Potencialidades e utilização do espaço recreio: um estudo desenvolvido em escolas do 1.º ciclo do ensino básico

Dissertação apresentada para a obtenção do grau de Mestre em Educação - Área de Especialização em Didática das Ciências

Plaster body wrap: effects on abdominal fat

Background Abdominal fat is associated with metabolic disorders, leading to cardiovascular risk factors and numerous diseases. This study aimed to analyze the effect of plaster body wrap in combination with aerobic exercise on abdominal fat. Methods Nineteen female volunteers were randomly divided into intervention group (IG; n = 10) performing aerobic exercise with plaster body wrap, and control group (CG; n = 9) performing only exercise. Subcutaneous and visceral fat were measured using ultrasound; subcutaneous fat was also estimated on analysis of skinfolds and abdominal perimeters. Results At the end of the 10-sessions protocol, the IG demonstrated a significant decrease (p ≤ 0.05) in subcutaneous fat at the left anterior superior iliac spine (ASIS) level and in iliac crest perimeter measurements. A large intervention effect size strength (0.80) was found in subcutaneous fat below the navel and a moderate effect size strength on the vertical abdominal skinfold (0.62) and the perimeter of the most prominent abdominal point (0.57). Comparing the initial and final data of each group, the IG showed a significant decrease in numerous variables including visceral and subcutaneous fat above and below the navel measured by ultrasound (p ≤ 0.05). Conclusion Plaster body wrap in combination with aerobic exercise seems to be effective for abdominal fat reduction.

Some reflections on acquisition, processing and analysis of statistical data in forest soils

Beyond the classical statistical approaches (determination of basic statistics, regression analysis, ANOVA, etc.) a new set of applications of different statistical techniques has increasingly gained relevance in the analysis, processing and interpretation of data concerning the characteristics of forest soils. This is possible to be seen in some of the recent publications in the context of Multivariate Statistics. These new methods require additional care that is not always included or refered in some approaches. In the particular case of geostatistical data applications it is necessary, besides to geo-reference all the data acquisition, to collect the samples in regular grids and in sufficient quantity so that the variograms can reflect the spatial distribution of soil properties in a representative manner. In the case of the great majority of Multivariate Statistics techniques (Principal Component Analysis, Correspondence Analysis, Cluster Analysis, etc.) despite the fact they do not require in most cases the assumption of normal distribution, they however need a proper and rigorous strategy for its utilization. In this work, some reflections about these methodologies and, in particular, about the main constraints that often occur during the information collecting process and about the various linking possibilities of these different techniques will be presented. At the end, illustrations of some particular cases of the applications of these statistical methods will also be presented.

Extremum estimators and stochastic optimization methods

Submitted in partial fulfillment for the Requirements for the Degree of PhD in Mathematics, in the Speciality of Statistics in the Faculdade de Ciências e Tecnologia

Digital Divide Across the European Union

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Politicization of non-political events

Spatial analysis and social network analysis typically take into consideration social processes in specific contexts of geographical or network space. The research in political science increasingly strives to model heterogeneity and spatial dependence. To better understand and geographically model the relationship between “non-political” events, streaming data from social networks, and political climate was the primary objective of the current study. Geographic information systems (GIS) are useful tools in the organization and analysis of streaming data from social networks. In this study, geographical and statistical analysis were combined in order to define the temporal and spatial nature of the data eminating from the popular social network Twitter during the 2014 FIFA World Cup. The study spans the entire globe because Twitter’s geotagging function, the fundamental data that makes this study possible, is not limited to a geographic area. By examining the public reactions to an inherenlty non-political event, this study serves to illuminate broader questions about social behavior and spatial dependence. From a practical perspective, the analyses demonstrate how the discussion of political topics fluсtuate according to football matches. Tableau and Rapidminer, in addition to a set basic statistical methods, were applied to find patterns in the social behavior in space and time in different geographic regions. It was found some insight into the relationship between an ostensibly non-political event – the World Cup - and public opinion transmitted by social media. The methodology could serve as a prototype for future studies and guide policy makers in governmental and non-governmental organizations in gauging the public opinion in certain geographic locations.

