A time-domain test for some types of nonlinearity

The bispectrum and third-order moment can be viewed as equivalent tools for testing for the presence of nonlinearity in stationary time series. This is because the bispectrum is the Fourier transform of the third-order moment. An advantage of the bispectrum is that its estimator comprises terms that are asymptotically independent at distinct bifrequencies under the null hypothesis of linearity. An advantage of the third-order moment is that its values in any subset of joint lags can be used in the test, whereas when using the bispectrum the entire (or truncated) third-order moment is required to construct the Fourier transform. In this paper, we propose a test for nonlinearity based upon the estimated third-order moment. We use the phase scrambling bootstrap method to give a nonparametric estimate of the variance of our test statistic under the null hypothesis. Using a simulation study, we demonstrate that the test obtains its target significance level, with large power, when compared to an existing standard parametric test that uses the bispectrum. Further we show how the proposed test can be used to identify the source of nonlinearity due to interactions at specific frequencies. We also investigate implications for heuristic diagnosis of nonstationarity.

Relationships of sauries and needlefishes (Teleostei : Scomberesocoidea) to the internally fertilizing halfbeaks (Zenarchopteridae) based on the pharyngeal jaw apparatus

The 40 life history, myological, and osteological characters that Tibbetts (1992) used in his study of the hemiramphids are evaluated for both saury genera (Cololabis and Scomberesox) to determine if the Scomberesocidae are more closely related to the Zenarchopteridae, to the needlefishes (Belonidae), or to the halfbeaks (Hemiramphidae) and flyingfishes (Exocoetidae). Data were analyzed using PAUP*, and eight equally parsimonious trees were found (70 steps, CI 0.814, RI 0.938). This analysis indicates that sauries are most closely related to needlefishes, supporting the historical concept of the superfamily Scomberesocoidea as a monophyletic assemblage. A caudal displacement of the origin of the retractor dorsalis muscle is a tentative additional synapomorphy for all four saury species. Zenarchopteridae is strongly supported as a valid family sister to the Scomberesocoidea (decay index = 19, bootstrap = 100). Resolution of the internal structure of the Belonidae and the Hemiramphidae requires the identification of additional characters and examination of a greater number of taxa.

Cloning and sequence analysis of pituitary prolactin cDNA from the northern brown bandicoot (Isoodon macrourus)

The nuclectide sequence for pituitary prolactin cDNA from the marsupial bandicoot (Isoodon macrourus) was determined by reverse transcription-polymerase chain reaction and 5'/3' rapid amplification of cDNA ends. The deduced amino acid sequence showed high sequence identity with brushtail possum prolactin (95%) and all of the expected structural features of a quadruped prolactin. A prolactin gene tree was constructed and rates of evolution calculated for bandicoot, possum, opossum and several mammalian and non-mammalian prolactins. Bootstrap analysis provided strong support for marsupials as a sister group with eutherian mammals and weak support for opossum and bandicoot as an independent grouping from the brushtail possum. The rates of molecular evolution for marsupial prolactins were comparable to the slow rate seen in the majority of quadruped prolactins that have been sequenced. (c) 2005 Elsevier Inc. All rights reserved.

Determining the effective dimensionality of the genetic variance-covariance matrix

Determining the dimensionality of G provides an important perspective on the genetic basis of a multivariate suite of traits. Since the introduction of Fisher's geometric model, the number of genetically independent traits underlying a set of functionally related phenotypic traits has been recognized as an important factor influencing the response to selection. Here, we show how the effective dimensionality of G can be established, using a method for the determination of the dimensionality of the effect space from a multivariate general linear model introduced by AMEMIYA (1985). We compare this approach with two other available methods, factor-analytic modeling and bootstrapping, using a half-sib experiment that estimated G for eight cuticular hydrocarbons of Drosophila serrata. In our example, eight pheromone traits were shown to be adequately represented by only two underlying genetic dimensions by Amemiya's approach and factor-analytic modeling of the covariance structure at the sire level. In, contrast, bootstrapping identified four dimensions with significant genetic variance. A simulation study indicated that while the performance of Amemiya's method was more sensitive to power constraints, it performed as well or better than factor-analytic modeling in correctly identifying the original genetic dimensions at moderate to high levels of heritability. The bootstrap approach consistently overestimated the number of dimensions in all cases and performed less well than Amemiya's method at subspace recovery.

