中学教师教学风格和工作满意度的研究

本研究以上海市四所中学的153名教师为研究对象,进行了教师教学风格量表和工作满意度量表的施测。研究结果表明：（1）从总体上看,教师的教学风格以激进型、立法型、评判型和整体型四种教学风格为主,这四种教学风格是相对复杂、有创造性、效率较高的教学风格;（2）中学教师对同事关系的满意度最高,对自我实现和学校领导的满意度也较高,而对学生素质的满意度最低,其次为工资福利;（3）随着教龄的增长,教师对工作压力和工资福利的满意度逐渐下降;（4）对工作的满意度越高,教师越可能具有立法型、评判型、激进型和整体型四种教学风格,而教师对工作压力不满则倾向于采取消极、保守的教学风格。     

Role of resilient personality on lower achieving first grade students' current and future achievement

This study investigated a measurement model of personality resilience and the contribution of personality resilience to lower achieving first grade students' academic achievement. Participants were 445 ethnically diverse children who at entrance to first grade scored below their school district median on a test of literacy. Participants were administered an individual achievement test in first grade and 1 year later. Confirmatory factor analysis confirmed a second-order latent construct of resilient personality defined by teacher-rated conscientiousness, agreeableness, and ego-resiliency that was distinct from measures of externalizing behaviors and IQ. Using latent structural equation modeling and controlling for baseline economic adversity, IQ, and externalizing symptoms, resilient personality predicted children's concurrent and future achievement (controlling also for baseline achievement in the prospective analyses). Model fit was invariant across gender.     

An exploratory analysis of the latent structure of process data via action sequence autoencoders

Computer simulations have become a popular tool for assessing complex skills such as problem-solving. Log files of computer-based items record the human–computer interactive processes for each respondent in full. The response processes are very diverse, noisy, and of non-standard formats. Few generic methods have been developed to exploit the information contained in process data. In this paper we propose a method to extract latent variables from process data. The method utilizes a sequence-to-sequence autoencoder to compress response processes into standard numerical vectors. It does not require prior knowledge of the specific items and human–computer interaction patterns. The proposed method is applied to both simulated and real process data to demonstrate that the resulting latent variables extract useful information from the response processes.     

Exploring the Moderating Roles of Perceived Person–Job Fit and Person–Organisation Fit on the Relationship between Training Investment and Knowledge Workers' Turnover Intentions

Previous studies have documented inconsistent results in terms of the relationship between knowledge workers' perceived training investment and their turnover intentions. In order to clarify the inconsistencies, the present study extends previous research by exploring the moderating roles of perceived demand–ability (D–A) job fit and person–organisation (P–O) fit. Data were collected from 303 research and development (R&D) engineers from 30 high‐technology firms in Taiwan. Hierarchical regression analyses were conducted to test the hypotheses. The results show that perceived D–A fit, P–O fit, and perceived training investment interact jointly to predict knowledge workers' turnover intentions. Specifically, while the main effect of perceived training investment on turnover intentions was negative, under situations of extremely high perceived D–A fit and extremely low P–O fit, the relationship between knowledge workers' perceived training investment and their turnover intentions became positive, and under situations of low perceived D–A fit and high P–O fit, the relationship between knowledge workers' perceived training investment and their turnover intentions remained negative. Theoretical and practical implications are also discussed. Les études antérieures ont donné des résultats contradictoires quant aux relations entre la connaissance que les salariés perçoivent de l’investissement dans la formation et leurs intentions de changer. Dans le but de clarifier ces incohérences, la présente étude prend la suite de recherches antérieures en explorant les rôles modérateurs de la compatibilité perçue entre la compétence et les nécessités au travail (DA) et de la compatibilité entre la personne prise dans sa globalité et les caractéristiques de l’organisation qui l’emploie (PO). Les données ont été collectées auprès de 303 ingénieurs en recherche et développement (R&D) de 30 entreprises de haute technologie à Taiwan. Des analyses de régression hiérarchique ont conduit à tester les hypothèses. Les résultats montrent que la compatibilité D‐A, la compatibilité P‐O et l’investissement perçu dans la formation interagissent conjointement pour prédire les intentions de changement des employés. Plus spécifiquement, alors que le principal effet de l’investissement perçu dans la formation sur les intentions de changement est négatif, dans des conditions de compatibilité D‐A perçue comme étant basse et de compatibilité P‐O haute, la relation entre la connaissance que les salariés perçoivent de l’investissement dans la formation et leurs intentions de changement reste négative. Les implications théoriques et pratiques sont aussi discutées.     