THE USE OF COGNITIVE INTERVIEWS TO EVALUATE THE LIVING CONDITIONS SURVEY

Cognitive interviews were used to evaluate two draft versions of a financial survey in Jamaica. The qualitative version used a few open-ended questions, and the quantitative version used numerous close-ended questions. A secondary analysis based on the cognitive interview literature was used to guide a content analysis of the aggregate data of both surveys. The cognitive interview analysis found that the long survey had fewer respondent errors than the open-ended questions on the short survey. A grounded theory analysis then examined the aggregate cognitive data, showing that the respondents attached complex meanings to their financial information. The main limitation of this study was that the standard assessments of quantitative and qualitative reliability and validity were not utilized. Further research should utilize statistical methods to compare and contrast aggregated cognitive interview probe responses on open and close ended surveys.

Finite-Sample Inference Methods for Simultaneous Equations and Models with Unobserved and Generated Regressors

We propose finite sample tests and confidence sets for models with unobserved and generated regressors as well as various models estimated by instrumental variables methods. The validity of the procedures is unaffected by the presence of identification problems or \"weak instruments\", so no detection of such problems is required. We study two distinct approaches for various models considered by Pagan (1984). The first one is an instrument substitution method which generalizes an approach proposed by Anderson and Rubin (1949) and Fuller (1987) for different (although related) problems, while the second one is based on splitting the sample. The instrument substitution method uses the instruments directly, instead of generated regressors, in order to test hypotheses about the \"structural parameters\" of interest and build confidence sets. The second approach relies on \"generated regressors\", which allows a gain in degrees of freedom, and a sample split technique. For inference about general possibly nonlinear transformations of model parameters, projection techniques are proposed. A distributional theory is obtained under the assumptions of Gaussian errors and strictly exogenous regressors. We show that the various tests and confidence sets proposed are (locally) \"asymptotically valid\" under much weaker assumptions. The properties of the tests proposed are examined in simulation experiments. In general, they outperform the usual asymptotic inference methods in terms of both reliability and power. Finally, the techniques suggested are applied to a model of Tobin’s q and to a model of academic performance.

Simulation-Based Finite-and Large-sample Inference Methods in Multivariate Regressions and Seemingly Unrelated Regressions

In the context of multivariate regression (MLR) and seemingly unrelated regressions (SURE) models, it is well known that commonly employed asymptotic test criteria are seriously biased towards overrejection. in this paper, we propose finite-and large-sample likelihood-based test procedures for possibly non-linear hypotheses on the coefficients of MLR and SURE systems.

Identification, Weak Instruments and Statistical Inference in Econometrics

We discuss statistical inference problems associated with identification and testability in econometrics, and we emphasize the common nature of the two issues. After reviewing the relevant statistical notions, we consider in turn inference in nonparametric models and recent developments on weakly identified models (or weak instruments). We point out that many hypotheses, for which test procedures are commonly proposed, are not testable at all, while some frequently used econometric methods are fundamentally inappropriate for the models considered. Such situations lead to ill-defined statistical problems and are often associated with a misguided use of asymptotic distributional results. Concerning nonparametric hypotheses, we discuss three basic problems for which such difficulties occur: (1) testing a mean (or a moment) under (too) weak distributional assumptions; (2) inference under heteroskedasticity of unknown form; (3) inference in dynamic models with an unlimited number of parameters. Concerning weakly identified models, we stress that valid inference should be based on proper pivotal functions —a condition not satisfied by standard Wald-type methods based on standard errors — and we discuss recent developments in this field, mainly from the viewpoint of building valid tests and confidence sets. The techniques discussed include alternative proposed statistics, bounds, projection, split-sampling, conditioning, Monte Carlo tests. The possibility of deriving a finite-sample distributional theory, robustness to the presence of weak instruments, and robustness to the specification of a model for endogenous explanatory variables are stressed as important criteria assessing alternative procedures.

Methods to Estimate Dynamic Stochastic General Equilibrium Models

This paper employs the one-sector Real Business Cycle model as a testing ground for four different procedures to estimate Dynamic Stochastic General Equilibrium (DSGE) models. The procedures are: 1 ) Maximum Likelihood, with and without measurement errors and incorporating Bayesian priors, 2) Generalized Method of Moments, 3) Simulated Method of Moments, and 4) Indirect Inference. Monte Carlo analysis indicates that all procedures deliver reasonably good estimates under the null hypothesis. However, there are substantial differences in statistical and computational efficiency in the small samples currently available to estimate DSGE models. GMM and SMM appear to be more robust to misspecification than the alternative procedures. The implications of the stochastic singularity of DSGE models for each estimation method are fully discussed.

