Identifying a Reordering of Rows and Columns for Multiple Proximity Matrices Using Multiobjective Programming

This paper is concerned with a problem where K (n×n) proximity matrices are available for a set of n objects. The goal is to identify a single permutation of the n objects that provides an adequate structural fit, as measured by an appropriate index, for each of the K matrices. A multiobjective programming approach for this problem, which seeks to optimize a weighted function of the K indices, is proposed, and illustrative examples are provided using a set of proximity matrices from the psychological literature. These examples show that, by solving the multiobjective programming model under different weighting schemes, the quantitative analyst can uncover information about the relationships among the matrices and often identify one or more permutations that provide good to excellent index values for all matrices.     

Statistical inference of minimum rank factor analysis

For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the observed covariance matrix minus that diagonal matrix are positive semidefinite. As a result, it becomes possible to distinguish the explained common variance from the total common variance. The percentage of explained common variance is similar in meaning to the percentage of explained observed variance in Principal Component Analysis, but typically the former is much closer to 100 than the latter. So far, no statistical theory of MRFA has been developed. The present paper is a first start. It yields closed-form expressions for the asymptotic bias of the explained common variance, or, more precisely, of the unexplained common variance, under the assumption of multivariate normality. Also, the asymptotic variance of this bias is derived, and also the asymptotic covariance matrix of the unique variances that define a MRFA solution. The presented asymptotic statistical inference is based on a recently developed perturbation theory of semidefinite programming. A numerical example is also offered to demonstrate the accuracy of the expressions.This work was supported, in part, by grant DMS-0073770 from the National Science Foundation.     

课堂环境目标影响学生成就目标的实验研究

采用现场教学实验的方法,探讨了在我国中学课堂教学中,运用TARGET教学模式引导学生的掌握目标定向,激发学习动机的有效性和可行性。被试是来自同一所中学的初中二年级两个班的学生(实验班36人,控制班34人)。研究结果表明,通过教师在课堂上实施强调掌握目标的教学干预策略,可以有效地改善学生的学习动机模式,促使学生更多地采取掌握目标,提高学生的学习兴趣和学习成绩。     

目标感染研究述评

目标感染是动机领域新近出现的一个概念（Aarts等,2004）,所谓目标感染指的是个体可以自动的从他人行为信息中推测其目标并无意识的追求这一目标。目标感染在激活对象、复杂程度等方面不同于单纯的行为模仿,在行为性质、意识水平等方面又区别于观察学习。目标状态可及性、目标情感效价等因素会影响目标感染现象的发生。已有研究中通常采用目标相关词汇、社会信息两种方式进行目标的激活。作为对有意识目标追求的补充,目标感染的研究促进了我们对个体行为的理解。未来研究尚可就观察者特征、目标熟悉程度、被观察者数量等因素对目标感染的影响开展进一步的探讨。     

Motivational climate and changes in young athletes’ achievement goal orientations

Development of achievement-related motives in young athletes is believed to be influenced by the motivational climate created by coaches. In a longitudinal multilevel design utilizing 47 youth basketball teams, coach-initiated motivational climate was used to predict changes in 9–13 year old athletes’ achievement goal orientations over the course of a season. Mastery climate scores on the Motivational Climate Scale for Youth Sports were associated with significant increases in mastery goal orientation and decreases in ego orientation scores on the Achievement Goal Scale for Youth Sports. Ego motivational climate scores were significantly related to increases in ego goal orientation scores. These relations were not influenced by athletes’ age or gender. Intraclass correlations indicated low within-team consensus in athletes’ motivational climate scores, suggesting an individual- rather than team-level perceptual construct. These and other findings indicate that achievement goal orientation research can be extended downward to children below the age of 11.

目标包含结构的文本阅读中目标信息的激活

探讨读者在阅读目标包含结构的文本时,目标信息的恢复激活的条件。运用移动窗口技术,采用3（已经实现、尚未实现与控制条件）×3（强目标愈合信号、弱目标愈合信号与无目标愈合信号）的实验设计。结果是子目标实现与否有主效应,目标愈合信号有主效应,目标实现条件和目标愈合信号有交互作用。结论是在目标包含结构的文本阅读中,目标信息表现出恢复激活的方式,目标愈合信号是目标信息恢复的必要条件,弱的目标愈合信号就可以激活长时记忆中已实现的目标信息,而较强的目标愈合信号才能激活长时记忆中尚未实现的目标信息     

课堂成就目标定向、任务难度、学业水平与元认知监控策略运用

以217名高中生为被试,采用计算机监控的活动操作法,探讨课堂成就目标定向、任务难度对不同学业水平学生元认知监控策略运用的影响。结果表明：（1）课堂掌握目标定向下均比在课堂成绩目标定向下更多地运用元认知监控策略;（2）高学业学生在较难任务上比较易任务上更多地运用元认知监控策略;低学业学生,在课堂掌握目标定向下．在较难任务上比较易任务上更多地使用元认知监控策略;在课堂成绩目标定向下,与课堂掌握目标定向情形相反;（3）临场动机中的自我效能感、目标方向、努力程度在课堂成就目标定向、任务难度对元认知监控策略的影响中具有中介作用。     

新手-熟手-专家型教师成就目标定向与人格特征的研究

本研究采用量表法考察三种类型教师成就目标定向与人格特征的特点。结果表明 ,与普通成人相比 ,我国中学教师比较外倾 ,精神质水平更高。三种类型教师在任务目标上存在显著性差异 ,新手型教师的任务目标水平显著低于熟手型教师 ;而在成绩目标上 ,不存在显著性差异。新手型教师在精神质维度上与熟手型教师存在显著性差异 ,其精神质水平显著低于熟手型教师 ,熟手型教师在神经质维度上与专家型教师存在显著性差异 ,其神经质水平显著低于专家型教师 ,神经质水平高是专家型教师典型的人格特征。     

无意识目标：激活与追求

目标自动激活模型认为,目标是行为满意状态或结果在个体头脑中的表征,它能够通过相关情境自动激活。无意识目标的激活方式有语义激活、工具激活和人际激活。无意识目标追求与有意识目标追求在目标实现、目标投射和动机特征方面相似,但其行为产生机制有所不同。未来研究应该对无意识目标的机制及其具体应用进行深入的探讨     

内在动机及其前因变量

该文比较系统地介绍了目前国内外关于内在动机的概念和具体影响因素诸方面的研究进展,并对未来的研究发展方向进行了展望。内在动机主要是由于活动过程本身特性或个体内发性精神需要所引发的一种活动或工作动力。相关影响因素主要涉及个体需要兴趣情感因素、工作任务本身特性、个体成就目标设置、自我效能感、组织授权与交换以及外在激励方式等方面。未来研究的方向主要在于内在动机具体结构的深入探讨以及不同影响因素的中介变量、调节变量以及诸因素交互作用综合模型的建立等方面