Escapism motive for sport consumption as a predictor of meaning in life

The objective of this study was to examine whether spectator escapism motive for sport consumption could predict meaning in life, and to explore the role of psychological ownership in this relationship. A sample of 806 football spectators (African = 85%, male = 67.4%, Sesotho = 26.2%) completed the Motivation Scale for Sport Consumption (MSSC), the South African Psychological Ownership Questionnaire (SAPOS) and the Meaning in Life Questionnaire (MLQ). Structural equation modelling was utilised to investigate the postulated paths of the structural model. Escapism motive for sport consumption predicted meaning in life among spectators through psychological ownership. The sports escapism motive can yield positive psychological outcomes for sports fans.     

Perfectionism and changes in athlete burnout over three months: Interactive effects of personal standards and evaluative concerns perfectionism

ObjectivesA recent longitudinal study with junior athletes (Madigan, Stoeber, & Passfield, 2015) found perfectionism to predict changes in athlete burnout: evaluative concerns perfectionism predicted increases in burnout over a 3-month period, whereas personal standards perfectionism predicted decreases. The present study sought to expand on these findings by using the framework of the 2 × 2 model of perfectionism (Gaudreau & Thompson, 2010) to examine whether evaluative concerns perfectionism and personal standards perfectionism show interactions in predicting changes in athlete burnout.DesignTwo-wave longitudinal design.MethodThe present study examined self-reported evaluative concerns perfectionism, personal standards perfectionism, and athlete burnout in 111 athletes (mean age 24.8 years) over 3 months of active training.Results and conclusionWhen moderated regression analyses were employed, interactive effects of evaluative concerns perfectionism × personal standards perfectionism were found indicating that personal standards perfectionism buffered the effects of evaluative concerns perfectionism on total burnout and physical/emotional exhaustion. To interpret these effects, the 2 × 2 model of perfectionism provides a useful theoretical framework.     

Evaluating the temporal structure and correlates of daily self-esteem using a trait state error framework (TSE)

This study evaluates the temporal structure of daily self-esteem and the relative contribution of a range of theoretically motivated predictors of daily self-esteem. To assess self-esteem stability, a daily version of the Rosenberg Self-Esteem scale (RSE, Rosenberg, 1965) was administered to 278 undergraduates for five consecutive days. These short-term longitudinal data were analysed using the Trait State Error (TSE) modelling framework. The TSE decomposes multi-wave data into three components: (1) a stable trait component, (2) a state component, and (3) an error component. Significant predictors of the trait component of self-esteem observed across five days were: (1) emotional stability, and (2) the congruence between implicit and explicit self-esteem. Significant predictors of the state components of self-esteem were daily positive and negative events. We discuss the implications of these results for future research concerning self-esteem stability.     

Grain Size and Parameter Recovery with TIMSS and the General Diagnostic Model

The purpose of this study was to explore the degree of grain size of the attributes and the sample sizes that can support accurate parameter recovery with the General Diagnostic Model (GDM) for a large-scale international assessment. In this resampling study, bootstrap samples were obtained from the 2003 Grade 8 TIMSS in Mathematics at varying sample sizes from 500 to 4000 and grain sizes of the attributes from a unidimensional model to one with ten attributes. The results showed that the eight-attribute model was the one most consistently identified as best fitting. Parameter estimation for more than ten attributes and samples less than 500 failed. Furthermore, the precision of item parameter recovery decreased as the number of attributes measured by an item increased and sample size decreased. On the other hand, the distributions of latent classes were relatively stable across all models and sample sizes.     

经济决策中人际信任博弈的理论模型与脑机制

信任是指个体在缺乏足够信息来判断他人动机、意图和行为的情况下,将社会资源交给对方处置并承担相应风险的意愿。作为一种基本的社会信号机制,信任对于发展和维持良好社会关系具有重要作用。借助信任博弈范式,研究者揭示了人际信任的认知神经机制并建构了多种理论,包括背叛厌恶理论、社会规范理论、道德规范理论和默认行为模型。脑成像研究发现信任行为主要涉及内侧前额叶、尾状核、杏仁核和脑岛等脑区,其中内侧前额叶主要参与心理推理、情绪认知与调控等过程,尾状核参与同伴值得信赖性的习得与编码,杏仁核和脑岛则主要参与风险、不确定性和背叛恐惧加工。今后研究应侧重不同理论之间的补充与整合,强化不同脑区之间的功能连接与整体性,并注重信任行为中的个体差异。     

