Maria Cecilia Mendes Barreto

Habilidades sociais de estudantes de Psicologia: um estudo multicêntrico

Social skills occurring in a high frequency and low variability can be taken as patterns, suggesting cultural or sub-cultural features which are important when selecting instruments for evaluation and planning interventions. This research aimed to characterize the social skills repertoire among Psychology students from 4 Brazilian places: Sao Paulo (SP), Bahia (BA), Minas Gerais (MG)e Rio de Janeiro (RJ), also examining their differences and the influence of sex and age on their patterns. Five hundred sixty four Psychology undergraduates completed a self-report inventory (IHS-del-Prette) with a structure of 5 factors: F1) coping and assertion; F2) expressing positive affection; F3) talking and self-confidence; F4) dealing with unknown people and new situations; F5) aggressiveness self-control. The samples were compared considering general (GS) and factorial (F1, F2, F3, F4 e F5) scores as well as sex and age influence in each one (ANOVA, followed by t or Scheffe test). The results showed that: a) Psychology students presented higher scores than normative sample in the GS, F1, F3 and F4 and lower in the F2 and F5, but sex differences were similar to the normative pattern; b) place, sex and age significantly affected the scores, with place-sex and place-age interactions; c) samples from MG, BA, RJ and SP presented similar profiles, with higher values for RJ in the F1 and for MG and SP in the F2 and F5; d) students from BA presented the highest sex differences and from RJ the lowest ones; e) age differences occurred in the F4 (favorable to younger students for SP) and in the F5 (favorable to older ones for BA and RJ). The meaning of these differences and similarities are discussed as well as some explanatory hypotheses and questions for further studies.

Best linear unbiased estimators for the simple linear regression model using ranked set sampling

When sample observations are expensive or difficult to obtain, ranked set sampling is known to be an efficient method for estimating the population mean, and in particular to improve on the sample mean estimator. Using best linear unbiased estimators, this paper considers the simple linear regression model with replicated observations. Use of a form of ranked set sampling is shown to be markedly more efficient for normal data when compared with the traditional simple linear regression estimators.

Estimators for a Poisson parameter using ranked set sampling

Using ranked set sampling, a viable BLUE estimator is obtained for estimating the mean of a Poisson distribution. Its properties, such as efficiency relative to the ranked set sample mean and to the maximum likelihood estimator, have been calculated for different sample sizes and values of the Poisson parameter. The estimator (termed the normal modified r.s.s. estimator is more efficient than both the ranked set sample mean and the MLE. It is recommended as a reasonable estimator of the Poisson mean ( u ) to be used in a ranked set sampling environment.

Identifying production planning and control top authors: analysis of a survey

Although the production planning and control (PPC) area is not recent and a large number of research articles have been written on the subject, there is no agreement regarding who the PPC top authors are. The main goal of this article is to identify the top PPC authors by means of a survey on PPC researchers. The 10 top PPC authors were identified, as well as their influence (direct, indirect, or concerning some specific PPC problem) and impact (in theory or in an industry; PPC teaching or research) on the PPC area. The main contributions of this article are as follows: (1) to identify (among a great number of books regarding PPC) the books that have more influence on the PPC area; (2) to guide the study of PPC by means of presenting the main books and authors of PPC; (3) to show the most valuable work of the PPC top authors, initiating a process of determining who the PPC gurus are.

Identificação dos principais autores em planejamento e controle da produção por meio de um survey mundial com pesquisadores da área

Although the Production Planning and Control (PPC) area is very old and has a large number of research papers written, it has no agreement regarding who are the PPC top authors. The main aim of this paper is to identify the PPC top authors by means of a survey with PPC researchers. Ten PPC top authors were identified, as well as their influence (direct or indirect or about some specific PPC problem) and impact (in industry or in theory and in research or in PPC teaching) in the PPC area. The main contributions of this paper are: i) identify, among a great number of books regarding PPC, which books have more influence on the PPC area; ii) guide the study of the PPC by means of presenting the main books and authors of PPC; iii) value the PPC top authors, serving as a first step in determining the PPC gurus.