Small-scale randomized controlled trials need more powerful methods of mediational analysis than the Baron-Kenny method

Objective: To devise more-effective physical activity interventions, the mediating mechanisms yielding behavioral change need to be identified. The Baron-Kenny method is most commonly used. but has low statistical power and May not identify mechanisms of behavioral change in small-to-medium size Studies. More powerful statistical tests are available, Study Design and Setting: Inactive adults (N = 52) were randomized to either a print or a print-plus-telephone intervention. Walking and exercise-related social support Were assessed at baseline, after file intervention, and 4 weeks later. The Baron-Kenny and three alternative methods of mediational analysis (Freedman-Schatzkin; MacKinnon et al.: bootstrap method) were used to examine the effects of social support on initial behavior change and maintenance. Results: A significant mediational effect of social support on initial behavior change was indicated by the MacKinnon et al., bootstrap. and. marginally. Freedman-Schatzkin methods, but not by the Baron-Kenny method. No significant mediational effecl of social support on maintenance of walking was found. Conclusions: Methodologically rigorous intervention studies to identify mediators of change in physical activity are costly and labor intensive, and may not be feasible with large samples. The Use of statistically powerful tests of mediational effects in small-scale studies can inform the development of more effective interventions. (C) 2006 Elsevier Inc. All rights reserved.

Thelastomatoidea (Nematoda : Oxyurida) of the Australian giant burrowing cockroach, Macropanesthia rhinoceros (Blaberidae : Geoscapheinae)

The thelastomatoid fauna of Macropanesthia rhinoceros was examined from 13 localities across its range in Queensland, Australia. Nine species of thelastomatoids, including two representing new genera, Geoscaphenema megaovum n. g., n. sp. and Jaidenema rhinoceratum n. g., n. sp., were found. Macropanesthia rhinoceros is reported as a new host for seven species previously recorded from Panesthia cribrata (Blaberidae: Panesthiinae) and P. tryoni tryoni, viz, Blattophila sphaerolaima, Leidynemella fusiformis, Cordonicola gibsoni, Travassosinema jaidenae, Coronostoma australiae, Hammerschmidtiella hochi and Desmicola ornata. Overall estimated richness for the system ranged from 10.1-13.5 species. The high degree of parasite faunal overlap between M. rhinoceros and the two Panesthia species is surprising given the disparate ecological niches that they occupy; P. cribrata and P. tryoni tryoni burrow in, and feed upon, moist decaying wood and require a climate that is moist all year round, whereas M. rhinoceros burrows in loose soil, feeds on fallen leaf litter and is tolerant of much drier environments.

What determines the finance-growth nexus? Empirical evidence for threshold models

This paper elaborates the notion of balanced'' financial development that is contingent on a country's general level of development. We develop an empirical framework to address this point, referring to threshold regressions and a bootstrap test for structural shift in a growth equation. We find that countries gain less from financial activity, if the latter fails to keep up with or exceeds what would follow from a balanced expansion path. These analyses contribute to the finance and growth literature in providing empirical support for the balanced'' financial development hypothesis.

A new instrument for targeting falls prevention interventions was accurate and clinically applicable in a hospital setting

Background and Objective: To describe the diagnostic accuracy and practical application of the Peter James Centre Falls Risk Assessment Tool (PJC-FRAT), a multidisciplinary falls risk screening and intervention deployment instrument. Methods: In phase 1, the accuracy of the PJC-FRAT was prospectively compared to a gold standard (the STRATIFY) on a cohort of subacute hospital patients (n = 122). In phase 2, the PJC-FRAT was temporally reassessed using a subsequent cohort (n = 316), with results compared to those of phase 1. Primary outcomes were falls (events), fallers (patients who fell), and hospital completion rates of the PJC-FRAT. Results: In phase 1, PJC-FRAT accuracy of identifying falters showed sensitivity of 73% (bootstrap 95% confidence interval CI = 55, 90) and specificity of 75% (95% CI = 66, 83), compared with the STRATIFY (cutoff >= 2/5) sensitivity of 77% (95% CI = 59, 92) and specificity of 51% (95% CI = 41, 61). This difference was not significant. In phase 2, accuracy of nursing staff using the PJC-FRAT was lower. PJC-FRAT completion rates varied among disciplines over both phases: nurses and physiotherapists, >= 90%; occupational therapists, >= 82%; and medical officers, >= 57%. Conclusion: The PJC-FRAT was practical and relatively accurate as a predictor of falls and a deployment instrument for falls prevention interventions, although continued staff education may be necessary to maintain its accuracy. (c) 2006 Elsevier Inc. All rights reserved.

