Effect of outliers on the GFI quality adjustment index in structural equation model and proposal of alternative indices

This work is intended to suggest modifications in the construction of the GFI index using robust methods for estimating the unrestricted sample covariance matrix, leading to new indices called GFI_(MCD) and GFI_(MVE). The validation of this proposal was made using Monte Carlo simulation methods, considering differences between the unrestricted sample covariance matrix and those imposed by the structural model, and different numbers of outliers generated by distributions with deviations from symmetry and excess kurtosis. It was concluded that for larger samples size (n ? 100), given that the outliers are from distributions that are symmetrical, the GFI_(MCD) and GFI_(MVE) present similar results, including samples with high percentages of outliers.     

Bridging semantic and social network analyses: the case of the hashtag #precisamosfalarsobreaborto (we need to talk about abortion) on Twitter

This paper presents an innovative method design that combines semantic with social network analysis in order to measure opinion leadership in social networking sites in a more accurate way. We used this method to assess the efficacy of the TPM magazine in disseminating its pro-decriminalization of abortion frames (contained in the cover story of its 148th issue) that were associated with the hashtag #precisamosfalarsobreaborto (a trending topic in November 2014). The data were collected from Twitter through the data-mining application NodeXL (N?=?1010). A content analysis of a random sample was carried out (N?=?376; margin of error?=?4%; confidence interval?=?95%; Krippendorff’s alpha?=?0.661). Using the software Gephi, we plotted the data on a socio-semantic graph, which indicates that (a) the border of the social network does not represent a semantic gap with the center and (b) despite the network being extremely like-minded, one of its hubs appears to be what we conceptualize as a hotspot of contestation. We discuss how future research may replicate and refine our methodology to handle population datasets and big data as well.     

What is the Melody of That Voice? Probing Unbiased Recognition Accuracy with the Montreal Affective Voices

The present study aimed to clarify how listeners decode emotions from human nonverbal vocalizations, exploring unbiased recognition accuracy of vocal emotions selected from the Montreal Affective Voices (MAV) (Belin et al. in Trends Cognit Sci 8:129–135, 2008. doi: 10.1016/j.tics.2004.01.008). The MAV battery includes 90 nonverbal vocalizations expressing anger, disgust, fear, pain, sadness, surprise, happiness, sensual pleasure, as well as neutral expressions, uttered by female and male actors. Using a forced-choice recognition task, 156 native speakers of Portuguese were asked to identify the emotion category underlying each MAV sound, and additionally to rate the valence, arousal and dominance of these sounds. The analysis focused on unbiased hit rates (H_u Score; Wagner in J Nonverbal Behav 17(1):3–28, 1993. doi: 10.1007/BF00987006), as well as on the dimensional ratings for each discrete emotion. Further, we examined the relationship between categorical and dimensional ratings, as well as the effects of speaker’s and listener’s sex on these two types of assessment. Surprise vocalizations were associated with the poorest accuracy, whereas happy vocalizations were the most accurately recognized, contrary to previous studies. Happiness was associated with the highest valence and dominance ratings, whereas fear elicited the highest arousal ratings. Recognition accuracy and dimensional ratings of vocal expressions were dependent both on speaker’s sex and listener’s sex. Further, discrete vocal emotions were not consistently predicted by dimensional ratings. Using a large sample size, the present study provides, for the first time, unbiased recognition accuracy rates for a widely used battery of nonverbal vocalizations. The results demonstrated a dynamic interplay between listener’s and speaker’s variables (e.g., sex) in the recognition of emotion from nonverbal vocalizations. Further, they support the use of both categorical and dimensional accounts of emotion when probing how emotional meaning is decoded from nonverbal vocal cues.     

Exergames: the role of ergonomics and design in helping to control childhood obesity through physical and functional exercise program

In the area of the design and physiotherapy, the using of virtual technologies for immersion of users are spreading. And this affirmation extends to several areas of knowledge. In games, the quote is, resources are being used to work cognitive skills, attention, memory, among other factors beside the children. Currently, at the expense of usability, low cost, virtual technologies of perception and interaction, as Nintendo Wii, X-Box 360, among others, arises therefore a new class of games called Exergames, which is the union of physical activity the game. This fact gives users the development of sensory and motor skills through virtual reality mechanisms suitable for certain needs. This literature review aimed to provide an overview of the current context of Exergames, especially in use for controlling childhood obesity, which is growing alarmingly, with some features, applications and possibilities for use at the design and other areas such as physiotherapy.     

A children, teachers and designers as evaluators of usability of educational software

This article sets out to discuss the results of evaluations of usability made by children, teachers and designers through methods targeted on their profiles and contexts of use. Based on a survey of methods for evaluating usability, a field study was conducted in which such users--stakeholders--explored the educational software called "Mundo da Crian?a" ("Child's World"). The focus of this study was the analysis of this system and principally of the appropriateness of methods as to the avenues they suggest such users and contexts might explore.     

An anthropometric survey using digital photogrammetry: a case study in Recife, Pernambuco, Brazil

This study was carried out in a partnership with the Federal University of Pernambuco and the Faculty of Human Motricity of the Technical University in Lisbon (Portugal). The aim of the study was the measurement of human body segments throughout the digital photogramety, comparing and analysing data into Recife sample and to validate the Digital System as anthropometric survey tool. The result of the analysis has introduced: Data from the sample; Data by age; Data by Sex; Data by ethnicity; Data by region of birth; Difference of data from population individually. Besides to prove the true efficiency of the software.     

The passing of the shift in aircraft maintenance--a task that produces deaths

Maintenance tasks, especially in heavy maintenance, may not be completed in a single shift. Aircraft maintenance technicians often take work in progress by colleagues, and spend the incomplete work for a change of team. The need for accuracy and efficiency of information transfer in many cases, without having time to have a meeting to pass the service is a crucial aspect of maintenance work. The ideal shift change can occur normally before delivery and continues to proceed normally after delivery. Although a shift change create challenges for communication, they also offer opportunities to detect and correct errors, where the task of delivery is an opportunity to identify the problem and fix it. In this case, the task was done correctly the first round, however, a problem began when the second round took. One example is a case in which the first round have removed a defective part for replacement and let the component of aircraft at end of turn with problems. Instead of ordering and installation of an operational component, the second round was then reinstall the faulty component, not realizing he had information about the problem attached.     

Optimal Inference in Regression Models with Nearly Integrated Regressors

This paper considers the problem of conducting inference on the regression coefficient in a bivariate regression model with a highly persistent regressor. Gaussian asymptotic power envelopes are obtained for a class of testing procedures that satisfy a conditionality restriction. In addition, the paper proposes testing procedures that attain these power envelopes whether or not the innovations of the regression model are normally distributed.