Elaboração, padronização e aplicação de questionário para avaliação de conhecimento sobre câncer bucal validado pela teoria de resposta ao item

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Planejamento de um ambiente virtual de aprendizagem baseado em interfaces dinâmicas e uma aplicação ao estudo de potência elétrica

Pós-graduação em Engenharia Elétrica - FEIS

Competitividade inter-regional de sistemas de produção de bovinocultura de corte

O trabalho apresenta uma metodologia de avaliação de sistemas de produção através da mensuração da competitividade interna na bovinocultura de corte. Durante o primeiro trimestre de 2010, foram aplicados 65 questionários com pecuaristas, sendo 36 entrevistas na Região Sul (Estado do Rio Grande do Sul) e 29 na Região Norte (Estados do Pará e Rondônia). Foram definidos os principais direcionadores que afetam a competitividade interna - tecnologia, gestão, relações de mercado e ambiente institucional, sendo atribuído um peso específico para cada direcionador, a fim de obter o índice de competitividade. Os resultados foram analisados estatisticamente pela teoria de resposta ao item e pela análise de correspondência (ANACOR) com o software SPSS®. A Região Sul apresentou uma maior competitividade que a Região Norte. Independente da região, os fatores críticos de competitividade foram: integração lavoura-pecuária, planejamento estratégico, cálculo de indicadores financeiros, formação de preços, acesso a inovações tecnológicas e organização dos produtores.

Escala de percepção do suporte social - versão adulta: um estudo pela Teoria de Resposta ao Item

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

Criação de um banco de itens para avaliar o conhecimento do câncer de cabeça e pescoço

Pós-graduação em Odontologia Preventiva e Social - FOA

O leitor no tribunal subversivo de João Guimarães Rosa: a benfazeja à luz da teoria do efeito

By understanding the reader as a central link to the meaning of the literary text and with the opportunity to extend the relevance of such studies, this work aims at analyzing the short story A benfazeja, by João Guimarães Rosa, with subsidies from Aesthetic Response Theory, by Wolfgang Iser. It investigates how structures of the text conduct the reading, in a subversive manner, by technique, repertory of themes, allusions, inversions of expectations, determinations and “gaps”. It verifies that there is an allegorical court with a persuasive rhetoric, in which the defense lawyer not only intends to protagonist MulaMarmela’s absolution, but also an invitation to new ways to see and judge to implied reader, beyond obvious reason and prejudice.

Construção de uma escala para avaliação da pro ciência em conteúdos matemáticos básicos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Atividades de educação em saúde sobre leishmaniose visceral para escolares

This study aimed at evaluating the knowledge on visceral leishmaniasis gained after the application of an educative project for the 6th and 7th grade students from three public schools of Birigui, SP, Brazil. A questionnaire before (Phase I) and after (Phase II) activities that comprehended one conference by a health agent, a comic contest and one crossword about VL was used to measure scholar’s knowledge. We interviewed 711 students in Phase I and 693 in Phase II. A criterion of VL knowledge was adopted as “Good”, “Medium” and “Bad” when, out of 10 questions analyzed by Item Response Theory, 10 to 8, 7 to 4, and 3 to 0 were right, respectively. We observed a statistically significant increase in the students’ knowledge level after the educational project, since the number of students with “Good” concept changed from 35.7% (Phase I) to 59.7% (Phase II). The educational activities carried out led to gains in knowledge among students suggesting that continuing education can bring good results to public health.

Spin accumulation encoded in electronic noise for mesoscopic billiards with finite tunneling rates

We study the effects of spin accumulation (inside reservoirs) on electronic transport with tunneling and reflections at the gates of a quantum dot. Within the stub model, the calculations focus on the current-current correlation function for the flux of electrons injected into the quantum dot. The linear response theory used allows us to obtain the noise power in the regime of thermal crossover as a function of parameters that reveal the spin polarization at the reservoirs. The calculation is performed employing diagrammatic integration within the universal groups (ensembles of Dyson) for a nonideal, nonequilibrium chaotic quantum dot. We show that changes in the spin distribution determine significant alterations in noise behavior at values of the tunneling rates close to zero, in the regime of strong reflection at the gates.

Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size

Item response theory (IRT) comprises a set of statistical models which are useful in many fields, especially when there is an interest in studying latent variables (or latent traits). Usually such latent traits are assumed to be random variables and a convenient distribution is assigned to them. A very common choice for such a distribution has been the standard normal. Recently, Azevedo et al. [Bayesian inference for a skew-normal IRT model under the centred parameterization, Comput. Stat. Data Anal. 55 (2011), pp. 353-365] proposed a skew-normal distribution under the centred parameterization (SNCP) as had been studied in [R. B. Arellano-Valle and A. Azzalini, The centred parametrization for the multivariate skew-normal distribution, J. Multivariate Anal. 99(7) (2008), pp. 1362-1382], to model the latent trait distribution. This approach allows one to represent any asymmetric behaviour concerning the latent trait distribution. Also, they developed a Metropolis-Hastings within the Gibbs sampling (MHWGS) algorithm based on the density of the SNCP. They showed that the algorithm recovers all parameters properly. Their results indicated that, in the presence of asymmetry, the proposed model and the estimation algorithm perform better than the usual model and estimation methods. Our main goal in this paper is to propose another type of MHWGS algorithm based on a stochastic representation (hierarchical structure) of the SNCP studied in [N. Henze, A probabilistic representation of the skew-normal distribution, Scand. J. Statist. 13 (1986), pp. 271-275]. Our algorithm has only one Metropolis-Hastings step, in opposition to the algorithm developed by Azevedo et al., which has two such steps. This not only makes the implementation easier but also reduces the number of proposal densities to be used, which can be a problem in the implementation of MHWGS algorithms, as can be seen in [R.J. Patz and B.W. Junker, A straightforward approach to Markov Chain Monte Carlo methods for item response models, J. Educ. Behav. Stat. 24(2) (1999), pp. 146-178; R. J. Patz and B. W. Junker, The applications and extensions of MCMC in IRT: Multiple item types, missing data, and rated responses, J. Educ. Behav. Stat. 24(4) (1999), pp. 342-366; A. Gelman, G.O. Roberts, and W.R. Gilks, Efficient Metropolis jumping rules, Bayesian Stat. 5 (1996), pp. 599-607]. Moreover, we consider a modified beta prior (which generalizes the one considered in [3]) and a Jeffreys prior for the asymmetry parameter. Furthermore, we study the sensitivity of such priors as well as the use of different kernel densities for this parameter. Finally, we assess the impact of the number of examinees, number of items and the asymmetry level on the parameter recovery. Results of the simulation study indicated that our approach performed equally as well as that in [3], in terms of parameter recovery, mainly using the Jeffreys prior. Also, they indicated that the asymmetry level has the highest impact on parameter recovery, even though it is relatively small. A real data analysis is considered jointly with the development of model fitting assessment tools. The results are compared with the ones obtained by Azevedo et al. The results indicate that using the hierarchical approach allows us to implement MCMC algorithms more easily, it facilitates diagnosis of the convergence and also it can be very useful to fit more complex skew IRT models.

The Role of Molecular Conformation and Polarizable Embedding for One- and Two-Photon Absorption of Disperse Orange 3 in Solution

Solvent effects on the one- and two-photon absorption (IPA and 2PA) of disperse orange 3 (DO3) in dimethyl sulfoxide (DMSO) are studied using a discrete polarizable embedding (PE) response theory. The scheme comprises a quantum region containing the chromophore and an atomically granulated classical region for the solvent accounting for full interactions within and between the two regions. Either classical molecular dynamics (MD) or hybrid Car-Parrinello (CP) quantum/classical (QM/MM) molecular dynamics simulations are employed to describe the solvation of DO3 in DMSO, allowing for an analysis of the effect of the intermolecular short-range repulsion, long-range attraction, and electrostatic interactions on the conformational changes of the chromophore and also the effect of the solute-solvent polarization. PE linear response calculations are performed to verify the character, solvatochromic shift, and overlap of the two lowest energy transitions responsible for the linear absorption spectrum of DO3 in DMSO in the visible spectral region. Results of the PE linear and quadratic response calculations, performed using uncorrelated solute-solvent configurations sampled from either the classical or hybrid CP QM/MM MD simulations, are used to estimate the width of the line shape function of the two electronic lowest energy excited states, which allow a prediction of the 2PA cross-sections without the use of empirical parameters. Appropriate exchange-correlation functionals have been employed in order to describe the charge-transfer process following the electronic transitions of the chromophore in solution.

Psychometric properties of the Beck Depression Inventory-II: a comprehensive review

OBJECTIVE: To review the psychometric properties of the Beck Depression Inventory-II (BDI-II) as a self-report measure of depression in a variety of settings and populations. METHODS: Relevant studies of the BDI-II were retrieved through a search of electronic databases, a hand search, and contact with authors. Retained studies (k = 118) were allocated into three groups: non-clinical, psychiatric/institutionalized, and medical samples. RESULTS: The internal consistency was described as around 0.9 and the retest reliability ranged from 0.73 to 0.96. The correlation between BDI-II and the Beck Depression Inventory (BDI-I) was high and substantial overlap with measures of depression and anxiety was reported. The criterion-based validity showed good sensitivity and specificity for detecting depression in comparison to the adopted gold standard. However, the cutoff score to screen for depression varied according to the type of sample. Factor analysis showed a robust dimension of general depression composed by two constructs: cognitive-affective and somatic-vegetative. CONCLUSIONS: The BDI-II is a relevant psychometric instrument, showing high reliability, capacity to discriminate between depressed and non-depressed subjects, and improved concurrent, content, and structural validity. Based on available psychometric evidence, the BDI-II can be viewed as a cost-effective questionnaire for measuring the severity of depression, with broad applicability for research and clinical practice worldwide.

