大学生学习适应量表的编制

对当代大学生学习适应问题进行了深入分析,在有关研究的基础上,探讨了当代大学生学习适应的主要因素,并编制一套适合当代大学生学习适应的测验。对四类院校918名大学生进行了施测,对调查数据进行了探索性因素分析和验证性因素分析。探索性因素分析结果表明,大学生学习适应的主要因素包括学习动机、教学模式、学习能力、学习态度、环境因素等5个方面;验证性因素分析结果表明,所提取的5个因素与构想模型拟合较好,测验具有较好的信、效度     

儿童学校适应的分类及判定

以6579名小学三、五年级学生为被试,采用聚类分析和判别分析方法,结果表明:(1)根据儿童学校适应的指标将儿童的学校适应状况分为良好型、闲适型、紧张型、高危型四种类型.(2)良好型的儿童,在学业自我评估、学业动机和心理健康水平三个水平上的得分为正向,在问题行为上的得分为负;高危型儿童的结果与适应良好型的儿童完全相反;而在闲适型的儿童中,学业动机为负、心理健康水平为正;在紧张型的儿童中,学业动机为正向、而心理健康水平是负向的.(3)建立儿童学校适应的判别函数,为儿童在教育和心理问题进行指导提供了初步诊断依据,同时也对有关学校适应的研究提供新的视角.     

条件反射性抗体反应增强的动态分析——以OVA为非条件刺激物

研究了条件反射性抗体反应增强模型的建立。被试为49只雄性成年Wistar大鼠,采用糖精水作为条件性刺激,一种蛋白抗原卵清蛋白作为非条件性刺激配对给予大鼠,两者结合后,在初次抗体应答下降阶段再次单独给予条件刺激,用酶联免疫吸附法分时段检测抗体水平的变化。发现条件组在条件刺激后15,20,25天左右抗体水平明显高于对照组。这一过程与初次抗体应答的规律类似。这些结果证实经一次条件训练,单独给予条件刺激能诱导出明显的条件反射性抗体反应增高。     

情绪智力的基础：情绪觉察的研究现状与展望

情绪觉察作为情绪智力的重要基础,指的是识别与描述自己和他人情绪的能力,对个体的心理健康,人际交往具有重要意义。为系统考察情绪觉察的研究现状,采用定性和定量相结合的方式回顾以往研究,即先采用文献计量学的方法定量分析该领域研究的概况,然后在此基础上,对研究的具体内容从概念界定、测量工具、神经基础、相关因素和干预研究五个方面作进一步系统梳理。最后,对以往研究进行了总结和展望,以期为今后研究提供借鉴。     

A cautionary note on using internal cross validation to select the number of clusters

A highly popular method for examining the stability of a data clustering is to split the data into two parts, cluster the observations in Part A, assign the objects in Part B to their nearest centroid in Part A, and then independently cluster the Part B objects. One then examines how close the two partitions are (say, by the Rand measure). Another proposal is to split the data into k parts, and see how their centroids cluster. By means of synthetic data analyses, we demonstrate that these approaches fail to identify the appropriate number of clusters, particularly as sample size becomes large and the variables exhibit higher correlations.The authors express their thanks to the Sol C. Snider Entrepreneurial Center, Wharton School, for support of this project.     

消费行为研究中的联合分析法

联合分析(Conjoint Analysis)是一种定量的研究消费者选择偏好的方法。虽然从它诞生到现在只有40年的历史,但它对消费者行为学的影响很大,它的发展更是日新月异。文章首先介绍了联合分析的基本概念,然后重点阐述了联合分析的原理、步骤和发展历程,最后对联合分析的发展方向作了一个简要概括。     

认知诊断缺失数据处理方法的比较：零替换、多重插补与极大似然估计法

数据缺失在测验中经常发生, 认知诊断评估也不例外, 数据缺失会导致诊断结果的偏差。首先, 通过模拟研究在多种实验条件下比较了常用的缺失数据处理方法。结果表明：(1)缺失数据导致估计精确性下降, 随着人数与题目数量减少、缺失率增大、题目质量降低, 所有方法的PCCR均下降, Bias绝对值和RMSE均上升。(2)估计题目参数时, EM法表现最好, 其次是MI, FIML和ZR法表现不稳定。(3)估计被试知识状态时, EM和FIML表现最好, MI和ZR表现不稳定。其次, 在PISA2015实证数据中进一步探索了不同方法的表现。综合模拟和实证研究结果, 推荐选用EM或FIML法进行缺失数据处理。     

Sensitive Topics,Missing Data,and Refusal in Social Network Studies: An Ethical Examination

We describe our ethics‐driven process of addressing missing data within a social network study about accountability for racism, classism, sexism, heterosexism, cis‐sexism, ableism, and other forms of oppression among social justice union organizers. During data collection, some would‐be participants did not return emails and others explicitly refused to engage in the research. All refusals came from women of color. We faced an ethical dilemma: Should we continue to seek participation from those who had not yet responded, with the hopes of recruiting more women of color from within the network so their perspectives would not be tokenized? Or, should we stop asking those who had been contacted multiple times, which would compromise the social network data and analysis? We delineate ways in which current discussions of the ethics of social network studies fell short, given our framework and our community psychology (CP ) values. We outline literature that was helpful in thinking through this challenge; we looked outside of CP to the decolonization literature on refusal. Lessons learned include listening for the possible meanings of refusals and considering the level of engagement and the labor required of participants when designing research studies.