Toward a dialect theory: cultural differences in the expression and recognition of posed facial expressions

Two studies provided direct support for a recently proposed dialect theory of communicating emotion, positing that expressive displays show cultural variations similar to linguistic dialects, thereby decreasing accurate recognition by out-group members. In Study 1, 60 participants from Quebec and Gabon posed facial expressions. Dialects, in the form of activating different muscles for the same expressions, emerged most clearly for serenity, shame, and contempt and also for anger, sadness, surprise, and happiness, but not for fear, disgust, or embarrassment. In Study 2, Quebecois and Gabonese participants judged these stimuli and stimuli standardized to erase cultural dialects. As predicted, an in-group advantage emerged for nonstandardized expressions only and most strongly for expressions with greater regional dialects, according to Study 1.     

Differences in inter-rater reliability and accuracy for a treatment adherence scale

Inter-rater reliability and accuracy are measures of rater performance. Inter-rater reliability is frequently used as a substitute for accuracy despite conceptual differences and literature suggesting important differences between them. The aims of this study were to compare inter-rater reliability and accuracy among a group of raters, using a treatment adherence scale, and to assess for factors affecting the reliability of these ratings. Paired undergraduate raters assessed therapist behavior by viewing videotapes of 4 therapists' cognitive behavioral therapy sessions. Ratings were compared with expert-generated criterion ratings and between raters using intraclass correlation (2,1). Inter-rater reliability was marginally higher than accuracy (p = 0.09). The specific therapist significantly affected inter-rater reliability and accuracy. The frequency and intensity of the therapists' ratable behaviors of criterion ratings correlated only with rater accuracy. Consensus ratings were more accurate than individual ratings, but composite ratings were not more accurate than consensus ratings. In conclusion, accuracy cannot be assumed to exceed inter-rater reliability or vice versa, and both are influenced by multiple factors. In this study, the subject of the ratings (i.e. the therapist and the intensity and frequency of rated behaviors) was shown to influence inter-rater reliability and accuracy. The additional resources needed for a composite rating, a rating based on the average score of paired raters, may be justified by improved accuracy over individual ratings. The additional time required to arrive at a consensus rating, a rating generated following discussion between 2 raters, may not be warranted. Further research is needed to determine whether these findings hold true with other raters and treatment adherence scales.     

Support vector machine for classification of walking conditions of persons after stroke with dropped foot

Walking with dropped foot represents a major gait disorder, which is observed in hemiparetic persons after stroke. This study explores the use of support vector machine (SVMs) to classify different walking conditions for hemiparetic subjects. Seven participants with dropped foot (category 4 of functional ambulatory category) walked in five different conditions: level ground, stair ascent, stair descent, upslope, and downslope. The kinematic data were measured by two portable sensor units, each comprising an accelerometer and gyroscope attached to the lower limb on the shank and foot segments. The overall classification accuracy of stair ascent, stair descent, and other walking conditions was 92.9% using input features from the sensor attached to the shank. It was further improved to 97.5% by adding two more inputs from the sensor attached to the foot. Stair ascent was also classified by the inputs from the foot sensor unit with 96% accuracy. The performance of an SVM was shown to be superior to that of other machine learning methods using artificial neural networks (ANN) and radial basis function neural networks (RBF). The results suggested that the SVM classification method could be applied as a tool for pathological gait analysis, pattern recognition, control signals in functional electrical stimulation (FES) and rehabilitation robot, as well as activity monitoring during rehabilitation of daily activities.     

What is the temperamental basis of humour like in China? A cross-national examination and validation of the standard version of the state–trait cheerfulness inventory

The State–Trait Cheerfulness Inventory–trait version (STCI-T60) consists of three dimensions of cheerfulness, seriousness, and bad mood integrated to measure the temperamental basis of the sense of humour. The present study replicated the three-dimensional factor structure of the STCI in China using 60 items consistent with other standard trait versions (e.g., English, Chilean-Spanish). Closer examination of associations between traits suggested bad mood showed curvilinear associations with both cheerfulness and seriousness, such that cheerfulness and bad mood were negatively associated for those low and average in trait bad mood but not for those with high trait bad mood. Seriousness was positively associated with bad mood at high levels of trait bad mood, but not at average or low levels of bad mood. Associations between the STCI traits and major personality dimensions, humour styles, and well-being were further examined. Cheerfulness and seriousness showed positive associations with satisfaction with life and emotional well-being (EWB) while bad mood showed a curvilinear association with EWB. Using multi-group confirmatory factor analyses, partial metric invariance was found between English and Chinese versions of the STCI-T60, but structural invariance was not observed. Implications based on the empirical literature in dialecticism and cross-cultural assessment were thoroughly discussed.     

Leadership as a Reflection of Who We Are: Social Identity,Media Portrayal,and Evaluations of Hillary Clinton in the 2016 U.S. Presidential Election

Sex Roles - The 2016 U.S. Presidential election presented a unique opportunity to study gender and leadership. Using the social identity theory of leadership (Hogg 2001) as a guiding...     

Gender Schema and Social Judgments: A Developmental Study of Children from Hong Kong

The purpose of the study was to examine inferences and judgments of gender schematic and aschematic children. Kindergarten, third grade, and sixth grade Hong Kong Chinese children (n = 196) were categorized into schematic and aschematic groups on the basis of their reaction times to gender-stereotypic and counterstereotypic items. The children were then asked to make several inferences and judgments about four male and female targets behaving gender-stereotypically or counterstereotypically. Both age and gender schematicity were related to the children's inferences. Older children and gender-schematic children relied more on individuating information and younger children relied more on the gender label. The results are discussed within the framework of gender-schema theories.     

Googling Politics: How Offloading Affects Voting and Political Knowledge

Studies suggest that individuals are less likely to process information they can easily look up. Instead of committing information to memory, they rely on the Internet to store information for them—a phenomenon known as “offloading.” We examine the effects of offloading on political knowledge and voting behavior. Using data from a 10-wave panel experiment designed to study information processing in two distinct information environments, we demonstrate that people whose environment is conducive to offloading learn more during an election campaign than individuals whose information environment is not conducive to offloading, even though they look at less information during the campaign. Individuals in the offloading condition also make better vote choices despite examining less information. These results suggest that offloading reduces cognitive load, thereby freeing up processing space in working memory, which can increase learning of information that is accessed, and improve decision-making.     

Place‐value understanding in number line estimation predicts future arithmetic performance

In multi‐digit numbers, the value of each digit is determined by its position within the digit string. Children's understanding of this place‐value structure constitutes a building block for later arithmetic skills. We investigated whether a number line estimation task can provide an assessment of place‐value understanding in first grade. We hypothesized that estimating the position of two‐digit numbers requires place‐value understanding. Therefore, we fitted a linear function to children's estimates of two‐digit numbers and considered the resulting slope as a measure of children's place‐value understanding. We observed a significant correlation between this slope and children's performance in a transcoding task known to require place‐value understanding. Additionally, the slope for two‐digit numbers assessed at the beginning of grade 1 predicted children's arithmetic performance at the end of grade 1. These results indicate that the number line estimation task may indeed constitute a valid measure for first‐graders' place‐value understanding. Moreover, these findings are hard to reconcile with the view that number line estimation directly assesses a spatial representation of numbers. Instead, our results suggest that numerical processes involved in performing the task (such as place‐value understanding) may drive the association between number line estimation and arithmetic performance.