Gait speed measure: the effect of different measuring distances and the inclusion and exclusion of acceleration and deceleration

The purposes of this study were to examine the effects of different distances and the inclusion and exclusion of acceleration and deceleration distances on the measurement of self-paced and fastest gait speeds in younger and older adults. The self-paced and fastest gait speeds of younger and older adults were measured over 4-m and 10-m walkways with the acceleration and deceleration distances included and excluded in the measuring distance. The results indicated gait speeds (both self-paced and fastest) measured over different distances were comparable only if a distance for acceleration and deceleration was excluded from the measuring distance to obtain stable and comparable gait speeds. Similar results were found for younger and older groups.     

Am I the Only One This Supervisor is Laughing at? Effects of Aggressive Humor on Employee Strain and Addictive Behaviors

Prior literature on humor primarily documents its positive effects on employees’ attitudes and behaviors, though increasing research on aggressive humor suggests some conflicting viewpoints. This paper proposes a model based on social comparison and attribution theories to examine the influence of supervisors’ aggressive humor on employees’ strain and addictive behaviors. The tests of the research model entailed a 2‐wave study with 243 frontline employees from 4 manufacturing companies of a group corporation in China. The results showed that supervisors’ aggressive humor with employees related positively to employees’ strain. This positive association became stronger when the supervisors did not use aggressive humor with the peers of the focal employees. Employees’ strain mediated the interactive effects of supervisors’ aggressive humor with the focal employees and those with their peers on employees’ addictive behaviors (e.g., problematic use of Internet, alcohol, and tobacco). As well as having practical implications, this study offers theoretical insights for research into humor, leadership, and addictive behaviors.     

Modeling cross-situational word-referent learning: prior questions

Both adults and young children possess powerful statistical computation capabilities--they can infer the referent of a word from highly ambiguous contexts involving many words and many referents by aggregating cross-situational statistical information across contexts. This ability has been explained by models of hypothesis testing and by models of associative learning. This article describes a series of simulation studies and analyses designed to understand the different learning mechanisms posited by the 2 classes of models and their relation to each other. Variants of a hypothesis-testing model and a simple or dumb associative mechanism were examined under different specifications of information selection, computation, and decision. Critically, these 3 components of the models interact in complex ways. The models illustrate a fundamental tradeoff between amount of data input and powerful computations: With the selection of more information, dumb associative models can mimic the powerful learning that is accomplished by hypothesis-testing models with fewer data. However, because of the interactions among the component parts of the models, the associative model can mimic various hypothesis-testing models, producing the same learning patterns but through different internal components. The simulations argue for the importance of a compositional approach to human statistical learning: the experimental decomposition of the processes that contribute to statistical learning in human learners and models with the internal components that can be evaluated independently and together.     

Competition and cooperation among similar representations: toward a unified account of facilitative and inhibitory effects of lexical neighbors

One of the core principles of how the mind works is the graded, parallel activation of multiple related or similar representations. Parallel activation of multiple representations has been particularly important in the development of theories and models of language processing, where coactivated representations (neighbors) have been shown to exhibit both facilitative and inhibitory effects on word recognition and production. Researchers generally ascribe these effects to interactive activation and competition, but there is no unified explanation for why the effects are facilitative in some cases and inhibitory in others. We present a series of simulations of a simple domain-general interactive activation and competition model that is broadly consistent with more specialized domain-specific models of lexical processing. The results showed that interactive activation and competition can indeed account for the complex pattern of reversals. Critically, the simulations revealed a core computational principle that determines whether neighbor effects are facilitative or inhibitory: strongly active neighbors exert a net inhibitory effect, and weakly active neighbors exert a net facilitative effect.     

ERP correlates of language-specific processing of auditory pitch feedback during self-vocalization

The present study investigated whether the neural correlates for auditory feedback control of vocal pitch can be shaped by tone language experience. Event-related potentials (P2/N1) were recorded from adult native speakers of Mandarin and Cantonese who heard their voice auditory feedback shifted in pitch by −50, −100, −200, or −500 cents when they sustained the vowel sound /u/. Cantonese speakers produced larger P2 amplitudes to −200 or −500 cents stimuli than Mandarin speakers, but this language effect failed to reach significance in the case of −50 or −100 cents. Moreover, Mandarin speakers produced shorter N1 latencies over the left hemisphere than the right hemisphere, whereas Cantonese speakers did not. These findings demonstrate that neural processing of auditory pitch feedback in vocal motor control is subject to language-dependent neural plasticity, suggesting that cortical mechanisms of auditory-vocal integration can be shaped by tone language experience.     

