Has 60 Years of Research in Psychology Really Gone Astray?

The author presents several arguments against Toomela’s (Culture of science: Strange history of the methodological thinking in psychology. Integrative Psychological and Behavioral Science, 2007a, doi:, History of methodology in psychology: Starting point, not the goal. Integrative Psychological and Behavioral Science, 2007b, doi:) pessimistic thesis: “The last 60 years of research in psychology seems to have gone astray.” Nevertheless he admits that Toomela’s article despite the excessively categorical assessments contained in it and the undue pessimism crowing its conclusion, represents a substantial contribution to the highlighting of socio-cultural impact on various models of psychological cognition, which lurks behind the international unification of globalizing science.

瑞文测验项目认知难度因素分析及LLTM拟合验证

该文在以认知和测量相结合为特征的新一代测验理论的指导下,针对项目刺激特征,对影响瑞文测验项目认知难度的因素进行了分析,提取出图块繁简度、整体布局、变化维度和题序等4个因素,然后应用线性逻辑潜在特质模型（LLTM）对这四个因素进行了拟合检验,结果证明提取出的四个因素是有效的。文章还进一步探讨了研究结果在智力测验中的应用。     

三校大学生竞争／合作策略取向的特点及影响因素

为研究大学生竞争／合作策略取向的特点及影响因素,采用”合作与竞争策略标度”量表对144名大学生进行测查,并从能力变量、期望变量及背景变量进一步研究其影响因素。结果表明大学生竞争策略均分值普遍显著高于合作策略均分值,提示学生更崇尚竞争策略;女生的竞争策略均分值明显高于男生分值,表现出策略取向的性别差异。通过相关分析和多元逐步回归分析,表明学习能力、总体能力与父母期望对学生的竞争策略取向有一定的预测性,而性别和母亲受教育程度可部分预测学生合作策略取向。     

个人目标取向、课堂目标结构及文化因素与学业求助策略的关系研究

本研究以982名初中学生为被试,采用验证性因素分析和多元回归方法对个人目标取向、课堂目标结构及文化因素与学业求助策略的关系进行研究。结果表明:(1)个人目标取向可以区分出任务取向、趋向型自我取向和逃避型自我取向,它们对学业求助的影响是不同的,只有逃避型自我取向的学生才倾向于作不利于学习的执行性求助。(2)课堂目标结构对学业求助有影响 ,在任务取向的课堂里 ,学生倾向于作工具性求助。(3)文化因素对学业求助有影响。认同中国求助格言的学生愿意作工具性求助,在意他人评价的学生倾向于回避求助或作执行性求助。(4)个人目标取向、课堂目标结构和文化因素对不同年级学生学业求助的影响模式不同。     

对中学教学中教师运用情感因素的现状调查

针对中学教师在教学中运用情感因素现状的大规模问卷调查,结果表明,重知轻情现象在当前的中学教学中十分普遍,并主要表现在虽有一定认识却鲜于教学实践的状况上,其原因主要是缺乏情感教学方面的理论和方法上的指导,也为一些误解所致,而市区和郊区中学、重点和非重点中学在这方面存在的问题基本一致,不存在明显差异。     

Life Cycle Welfare: Trends and Differences

A cohort analysis of United States General Social Science Survey data since 1972 reveals that the life cycle trend in average happiness is remarkably flat. Throughout the life course, however, whites are typically happier than blacks, and more educated persons are happier than their less educated counterparts. In recent years the black-white differential has narrowed moderately, and – although there is no consistent difference by gender – the happiness of females has declined relative to males. Some psychologists assert that happiness is largely determined by genetic or personality traits, but the persistence of life cycle differences by race and education suggests that external socio-economic circumstances are important influences on happiness.     