A D-optimal designed population pharmacokinetic study of itraconazole capsules and solution in adults with cystic fibrosis

Background: Oral itraconazole (ITRA) is used for the treatment of allergic bronchopulmonary aspergillosis in patients with cystic fibrosis (CF) because of its antifungal activity against Aspergillus species. ITRA has an active hydroxy-metabolite (OH-ITRA) which has similar antifungal activity. ITRA is a highly lipophilic drug which is available in two different oral formulations, a capsule and an oral solution. It is reported that the oral solution has a 60% higher relative bioavailability. The influence of altered gastric physiology associated with CF on the pharmacokinetics (PK) of ITRA and its metabolite has not been previously evaluated. Objectives: 1) To estimate the population (pop) PK parameters for ITRA and its active metabolite OH-ITRA including relative bioavailability of the parent after administration of the parent by both capsule and solution and 2) to assess the performance of the optimal design. Methods: The study was a cross-over design in which 30 patients received the capsule on the first occasion and 3 days later the solution formulation. The design was constrained to have a maximum of 4 blood samples per occasion for estimation of the popPK of both ITRA and OH-ITRA. The sampling times for the population model were optimized previously using POPT v.2.0.[1] POPT is a series of applications that run under MATLAB and provide an evaluation of the information matrix for a nonlinear mixed effects model given a particular design. In addition it can be used to optimize the design based on evaluation of the determinant of the information matrix. The model details for the design were based on prior information obtained from the literature, which suggested that ITRA may have either linear or non-linear elimination. The optimal sampling times were evaluated to provide information for both competing models for the parent and metabolite and for both capsule and solution simultaneously. Blood samples were assayed by validated HPLC.[2] PopPK modelling was performed using FOCE with interaction under NONMEM, version 5 (level 1.1; GloboMax LLC, Hanover, MD, USA). The PK of ITRA and OH‑ITRA was modelled simultaneously using ADVAN 5. Subsequently three methods were assessed for modelling concentrations less than the LOD (limit of detection). These methods (corresponding to methods 5, 6 & 4 from Beal[3], respectively) were (a) where all values less than LOD were assigned to half of LOD, (b) where the closest missing value that is less than LOD was assigned to half the LOD and all previous (if during absorption) or subsequent (if during elimination) missing samples were deleted, and (c) where the contribution of the expectation of each missing concentration to the likelihood is estimated. The LOD was 0.04 mg/L. The final model evaluation was performed via bootstrap with re-sampling and a visual predictive check. The optimal design and the sampling windows of the study were evaluated for execution errors and for agreement between the observed and predicted standard errors. Dosing regimens were simulated for the capsules and the oral solution to assess their ability to achieve ITRA target trough concentration (Cmin,ss of 0.5-2 mg/L) or a combined Cmin,ss for ITRA and OH-ITRA above 1.5mg/L. Results and Discussion: A total of 241 blood samples were collected and analysed, 94% of them were taken within the defined optimal sampling windows, of which 31% where taken within 5 min of the exact optimal times. Forty six per cent of the ITRA values and 28% of the OH-ITRA values were below LOD. The entire profile after administration of the capsule for five patients was below LOD and therefore the data from this occasion was omitted from estimation. A 2-compartment model with 1st order absorption and elimination best described ITRA PK, with 1st order metabolism of the parent to OH-ITRA. For ITRA the clearance (ClItra/F) was 31.5 L/h; apparent volumes of central and peripheral compartments were 56.7 L and 2090 L, respectively. Absorption rate constants for capsule (kacap) and solution (kasol) were 0.0315 h-1 and 0.125 h-1, respectively. Comparative bioavailability of the capsule was 0.82. There was no evidence of nonlinearity in the popPK of ITRA. No screened covariate significantly improved the fit to the data. The results of the parameter estimates from the final model were comparable between the different methods for accounting for missing data, (M4,5,6)[3] and provided similar parameter estimates. The prospective application of an optimal design was found to be successful. Due to the sampling windows, most of the samples could be collected within the daily hospital routine, but still at times that were near optimal for estimating the popPK parameters. The final model was one of the potential competing models considered in the original design. The asymptotic standard errors provided by NONMEM for the final model and empirical values from bootstrap were similar in magnitude to those predicted from the Fisher Information matrix associated with the D-optimal design. Simulations from the final model showed that the current dosing regimen of 200 mg twice daily (bd) would provide a target Cmin,ss (0.5-2 mg/L) for only 35% of patients when administered as the solution and 31% when administered as capsules. The optimal dosing schedule was 500mg bd for both formulations. The target success for this dosing regimen was 87% for the solution with an NNT=4 compared to capsules. This means, for every 4 patients treated with the solution one additional patient will achieve a target success compared to capsule but at an additional cost of AUD $220 per day. The therapeutic target however is still doubtful and potential risks of these dosing schedules need to be assessed on an individual basis. Conclusion: A model was developed which described the popPK of ITRA and its main active metabolite OH-ITRA in adult CF after administration of both capsule and solution. The relative bioavailability of ITRA from the capsule was 82% that of the solution, but considerably more variable. To incorporate missing data, using the simple Beal method 5 (using half LOD for all samples below LOD) provided comparable results to the more complex but theoretically better Beal method 4 (integration method). The optimal sparse design performed well for estimation of model parameters and provided a good fit to the data.

