教师职业倦怠与归因的关系探讨

教师职业倦怠问题越来越受到国内外教育研究者的关注。本研究检验归因对教师倦怠的影响。采用教师职业倦怠量表与归因问卷调查170名中学教师。结果表明,中学教师的情绪倦怠程度并不高,但仍有一定比例的教师体验较严重的倦怠状态;内控性与机遇两个控制源与倦怠3个维度之间的相关达到显著水平,权势只与去个性化维度之间的相关达到显著水平;并且,只有内控性与机遇显著地预测了职业倦怠的三个维度。     

进食障碍影响因素的探讨

神经性厌食症和神经性贪食症是主要的进食障碍症状。进食障碍的影响因素有社会文化因素（例如媒体和同伴的影响）、家庭因素（如困惑和冲突）、消极情绪、低自尊水平和对自身的不满及认知和生物方面的因素等。     

辩证情绪:研究方法及展望

有关辩证情绪的实证研究已经成为情绪研究中的一个新的热点问题,并从一个本土心理学的研究领域演变为主流心理学的研究课题。辩证情绪是指积极和消极情绪的共存。文章对辩证情绪的研究方法进行了回顾,主要包括辩证情绪研究范式的演变、辩证情绪的诱发方法、辩证情绪的测量方法以及辩证情绪的计算方法,并对不同的研究方法的优缺点及其贡献进行了比较和分析。最后,文章对辩证情绪研究方法的未来发展提出了展望。     

最大信息量法在CCSPC评分中应用的效度证据

采用基于最大信息量法的多维项目反应理论模型估计计算机模拟心理咨询病例系统（CCSPC）的合成分数及四个模块分数,并收集效标效度证据、成长变化效度证据和内容效度证据,结果表明：五个指标与心理咨询师考试三级技能成绩的相关均达到显著,且高于其与三级理论成绩的相关;所有指标得分均随着心理学学历升高而升高;多数指标分数随心理学本科年级提高而提高;获得心理咨询师资格认证的被试在CCSPC上有更高的得分.     

Problem Finding and Contradiction: Examining the Relationship Between Naive Dialectical Thinking,Ethnicity, and Creativity

This research examined the association between naive dialectical thinking and creativity, measured as originality in problem construction and reframing (types of problem finding). Ethnic identity (Caucasian vs. Asian/Asian American) was examined as a moderator. Two correlational studies and one experimental study revealed a complex pattern of results: For problems with low inherent contradiction, naive dialectical thinking decreased originality on problem finding tasks, whereas for tasks with higher contradiction, there was no or even a slight positive effect. Furthermore, these relationships were found for Caucasian participants but not for Asian or Asian American participants. This research built upon the long-standing notion that dialectical thinking is positively associated with creativity, but suggests the relationship might be culture-, task-, and process-specific. The nature of dialectical thinking as involving the acceptance of contradiction or necessitating the resolution of tension should be explored.     

Gratitude Enhances Change in Athletes’ Self-Esteem: The Moderating Role of Trust in Coach

Self-esteem is a positive evaluation of oneself that can facilitate optimal functioning. However, little research has focused on its antecedents in sport. Accordingly, we adopted an interactionism perspective and proposed that gratitude, a dispositional factor, will enhance an athlete's self-esteem and affective trust in coach, a situational factor, will strengthen such a positive effect. Athletes completed measures of gratitude, affective trust in coach, and self-esteem at Time 1 and self-esteem at Time 2 after 6 months. Results showed that athletes with higher levels of gratitude increased their self-esteem over time when they had higher affective trust in their coaches.     