An aggression machine v. determinants in reactive aggression revisited

The relations between reactive aggression, situational cues, and emotion regulation were examined by means of the Pulkkinen Aggression Machine (PAM) task. In the PAM, provocation and response were systematically varied under two conditions: the impulsive aggression condition and the controlled aggression condition. In the impulsive condition, no information about the attacker was provided, while in the controlled condition the attackers were specified in terms of sex, age, and physical strength. The task was administered to 109 children aged 8 to 13 years. Boys (n = 61) and girls (n = 48), as well as subgroups of Adjusted (n = 67) and Maladjusted (n = 26) children were compared. The results confirmed earlier findings showing that there is a strong relationship between attack and response intensity. However, this relationship was consistently modified by the effects of situation and personality‐related variables. This meant that, while for the impulsive condition response intensity was closely tied to stimulus intensity, in the controlled condition this effect was modulated by the characteristics of the opponent: the more equal the opponent the stronger the retaliations displayed. The Maladjusted children reacted more intensively in the impulsive condition and to minor provocation in the controlled condition than the Adjusted children. This suggests that the intensity of the elicited aggression in the Maladjusted group was particularly dependent on contextual rather than internal control. Aggr. Behav. 27:430–445, 2001. © 2001 Wiley‐Liss, Inc.     

Thin-Ideal Internalization: Mounting Evidence for a New Risk Factor for Body-Image Disturbance and Eating Pathology

Body-image disturbance and eating disorders are a significant physical and mental health problem in Western countries. We describe emerging work on one newly identified variable that appears to be a potent risk factor for the development of these problems internalization of societal standards of attractiveness. Work conducted independently in our labs over the past decade has included scale development, correlational studies, prospective risk-factor studies, randomized experiments, and randomized prevention trials. Findings collectively suggest that internalization is a causal risk factor for body-image and eating disturbances, and that it appears to operate in conjunction with other established risk factors for these outcomes, including dieting and negative affect. Future research is needed to examine the specific familial, peer, and media influences that promote internalization and to replicate and extend our prospective and experimental studies.     

云南省大学生自杀行为及相关因素分析

采用SCL-90、青少年生活事件量表、应对方式量表、社会支持评定量表和自编的外显行为量表对云南省3313名大学生进行了测查,并探讨了包括自杀意念及自杀企图在内的自杀行为状况及其影响因素。结果表明:(1)427(13.2%)名大学生有自杀意念,卡方检验显示女生人数显著多于男生;154(4.7%)名大学生有过自杀企图,男女生人数没有显著差异;(2)自杀意念和自杀企图在人口统计学变量上有显著差异:在自杀意念上,女生、独生子女、文科生、来自城市的学生和不完整家庭的学生、月支出少于100元的学生得分显著高于与之对应的大学生;而在自杀企图上,只有来自城市的学生和不完整家庭的学生、月支出少于100元的学生得分显著高于与之对应的大学生;(3)大学生自杀意念和自杀企图与心理症状、生活事件、情感中心应对呈显著的正相关,与问题中心应对、社会支持呈显著的负相关;(4)在结构模型中,社会支持在心理症状和自杀行为中起到显著的调节作用,情感中心应对在生活事件、社会支持、社会支持对心理症状的调节作用中起显著的中介作用,而问题中心应对在生活事件、社会支持、社会支持对事件的调节作用中起显著的中介作用。     

心理因素与学业表现：机器学习分类预测模型

随着高等教育规模的扩大,学业表现不良逐渐成为一个不容忽视的现象,对学业表现不良的学生进行预测并提早给予干预可降低退学率并减少教育资源的损失。由于导致学业表现不良的因素众多且关系复杂,传统的基于相关分析的研究方法很难建立早期预测模型并进行应用。本研究旨在利用机器学习算法,对数据进行挖掘,并建立学业表现预测模型。研究对653名大一新生的心理健康状况、应对方式、人格、内外控倾向和相关人口统计学信息进行了收集,并在一年后采集了其学业成绩,利用随机森林(RF)、K邻近（KNN）、支持向量机（SVM）、决策树（DT）、朴素贝叶斯（NB）等机器学习算法建立了分类模型。结果显示,随机森林算法在识别学业表现不良学生时有最好的表现,其中准确率95.86%, 召回率91.83%,f1分数为93.80%。特征重要性分析显示,前10个对模型有最高贡献度的特征包括：年龄、性别、是否为独生子、内外控倾向、神经质倾向、积极应对倾向、宜人性倾向、一般症状指数、开放性倾向和焦虑水平。为避免过度拟合问题,本研究在一年后收集的166名新生样本中进行了模型验证,结果显示模型在新数据集上有较好的泛化表现,其中f1分数90.90％,准确率92.60％,召回率89.26％。研究提示基于人口统计学和心理测评信息,机器学习算法有助于及早识别学业表现不良学生并为开展早期干预提供启示。