Use of routine data for determination of the population pharmacokinetics and enteral biovailability of phenytoin in neonates and infants with seizures

Objective: To investigate the population pharmacokinetics and the enteral bioavailability of phenytoin in neonates and infants with seizures. Methods: Data (5 mg kg-1 day-1) from 83 patients were obtained retrospectively from the medical records following written ethical approval. A one-compartment model was fitted to the data using NONMEM with FOCE-interaction. Between-subject variability (BSV) and interoccasion variability (IOV) were modelled exponentially together with a log transform-both-sides exponential residual unexplained variance (RUV) model. Covariates in nested models were screened for significance (X2, 1, 0.01). Model validity was determined by bootstrapping with replacement (N=500 samples) from the dataset. Results: The parameters of final pharmacokinetic were: Clearance (L h-1) = 0.826.(current Weight [kg]/70)0.75.(1+0.0692.(Postnatal age [days]-11)); Volume of distribution (L) = 74.2.(current Weight [kg]/70); Enteral bioavailability = 0.76; Absorption rate constant (h-1) = 0.167. BSV for clearance and volume of distribution were 74.2% and 65.6%, respectively. The IOV in clearance was 54.4%. The RUV was 51.1%. Final model parameters deviated from mean bootstrap estimates by

DESONESTIDADE ACADÊMICA: INTERAÇÃO ENTRE FATORES PESSOAIS E PRÁTICAS DE GRUPO NA ATITUDE DE ESTUDANTES DE IES

O número de Instituições de ensino e alunos têm aumentado e a efetividade na gestão acadêmica torna-se assunto relevante. Simultaneamente ao aumento de estudantes, a tecnologia da informação tem evoluído rapidamente, o que tem propiciado novas oportunidades de ensino e profusão de informações. Infelizmente, no sentido oposto ao da qualidade de ensino, esse cenário tem propiciado o surgimento e crescimento de uma variedade de situações e oportunidades para que o comportamento academicamente desonesto se desenvolva. Uma possível associação entre desonestidade acadêmica e o comportamento antiético no ambiente de trabalho é defendida por vários autores, alertando que comportamentos éticos dos estudantes podem gerar melhores líderes de organizações no futuro e aconselhando que se estabeleçam universidades provedoras de princípios morais e íntegros. O objetivo deste trabalho é contribuir para o entendimento dos fatores antecedentes da atitude dos alunos em relação à desonestidade acadêmica, por meio da identificação das associações que possam existir entre aspectos individuais e de grupo. Fundamentado inicialmente na Theory of Planned Behavior TPB (Teoria do Comportamento Planejado) de AJZEN (1991), e com base em extensa revisão de literatura, criou-se um modelo de pesquisa instrumentalizado como um pré-teste a estudantes de uma IES particular como forma de operacionalizar os construtos, obtendo-se 116 respostas válidas. Os dados foram obtidos a partir de uma survey eletrônica e analisados por Modelagem com Equações Estruturais, em particular com base no algoritmo Partial Least Squares PLS. As estimativas de coeficientes foram feitas pela técnica Bootstrap, com 1000 reamostragens, com reposição. Com base no pré-teste os resultados indicaram que a percepção das práticas do grupo é especialmente influente no comportamento acadêmico desonesto do indivíduo (Beta = 0,39; p< 0,00), mas também que a idade do aluno é inversamente proporcional à intensidade com que essa desonestidade se manifesta (Beta = -0,24; p<0,00). Adicionalmente, a característica pessoal de idealismo mostrou ser provável um fator de contenção da atitude favorável à desonestidade (Beta =-0,25; p<0,05), mas mecanismos como o desengajamento moral indicam sua provável presença identificada (Beta = 0,25; p<0,05), desfavorecendo o processo de autorregulação do aluno, o que amplia a atitude de desonestidade acadêmica. Optou-se pela técnica de análise multivariada com Modelagem de Equações Estruturais, considerada adequada para análise simultânea de relações entre construtos, e considerada uma técnica de caráter confirmatório, utilizada para determinar a validade do modelo teórico diante dos dados observados. Com algumas reformulações no instrumento, foi aplicada uma nova survey, quanto à coleta de dados foi aplicado um questionário eletrônico operado na plataforma Surveymonkey. O link do questionário foi enviado á uma população de 2000 alunos obtendo como retorno 146 respostas válidas. Nos resultados apresentados na pesquisa final destacam-se a influência da Percepção Social no comportamento da desonestidade acadêmica com coeficiente altamente significante (0,446***), também o desengajamento Moral frente à atitude e a Intenção/Comportamento com resultados expressivos quanto a influência do fator idade, apresentando o coeficiente (-0,156***). O estudo indica a possível existência de várias implicações para o gestor e para a comunidade acadêmica, permitindo desdobramentos em pesquisas futuras