Increasing Students' Scientific Creativity: The “Learn to Think” Intervention Program

The “Learn to Think” (LTT) Intervention Program was developed for raising thinking abilities of primary and secondary school students. It has been implemented in more than 300 schools, and more than 200,000 students took part in the experiment over a 10‐year span. Several longitudinal intervention studies showed that LTT could promote the development of students' thinking ability, learning motivation, and learning strategy as well as raise academic performance in primary schools. This article describes a study of the influence and the delayed effects of LTT on the scientific creativity of secondary school students. One hundred and seven students were selected from a secondary school, 54 of them participated in the LTT every 2 weeks and the rest had not. The intervention lasted 2 years, and the delayed effect was explored half a year after terminating the intervention. The Scientific Creativity Test for Secondary School Students was used four times from pre‐test to delayed post‐test. The results indicated that the LTT did promote the development of scientific creativity of secondary school students, and the effects on the scientific creativity were not necessarily immediate, but tended to be long‐lasting.     

Do knee concentric and eccentric strength and sagittal-plane knee joint biomechanics differ between jumpers and non-jumpers in landing?

The purpose of this study was to investigate the differences of knee concentric and eccentric strength and impact related knee biomechanics between jumpers and non-jumpers during step-off landing tasks. Ten male college swimming athletes (non-jumpers) and 10 track and volleyball athletes (jumpers) were recruited to participate in two test sessions: a muscle strength testing session of concentric and eccentric extension for dominant knee joint at 60 °/s and 180 °/s and a landing testing session. The participants performed five trials of step-off landing in each of four conditions: soft and stiff landing from 0.4 m and 0.6 m landing heights. The three-dimensional kinematics and ground reaction force were recorded simultaneously during step-off landing conditions. The results showed that the jumpers had significantly greater peak knee eccentric extension and concentric flexion torques compared to the non-jumpers. No significant group effects were found for peak vertical ground reaction force and knee range of motion during landing. The jumpers had significantly greater knee contact flexion angle, maximum knee flexion angle and initial knee extension moment compared to the non-jumpers. These results suggest that these athletes adopted a favorable impact attenuation strategy that is related to the greater knee eccentric muscle strength and training.     

Combining Instructional Activities for Sense-Making Processes and Perceptual-Induction Processes Involved in Connection-Making Among Multiple Visual Representations

Abstract

Connection-making among multiple representations is a crucial but difficult competence in STEM learning. Prior research has focused on one type of learning process involved in connection-making: sense-making processes leading to conceptual understanding of connections. Yet, other research suggests that a second type of learning process is important: inductive learning processes leading to perceptual intuitions about connections. We investigate whether combining instructional activities designed to support sense-making processes for understanding of connections (understanding activities) and instructional activities that support inductive processes for perceptual intuitions about connections (perception activities) enhances students’ learning of chemistry knowledge. A laboratory-based experiment with 117 undergraduate students compared students in (a) a control condition that received only conventional activities that did not require connection-making; (b) a condition that received conventional and understanding-activities; (c) a condition that received conventional and perception-activities; and (d) a combined condition that received conventional, understanding-activities, and perception-activities. Results show that only the combined condition outperformed the control condition on a test of chemistry knowledge. Eye-gaze data and verbal reports show that understanding-activities and perception-activities have complementary effects on how students integrate information from multiple representations during the learning phase. Finally, we found that students’ spatial skills moderate their benefit from understanding-activities and perception-activities.     

A Computationally Efficient State Space Approach to Estimating Multilevel Regression Models and Multilevel Confirmatory Factor Models

Although the state space approach for estimating multilevel regression models has been well established for decades in the time series literature, it does not receive much attention from educational and psychological researchers. In this article, we (a) introduce the state space approach for estimating multilevel regression models and (b) extend the state space approach for estimating multilevel factor models. A brief outline of the state space formulation is provided and then state space forms for univariate and multivariate multilevel regression models, and a multilevel confirmatory factor model, are illustrated. The utility of the state space approach is demonstrated with either a simulated or real example for each multilevel model. It is concluded that the results from the state space approach are essentially identical to those from specialized multilevel regression modeling and structural equation modeling software. More importantly, the state space approach offers researchers a computationally more efficient alternative to fit multilevel regression models with a large number of Level 1 units within each Level 2 unit or a large number of observations on each subject in a longitudinal study.