学科领域知识丰富性对中学代数问题表征层次的影响

研究学科领域知识丰富性不同的学生在问题表征过程中信息表征层次的特点。采用“学习-再认”范式,以5类等式为材料,62名初二学生参与实验。结果：两组被试对表面和原理特征一致的等式产生明显的错误再认;对表面特征不一致等式的错误率明显减少。无论原理特征是否一致,两组对表面特征一致等式的反应时无显著差别,但在正确率上丰富组的更高。说明,两组均以有序的系列加工方式编码信息,优先编码表面特征。贫乏组对原理特征的编码干扰表面特征的加工,因而原理特征被丢弃。丰富组加工表面特征则无干扰现象出现,两种特征均能作为再认线索。     

变革型领导如何影响员工的工作结果：一个有中介的调节作用分析

本文通过对426名在职人员的调查,探讨了变革型领导对工作绩效与满意度的影响机制。最后采用SPSS 13.0和Lisrel 8.7 对数据进行多层级线性回归分析,并依据温忠麟等（2006）的统计步骤分析了有中介的调节作用,得到如下结果：（1）在控制了年龄、性别与任职年限之后,自我效能在变革型领导与工作绩效、工作满意度之间都起部分中介作用;（2）核心工作特征在变革型领导与工作绩效之间起调节作用,调节作用需要通过自我效能作为中介变量。文章最后讨论了本研究的理论和实践意义。     

关系研究的新取向：社会网络分析

社会网络分析（Social Network Analysis, SNA）是用社会实体之间的关系来描述、解释和预测社会现象的一种研究取向。SNA提供了深入探究社会环境特征及其对个体心理发展影响的一种方法。本文基于SNA的发展历程,依次介绍了中心性分析、小团体分析、位置分析、QAP以及统计模型法。SNA在社会学研究中得到了较多应用,近年来在心理学研究中开始受到重视。     

Orthographic neighborhood size effect in Chinese character naming: orthographic and phonological activations

The present study examined the effects of orthographic neighborhood (N) size on the cognitive processes underlying Chinese character reading. Previous research has shown increasing N size facilitates word naming and recognition performance in alphabetic languages. Experiment 1 revealed that a large N size was associated with a general inhibition of processes underlying character reading, in contrast to previous findings with alphabetic languages. This inhibitory effect was influenced by regularity and consistency. Experiment 2 sought to assess the effects of higher-frequency neighbors on character naming performance. The results revealed that higher-frequency neighbors with different pronunciation to the target interfered with the phonological retrieval of targets. We propose that this type of interference may have caused the N size effect observed in Experiment 1. The results of Experiment 3 revealed that a large N size facilitated target naming in the absence of higher-frequency neighbors. The current results shed light on the processes underlying character naming, and we propose possible cognitive mechanisms of the N size effect on Chinese character naming.     

儿童孤独症的类型以及家庭干预

儿童孤独症也称自闭症(autism)是一种广泛性发育障碍,其临床表现为社交功能损伤、沟通能力损伤以及存在刻板的行为、兴趣和动作。根据相关文献就孤独症分类作一综述,并提出了早期家庭干预的具体措施。     

大学生心理健康影响因素及其应对策略

大学生心理健康教育已经成为高校学生教育和管理工作的一个重要方面。本文主要从个人、家庭、学校和社会四方面探讨了影响大学生心理健康的因素、指出开展心理健康教育的压力调节模式和三级预防模式,最后从个体和学校两个层面提出大学生心理健康的具体应对策略。     

Sample size planning with the cost constraint for testing superiority and equivalence of two independent groups

The allocation of sufficient participants into different experimental groups for various research purposes under given constraints is an important practical problem faced by researchers. We address the problem of sample size determination between two independent groups for unequal and/or unknown variances when both the power and the differential cost are taken into consideration. We apply the well‐known Welch approximate test to derive various sample size allocation ratios by minimizing the total cost or, equivalently, maximizing the statistical power. Two types of hypotheses including superiority/non‐inferiority and equivalence of two means are each considered in the process of sample size planning. A simulation study is carried out and the proposed method is validated in terms of Type I error rate and statistical power. As a result, the simulation study reveals that the proposed sample size formulas are very satisfactory under various variances and sample size allocation ratios. Finally, a flowchart, tables, and figures of several sample size allocations are presented for practical reference.     

New heterogeneous test statistics for the unbalanced fixed‐effect nested design

When the underlying variances are unknown or/and unequal, using the conventional F test is problematic in the two‐factor hierarchical data structure. Prompted by the approximate test statistics (Welch and Alexander–Govern methods), the authors develop four new heterogeneous test statistics to test factor A and factor B nested within A for the unbalanced fixed‐effect two‐stage nested design under variance heterogeneity. The actual significance levels and statistical power of the test statistics were compared in a simulation study. The results show that the proposed procedures maintain better Type I error rate control and have greater statistical power than those obtained by the conventional F test in various conditions. Therefore, the proposed test statistics are recommended in terms of robustness and easy implementation.     

Using SAS PROC TCALIS for multigroup structural equation modelling with mean structures

Multigroup structural equation modelling (SEM) is a technique frequently used to evaluate measurement invariance in social and behavioural science research. Before version 9.2, SAS was incapable of handling multigroup SEM. However, this limitation is resolved in PROC TCALIS in SAS 9.2. For the purpose of illustration, this paper provides a step-by-step guide to programming the tests of measurement invariance and partial invariance using PROC TCALIS for multigroup SEM with mean structures. Fit indices and parameter estimates are validated, thus providing an alternative tool for researchers conducting both applied and simulated studies. Other new features (e.g., different types of modelling languages and estimation methods) and limitations (e.g., ordered-categorical SEM and multilevel SEM) of the TCALIS procedure are also briefly discussed.