O IMPACTO DA INFLUÊNCIA SOCIAL SOBRE A INTENÇÃO DE USO DE SITES DE COMPRAS COLETIVAS: UM ESTUDO BASEADO NO MODELO UTAUT

A aceitação e o uso de Tecnologia da Informação (TI) pelo indivíduo têm sido estudadas por diferentes modelos conceituais que, em geral, derivaram de teorias da Psicologia como a TRA Theory of Reasoned Action e a TPB Theory of Planned Behavior, derivada da primeira. Um importante modelo de análise dai derivado, resultado da minuciosa análise de outros 8 modelos anteriores, o UTAUT - Unified Theory of Acceptance and Use of Technology de VENKATESH et. al. (2003) tem sido largamente analisado e validado em vários cenários de tecnologia e ambientes. Este trabalho visa compreender de uma maneira mais ampla dos fatores antecedentes da intenção de uso e comportamento de uso a partir do modelo UTAUT, bem como os fatores que melhores explicam a intenção e o comportamento de uso, assim como a análise de seus moderadores. Em seu desenvolvimento, Venkatesh et al. empreenderam comparações em três etapas de implantação e em dois cenários: na adoção mandatória, aquela em que se deu em ambiente empresarial onde o sistema é requerido para execução de processos e tomada de decisões, e na adoção voluntária, cenário em que a adoção se dá pelo indivíduo. No segundo caso, os autores concluíram que o fator influência social tem baixa magnitude e significância, não se revelando um fator importante na adoção da tecnologia. Este trabalho visa analisar também se o mesmo fenômeno ocorre para adoção que se dá de forma voluntária, mas passível de ser altamente influenciada pelos laços sociais, como o que ocorre entre usuários das redes sociais como Orkut, Facebook, Twitter e Linkedin, especialmente em tecnologias que habilitam ganhos associados ao exercício desses laços, como no caso do uso de sites de compras coletivas tais como Peixe Urbano, Groupon e Clickon. Com base no modelo UTAUT, foi aplicada uma pesquisa e posteriormente foram analisados os resultados de 292 respondentes validados que foram acessados por e-mails e redes sociais. A técnica de análise empregada consistiu do uso de modelagem por equações estruturais, com base no algoritmo PLS Partial Least Square, com bootstrap de 1000 reamostragens. Os resultados demonstraram alta magnitude e significância preditiva sobre a Intenção de uso da tecnologia pelos fatores de Expectativa de Desempenho (0,288@0,1%), Influência Social (0,176@0,1%). Os primeiro, compatível com estudos anteriores. Já a magnitude e significância do último fator resultou amplamente superior ao estudo original de Venkatesh et al. (2003) variando entre 0,02 a 0,04, não significante, dependendo dos dados estarem agrupados ou não (p.465). A principal conclusão deste estudo é que, ao considerarmos o fenômeno das compras coletivas, em um ambiente de adoção voluntária, portanto, o fator social é altamente influente na intenção de uso da tecnologia, o que contrasta fortemente com o estudo original do UTAUT (já que no estudo de Venkatesh et al. (2003) este fator não foi significante) e apresenta várias possibilidades de pesquisas futuras e possíveis implicações gerenciais.