Self-compassion increases self-improvement motivation

Can treating oneself with compassion after making a mistake increase self-improvement motivation? In four experiments, the authors examined the hypothesis that self-compassion motivates people to improve personal weaknesses, moral transgressions, and test performance. Participants in a self-compassion condition, compared to a self-esteem control condition and either no intervention or a positive distraction control condition, expressed greater incremental beliefs about a personal weakness (Experiment 1); reported greater motivation to make amends and avoid repeating a recent moral transgression (Experiment 2); spent more time studying for a difficult test following an initial failure (Experiment 3); exhibited a preference for upward social comparison after reflecting on a personal weakness (Experiment 4); and reported greater motivation to change the weakness (Experiment 4). These findings suggest that, somewhat paradoxically, taking an accepting approach to personal failure may make people more motivated to improve themselves.     

Culture and social support provision: who gives what and why

The present research examined cultural differences in the type and frequency of support provided as well as the motivations underlying these behaviors. Study 1, an open-ended survey, asked participants about their social interactions in the past 24 hours and found that European Americans reported providing emotion-focused support more frequently than problem-focused support, whereas Japanese exhibited the opposite pattern. Study 2, a closed-ended questionnaire study, found that, in response to the close other's big stressor, European Americans provided more emotion-focused support whereas Japanese provided equivalent amounts of emotion-focused and problem-focused support. In addition, Study 2 examined motivational explanations for these differences. Social support provision was motivated by the goal of closeness and increasing recipient self-esteem among European Americans, but only associated with the motive for closeness among Japanese. These studies illustrate the importance of considering cultural context and its role in determining the meaning and function of various support behaviors.     

A smarter brain is associated with stronger neural interaction in healthy young females: A resting EEG coherence study

General intelligence, the g factor, is a major issue in psychology and neuroscience. However, the neural mechanism of the g factor is still not clear. It is suggested that the g factor should be non-modular (a property across the brain) and show good colinearity with various cognitive tests. This study examines the hypothesis that functional connectivity may be a good candidate for the g factor. We recorded resting state eyes-closed EEG signals in 184 healthy young females. Coherence values of 38 selected channel pairs across delta, theta, alpha, beta and gamma frequencies were correlated with six intelligence quotient (IQ) subtests, including symbol search, block design, object assembly, digit span, similarity and arithmetic. A three-stage analytic flow was constructed to delineate common (g factor) and unique neural components of intelligence. It is noticed that the coherence pattern demonstrates good correlation with five of the IQ subtests (except symbol search) and non-modularity in the brain. Our commonality analyses support connectivity strength in the brain as a good indicator of the g factor. For the digit span and arithmetic tests, the uniqueness analyses provide left-lateralized topography relevant to the operation of working memory. Performance on the arithmetic test is further correlated with strengths at left temporo-parietal and bilateral temporal connections. All the significant correlations are positive, indicating that the stronger the connectivity strengths, the higher the intelligence. Our analyses conclude that a smarter brain is associated with stronger interaction in the central nervous system. The implication and why the symbol search does not show parallel results are discussed.     

Frequency of borderline personality disorder among psychiatric outpatients in Shanghai

The objective of this study was to investigate the frequency, clinical characteristics, and comorbidity of borderline personality disorder (BPD) among psychiatric outpatients in two clinics at Shanghai Mental Health Center. A cross-sectional investigation was conducted. From 3,075 outpatients screened using the Personality Diagnostic Questionnaire-IV+, 2,284 patients positive for a personality disorder were assessed using the Structured Clinical Interview for DSM-IV Personality Disorders. The frequency of BPD among the psychiatric outpatients was 5.8%, with a frequency of 3.5% among males and 7.5% among females (p < .01). BPD was found to have extensive comorbidity with Axis I and II disorders. This study proves that BPD does occur in China. The detected frequency among outpatients is lower than that reported in North America.     

Early predictors of high school mathematics achievement

Identifying the types of mathematics content knowledge that are most predictive of students' long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students' knowledge of algebra and overall mathematics achievement. Analyses of large, nationally representative, longitudinal data sets from the United States and the United Kingdom revealed that elementary school students' knowledge of fractions and of division uniquely predicts those students' knowledge of algebra and overall mathematics achievement in high school, 5 or 6 years later, even after statistically controlling for other types of mathematical knowledge, general intellectual ability, working memory, and family income and education. Implications of these findings for understanding and improving mathematics learning are discussed.