Analyse bibliométrique des revues Canadian Journal of Communication et Communication 1974-2005

L’objectif de cette étude est de saisir une image des éléments explicitement reconnaissables de la recherche en communication visibles dans les revues savantes Canadian Journal of Communication et dans Communication de 1974 à 2005. Il s’agit d’une analyse bibliométrique des articles publiés par les chercheurs d’institutions canadiennes et de leurs références bibliographiques. La bibliométrie est « l’application de méthodes statistiques aux livres et aux autres moyens de communication » (Pritchard, 1969: 348-349). C’est la première fois qu’une analyse de ce type est tentée dans ce corpus particulier. Nous nous sommes appuyés sur des postulats théoriques provenant de la sociologie des sciences et des études en communication scientifique. L’idée maîtresse est la suivante : l’activité scientifique est un « continuum de création de nouvelles connaissances » (Vassallo, 1999), dont l’organisation est basée sur l’échange d’information (Price, 1963; Crane, 1972), qui se traduit en reconnaissance sociale, en autorité scientifique, et constitue un investissement pour l’acquisition de crédibilité (Merton, 1938; Hagstrom, 1965; Bourdieu, 1975; Latour et Woolgar, 1986). À partir de l’analyse des articles, nous identifions s’ils sont le résultat de recherches empiriques ou fondamentales, ou le produit d’une réflexion critique. Il s’agit aussi de détecter les approches méthodologiques et les techniques d’investigation utilisées, ainsi que les sujets qui y sont abordés par les chercheurs. Nous détectons également les principaux lieux de recherche (universités et types de départements). Nous analysons aussi les thématiques des articles. Enfin, nous analysons des références bibliographiques des articles afin de cerner les sources d’idées qui y sont décelables. Notre corpus principal comporte 1154 articles et 12 840 titres de documents en référence. L’analyse bibliométrique des articles révèle ainsi une recherche canadienne en communication d’emblée qualitative, intéressée pour les spécificités historiques, le contexte social et la compréhension des interrelations sous-jacentes aux phénomènes de communication, en particulier, au Canada et au Québec. Au cœur de ces études se distingue principalement l’application de l’analyse de contenu qualitative dans les médias en général. Cependant, à partir de 1980, l’exploration du cinéma, de l’audiovisuel, des nouvelles technologies de l’information et de la communication, ainsi que la multiplication des sujets de recherche, annoncent un déplacement dans l’ordre des intérêts. Communication et le CJC, se distinguent cependant par l’origine linguistique des chercheurs qui y publient ainsi que dans les thématiques. L’analyse des références bibliographiques, et de leurs auteurs, met en relief l’intérêt partagé des chercheurs d’institutions universitaires canadiennes pour les agences de réglementation et les politiques gouvernementales canadiennes s’appuyant souvent sur l’analyse de documents législatifs et de rapports de diverses commissions d’enquête du gouvernement canadien. L’analyse révèle aussi les principales inspirations théoriques et méthodologiques des chercheurs. Parmi les plus citées, on voit Innis, McLuhan, Habermas, Tuchman, Bourdieu, Foucault, Raboy, et Rogers. Mais ces références évoluent dans le temps. On voit aussi une distinction relativement claire entre les sources citées par la recherche francophone et la recherche anglophone.