AVALIAÇÃO DA ACEITAÇÃO DO PORTAL INOVAÇÃO: UM ESTUDO DE CASO

Esta pesquisa apresenta estudo de caso cujo objetivo foi analisar a aceitação do Portal Inovação, identificando os fatores preditivos da intenção comportamental de uso e do comportamento de uso direcionadores da adoção da tecnologia por seus usuários via extensão do Modelo Unificado de Aceitação de Tecnologia, denominado pela sigla UTAUT (Unified Theory of Acceptance and Use of Technololgy) de Venkatesh et al. (2003). O objeto da pesquisa o Portal Inovação foi desenvolvido pelo Ministério da Ciência, Tecnologia e Inovação (MCTI) em parceria com o Centro de Gestão e Estudos Estratégicos (CGEE), Associação Brasileira de Desenvolvimento Industrial (ABDI) e Instituto Stela, visando atender às demandas do Sistema Nacional de Ciência, Tecnologia e Inovação (SNCTI) do País. Para atingir os objetivos propostos, recorreu-se às abordagens qualitativa, que foi subsidiada pelo método estudo de caso (YIN, 2005) e quantitativa, apoiada pela metodologia UTAUT, aplicada a usuários do portal e que contemplou o resultado de 264 respondentes validados. Quanto ao material de análise, utilizou-se da pesquisa bibliográfica sobre governo eletrônico (e-Gov), Internet, Sistema Nacional de Inovação, modelos de aceitação de tecnologia, dados oficiais públicos e legislações atinentes ao setor de inovação tecnológica. A técnica de análise empregada quantitativamente consistiu no uso de modelagem por equações estruturais, com base no algoritmo PLS (Partial Least Square) com bootstrap de 1.000 reamostragens. Os principais resultados obtidos demonstraram alta magnitude e significância preditiva sobre a Intenção Comportamental de Uso do Portal pelos fatores: Expectativa de Desempenho e Influência Social. Além de evidenciarem que as condições facilitadoras impactam significativamente sobre o Comportamento de Uso dos usuários. A conclusão principal do presente estudo é a de que ao considerarmos a aceitação de um portal governamental em que a adoção é voluntária, o fator social é altamente influente na intenção de uso da tecnologia, bem como os aspectos relacionados à produtividade consequente do usuário e o senso de utilidade; além da facilidade de interação e domínio da ferramenta. Tais constatações ensejam em novas perspectivas de pesquisa e estudos no âmbito das ações de e-Gov, bem como no direcionamento adequado do planejamento, monitoramento e avaliação de projetos governamentais.

RELAÇÃO ENTRE ESTILO DE LIDERANÇA E COMPROMETIMENTO ORGANIZACIONAL AFETIVO

A organização necessita de um capital humano efetivamente disposto a contribuir com as suas estratégias e metas. Vários estudos já comprovaram que o comprometimento das pessoas influencia nos resultados. O que mais tem relação com o desempenho é o comprometimento afetivo. As lideranças, através dos seus estilos, podem também contribuir para gerar um desempenho e resultados melhores para as organizações. O objetivo desta pesquisa foi analisar a relação entre os estilos de liderança e o comprometimento organizacional afetivo. Utilizando o método quantitativo, instrumento para coleta de dados foi construído um questionário de autopreenchimento composto por três escalas que medem as variáveis da pesquisa. Os dados, todos de natureza numérica, formaram um banco eletrônico que foi analisado por meio de estatística descritiva e multivariadas do teste de correlação de Pearson do software SPSS, versão 19.0. A pesquisa foi realizada com 92 trabalhadores de uma empresa privada na cidade de São Paulo, utilizando a escala de Siqueira (2008) para medir o comprometimento organizacional afetivo dos trabalhadores e a escala de avaliação do estilo gerencial de Melo (2004) para identificar o perfil dos líderes destes trabalhadores na visão dos mesmos, porem com variações em função do tamanho da amostra, reveladas pelo valor do t de Student nos teste de Bootstrap. Foram analisadas as correlações entre os três estilos de liderança tarefa, relacionamento e situacional com o comprometimento organizacional afetivo. As análises revelaram fracas correlações entre os estilos de liderança e o comprometimento organizacional afetivo, sendo significativas (com erro inferior a 5%) as correlações do comprometimento com o estilo tarefa e com o estilo situacional, porém com variações em função do tamanho da amostra. Estes resultados contribuem para o aprimoramento dos processos de gestão de pessoas, sendo úteis para as áreas de Recursos Humanos de maneira geral, a fim de promover melhorias no desenvolvimento das lideranças e no comprometimento das pessoas através das políticas da organização.