menor que 0,05. RESULTADOS: tanto nas produções das crianças do G2 quanto nas produções das crianças do G1, detectamos, em grande medida (80% e 57,4%, respectivamente), a presença de contrastes encobertos nos erros de substituição das oclusivas investigadas. Adicionalmente, a análise acústica revelou diferenças em como as crianças utilizam as pistas fonético-acústicas para marcarem a distinção entre /t/ e /k/. CONCLUSÃO: muitas das substituições presentes da produção de fala de crianças em processo de aquisição típico e desviante tratam-se na verdade de contrastes fônicos encobertos. Além disso, o uso da análise acústica permitiu a detecção de diferenças sutis da produção da fala das crianças.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)