Ricezione e Finzione. Una teoria della lettura tra struttura e risposta estetica

Attraverso l’analisi di teorie della lettura “centripete” e “centrifughe”, tra fenomenologia, semiotica e teoria della risposta estetica, questa ricerca punta a definire la lettura come un’esperienza estetica di una variabile e plurale letterarietà, o per essere più precisi, come una relazione estetica ad una funzione nel linguaggio, che di volta in volta diviene immanente e trascendente rispetto al linguaggio, immanente nella percepibilità espressiva del segno e trascendente nella sua ristretta finzionalità o fittività, aperta alla dimensione del senso. Così, la letterarietà è vista, dal punto di vista di una teoria della lettura, come una funzione che nega o sovverte il linguaggio ordinario, inteso come contesto normale, ma anche una funzione che permette il supplemento di senso del linguaggio. Ciò rende la definizione di cosa sia letteratura e di quali testi siano considerabili come letterari come una definizione dipendente dalla lettura, ed anche mette in questione la classica dicotomia tra linguaggio standard e linguaggio deviante, di secondo grado e figurativo, comportamento che distinguerebbe la letteratura. Questi quattro saggi vorrebbero dimostrare che la lettura, come una pratica estetica, è l’espressione di una oscillazione tra una Finzione variabile nei suoi effetti ed una Ricezione, la quale è una risposta estetica controllata dal testo, ma anche una relazione estetica all’artefatto a natura verbale. Solo in questo modo può essere compresa la caratteristica paradossale della lettura, il suo stare tra una percezione passiva ed un’attiva esecuzione, tra un’attenzione aspettuale ed una comprensione intenzionale. Queste modalità si riflettono anche sulla natura dialettica della lettura, come una dialettica di apertura e chiusura, ma anche di libertà e fedeltà, risposta ad uno stimolo che può essere interpretato come una domanda, e che presenta la lettura stessa come una premessa dell’interpretazione, come momento estetico. Così una teoria della lettura dipende necessariamente da una teoria dell’arte che si presenta come funzionale, relativa più al Quando vi è arte?/Come funziona? piuttosto che al Che cosa è Arte?, che rende questo secondo problema legato al primo. Inoltre, questo Quando dell’Arte, che definisce l’opera d’arte come un’arte- all’-opera, dipende a sua volta, in un campo letterario, dalla domanda Quando vi è esperienza estetica letteraria? e dalla sue condizioni, quelle di finzione e ricezione.

L'impiego del modello di Rash per la valutazione della soddisfazione del paziente nell'ambito delle strutture sanitarie di ricovero

Hospitals and health service providers are use to collect data about patient’s opinion to improve patient health status and communication with them and to upgrade the management and the organization of the health service provided. A lot of survey are carry out for this purpose and several questionnaire are built to measure patient satisfaction. In particular patient satisfaction is a way to describe and assess the level of hospital service from the patient’s point of view. It is a cognitive and an emotional response to the hospital experience. Methodologically patient satisfaction is defined as a multidimensional latent variable. To assess patient satisfaction Item Response Theory has greater advantages compared to Classical Test Theory. Rasch model is a one-parameter model which belongs to Item Response Theory. Rasch model yield objective measure of the construct that are independent of the set of people interviewed and of set of items used. Rasch estimates are continuous and can be useful to “calibrate” the scale of the latent trait. This research attempt to investigate the questionnaire currently adopted to measure patient satisfaction in an Italian hospital, completed by a large sample of 3390 patients. We verify the multidimensional nature of the variable, the properties of the instrument and the level of satisfaction in the hospital. Successively we used Rasch estimates to describe the most satisfied and the less satisfied patients.

A bayesian model for mixed responses and skew laten variable to measure HRQoL in children

The aim of the thesi is to formulate a suitable Item Response Theory (IRT) based model to measure HRQoL (as latent variable) using a mixed responses questionnaire and relaxing the hypothesis of normal distributed latent variable. The new model is a combination of two models already presented in literature, that is, a latent trait model for mixed responses and an IRT model for Skew Normal latent variable. It is developed in a Bayesian framework, a Markov chain Monte Carlo procedure is used to generate samples of the posterior distribution of the parameters of interest. The proposed model is test on a questionnaire composed by 5 discrete items and one continuous to measure HRQoL in children, the EQ-5D-Y questionnaire. A large sample of children collected in the schools was used. In comparison with a model for only discrete responses and a model for mixed responses and normal latent variable, the new model has better performances, in term of deviance information criterion (DIC), chain convergences times and precision of the estimates.