Family incivility and counterproductive work behavior: A moderated mediation model of self-esteem and emotional regulation

Drawing from the work–home resources model, we examined the relations of family incivility, counterproductive work behaviors (CWB), state self-esteem, and emotional regulation. Results from three-wave lagged data (N = 284) indicated that family incivility was positively correlated with counterproductive work behaviors, and this relationship was mediated by state self-esteem. In addition, emotional regulation mitigated the relationship between family incivility and state self-esteem. The findings suggested that family incivility, as an emotional contextual demand in the home domain, is related to negative outcome (deviant behavior) in the work context (i.e., CWB) through the depletion of the personal resource—state self-esteem, while emotional regulation is a key resource that mitigates this relationship. This paper discusses the implications of these findings with respect to applications and developments of the work–home resources model.     

Personality change via work: A job demand–control model of Big-five personality changes

Based on the job demand–control model and Gray's biopsychological theory of personality, the author proposed a model to suggest that time demand and job control can drive changes in Big-five personality traits, especially neuroticism and extroversion, by shaping an individual's stress experiences at work. Five waves of data from 1814 employees over a five-year period from the Household, Income and Labor Dynamics in Australia Survey were analyzed. Time demand, job control and job stress were measured in all five waves, and Big-five personality was assessed in the first and last waves. The results showed that time demand and job control shaped job stress positively and negatively at a given time; and over time, an increase in time demand predicted an increase in job stress, which subsequently predicted an increase in neuroticism and a decrease in extroversion and conscientiousness. Results also showed that an increase in job control predicted an increase in agreeableness, conscientiousness, and openness directly, but did not predict change in neuroticism and extroversion. Finally, the buffering effect of job control on the association between time demand and job stress was only observed in two of five waves and such buffering effect was not observed in a change process. The implications on personality development and work design research are discussed.     

Impact of School Psychological Environment Variables on Happiness of Korean Youths

Abstract: This study analyzed the structural relationships between school‐related psychological variables (teacher support, learning flow, friendship) and the happiness of Korean youths, and compared structural equation models for middle and high schools. Questionnaire data were collected from students in middle and high schools in 10 cities and provinces of Korea. The final data set from 870 students was analyzed with Amos 20.0. Goodness of fit indices for the hypothetical model were good, and all paths were significant. That is, a model incorporating indirect and direct impact of school‐related psychological environment variables, such as teacher support, learning flow, and friendship, on the happiness of Korean youths is valid. Second, structural equation models for middle and high schools demonstrated significant differences. Therefore, different types of assistance are needed to increase the happiness of students in middle schools and high schools.     

A home-based approach to understanding the effect of spatial autocorrelation on seat belt non-use

Roadside observations indicate that seat belt use rates are often spatially correlated with nearby areas. However, very few studies have examined the effects of spatial autocorrelation on seat belt use. This study used exploratory spatial data analysis (ESDA) to explore spatial autocorrelation in Tennessee, which has a lower seat belt use than the United States national average. We geocoded home-addresses of vehicle occupants involved in traffic crashes between 2014 and 16 (n = 1,251,901) and projected them to the census tract corresponding to their home address. This projection reveals information about the spatial distribution of seat belt non-use and socioeconomics of the areas surrounding the crash victim's home. The presence of highly spatially correlated observations (i.e., a significant positive Moran’s I) suggests that seat belt non-use is not produced solely by the internal structural factors represented in the non-spatial models. ESDA reveals a distinctive regional imprint for spatial autocorrelation, in which Southern-metropolitan areas’ (Southern-MPOs) in Tennessee census tracts have higher than average seat belt non-use compared to Non-Southern-MPOs (16% vs. 9%). The spatial error model was suitable for Non-Southern-MPOs, whereas the spatial lag model was more suitable for Southern MPOs. Comparison of the estimated models indicates that in the Non-Southern MPOs, percentage of the White population, percentage of the population with Bachelor's degree, median household income, vehicle ownership, and population density are significant predictors of seat belt non-use. On the other hand, median household income, vehicle ownership, and percentage of population aged between 16 and 42 years old predict seat belt non-use in Southern MPOs. The study results could be used to identify seat belt non-use clusters at the state level and identify seat belt non-use hot zones. Furthermore, this analysis indicates that the relationship between demographic variables and seat belt non-use varies across regimes. Failing to consider the spatial regimes in the analysis would lead to falsely prioritizing groups prone to seat belt non-use.