Networks of PhD Students and Academic Performance: A Comparison across Countries

In this article we compare regression models obtained to predict PhD students’ academic performance in the universities of Girona (Spain) and Slovenia. Explanatory variables are characteristics of PhD student’s research group understood as an egocentered social network, background and attitudinal characteristics of the PhD students and some characteristics of the supervisors. Academic performance was measured by the weighted number of publications. Two web questionnaires were designed, one for PhD students and one for their supervisors and other research group members. Most of the variables were easily comparable across universities due to the careful translation procedure and pre-tests. When direct comparison was not possible we created comparable indicators. We used a regression model in which the country was introduced as a dummy coded variable including all possible interaction effects. The optimal transformations of the main and interaction variables are discussed. Some differences between Slovenian and Girona universities emerge. Some variables like supervisor’s performance and motivation for autonomy prior to starting the PhD have the same positive effect on the PhD student’s performance in both countries. On the other hand, variables like too close supervision by the supervisor and having children have a negative influence in both countries. However, we find differences between countries when we observe the motivation for research prior to starting the PhD which increases performance in Slovenia but not in Girona. As regards network variables, frequency of supervisor advice increases performance in Slovenia and decreases it in Girona. The negative effect in Girona could be explained by the fact that additional contacts of the PhD student with his/her supervisor might indicate a higher workload in addition to or instead of a better advice about the dissertation. The number of external student’s advice relationships and social support mean contact intensity are not significant in Girona, but they have a negative effect in Slovenia. We might explain the negative effect of external advice relationships in Slovenia by saying that a lot of external advice may actually result from a lack of the more relevant internal advice

Factores asociados a la aparición de mediastinitis en revascularizacion miocárdica

Objetivos: La mediastinitis se presenta hasta en el 4% de los pacientes sometidos a revascularización miocárdica, con un mortalidad hospitalaria reportada del 14 al 47%, generando aumento en los costos de atención, deterioro de la calidad de vida y la sobrevida a largo plazo del enfermo; su etiología es multifactorial. El objetivo de este estudio fue determinar cuáles antecedentes clínicos del paciente y factores relacionados con el procedimiento quirúrgico se asocian con la aparición mediastinitis. Métodos: Diseño de casos y controles anidado en una cohorte histórica de pacientes sometidos a revascularización miocárdica en el periodo de enero de 2005 a julio de 2011. Los pacientes con mediastinitis se compararon con un grupo control sin mediastinitis tomados del mismo grupo de riesgo en una relación 1:4, y pareados por fecha de cirugía. El diagnóstico de mediastinitis se hizo con criterios clínicos, de laboratorio y hallazgos quirúrgicos. Resultados: Se identificaron 30 casos en ese periodo. Los factores asociados a la aparición del evento fueron: Diabetes Mellitus OR 2,3 (1.1- 4,9), uso de circulación extracorpórea OR 2,4 (1,1 -5.5), tiempo de perfusión OR 1,1 (1,1 – 1.3) y pacientes mayores de 70 años OR 1.1 (1,2-1-4). Conclusiones: La mediastinitis sigue siendo una complicación de baja prevalencia con consecuencias devastadoras. El impacto clínico y económico de esta complicación debe obligar a los grupos quirúrgicos a crear estrategias de prevención con base en el conocimiento de los factores de riesgo de su población.

Factores asociados a fenómeno de no reflujo coronario en pacientes adultos llevados a angioplastia

Introducción: La disminución de flujo en los vasos coronarios sin presencia de oclusión, es conocido como fenómeno de no reflujo, se observa después de la reperfusión, su presentación oscila entre el 5% y el 50% dependiendo de la población y de los criterios diagnósticos, dicho suceso es de mal pronóstico, aumenta el riesgo de morir en los primeros 30 días posterior a la angioplastia (RR 2,1 p 0,038), y se relaciona con falla cardiaca y arritmias, por eso al identificar los factores a los cuales se asocia, se podrán implementar terapias preventivas. Metodología: Estudio de casos y controles pareado por médico que valoró el evento, para garantizar que no existieron variaciones inter observador, con una razón 1:4 (18:72), realizado para identificar factores asociados a la presencia de no reflujo en pacientes llevados a angioplastia, entre noviembre de 2010 y mayo de 2014, en la Clínica San Rafael de Bogotá, D.C. Resultados: La frecuencia del no reflujo fue del 2.89%. El Infarto Agudo de Miocardio con elevación del ST (IAMCEST) fue la única variable que mostró una asociación estadísticamente significativa con este suceso, valor de p 0,002, OR 8,7, IC 95% (2,0 – 36,7). Discusión: El fenómeno de no reflujo en esta población se comportó de manera similar a lo descrito en la literatura, siendo el IAMCEST un factor fuertemente asociado.