The Sequential Model of Future-Oriented Coping and Adjustment to University Life: The Role of Attitudes as Further Evidence

The Psychological Record - The objectives of the present study were to develop the University Life Implicit Association Test (IAT) and to explore the role of implicit and explicit attitudes in the...     

两种估计多维测验合成信度置信区间方法比较

有两种方法可以估计多维测验合成信度的置信区间：Bootstrap法和Delta法.本文用模拟研究比较这两种方法,结果发现,Delta法与Bootstrap法得到结果的差异很小.因为Bootstrap法得到的是实证结果,通常被认为是真值的反映,而Delta法比Bootstrap法简单得多,所以可以用Delta法估计合成信度的置信区间.举例演示如何计算多维测验的合成信度以及用Delta法计算其置信区间.     

听觉诱发表象的眼动机制

视觉心理表象是一种基于过去经验的自上而下的加工过程,它是信息表征的一种形式.以往的研究主要采用视觉来诱发表象,但是这很难排除视觉后像的干扰,而且与表象“自上而下”的加工过程不一致.听觉诱发表象很好地解决了视觉后像的干扰问题,也更吻合表象“自上而下”的加工过程,因为被试产生的表象是基于自己过去的经验,从自身出发,主动加工的结果.采用实验法,考察通过听觉通道诱发表象眼动的情况,使用眼动仪记录被试的眼动轨迹.结果发现：（1）不管是运动还是静止的物体,都能诱发表象,在表象时存在眼动行为.（2）运动的物体诱发眼动的程度更大.（3）眼动影响表象的建构,在表象建构中起机能性作用.     

The Flexible Correction Model: Bias Correction Guided by Naïve Theories of Bias

Psychological researchers have examined a broad array of biases and shortcomings of social perceivers. Less attention has been paid to how people react when they become concerned about the possibility of bias and attempt to correct or overcome the potential for bias. An early approach was to think of bias correction as “subtracting” information or reactions that are identified as coming from the biasing factor instead of the target. An alternative approach is to conceptualize bias correction as guided by social perceivers' naïve theories or perceptions of the bias at work. The subtraction theories were designed to deal with the assimilative biases typical of early priming experiments, but theory‐based corrections can readily deal with either assimilative or contrastive biases. We describe both types of correction theories, with a focus on the empirical support for theory‐based correction (and especially for the Flexible Correction Model). We also identify future directions for research on theory‐based correction.     

Real men are made,not born! Incidental exposure to energy drinks may promote men's tolerance of physical pain

The energy drink market has grown exponentially since the debut of Red Bull. Advertising of energy drinks tends to reinforce an emphasis on masculine identification. However, no previous study has addressed the symbolic effect of energy drinks on pain tolerance, that is, a particular masculine characteristic. We conducted a priming‐based experiment to show that energy drink primes elevated men's pain tolerance. Induced conformity to masculinity norms mediated the priming effect of energy drinks on pain tolerance. These findings suggest that mere reminders of masculinity‐related products can lead men to behave accordingly in seemingly irrelevant domains (i.e., pain tolerance). Besides distraction and placebo treatment, the connection between a symbolic masculinity prime and greater tolerance of pain may shed lights on an alternative route for pain control.     

Prevalence of depressive symptoms and its correlates among medical students in China: a national survey in 33 universities

We conducted a national survey among medical students in China to estimate the prevalence of depressive symptoms and explore associated risk factors based on an established questionnaire composed of demographic information, life events in the past four weeks before survey, and the validated Chinese version of the 21-item Beck’s Depression Inventory (BDI). The mean age of enrolled 9010 students was 20.7 (standard deviation: 1.6) years. BDI scores indicated that 19.9% had depressive symptoms based on the cut-off score of 14. Socioeconomic factors and student characteristics such as male sex, low monthly income per capita, father’s poor education background, and higher year of study were associated with higher prevalence of depressive symptoms among medical students. Students who studied in comprehensive universities were more likely to have depressive symptoms compared with those from medical universities. Habitual smoking and alcohol drinking, sleep deprivation, and hospitalization or medication for one week or more in the last four weeks also predisposed students to higher risk of depressive symptoms. Our results indicate that depressive symptoms are becoming a highly prevalent health problem among Chinese medical students. Primary and secondary prevention should be prioritized to tackle this issue based on potential risk factors.