中国背景下雇员主动离职模型的探索和验证研究

雇员主动离职研究持续多年,但是这些研究缺乏对过程变量的关注和整个离职模型的整合。本文在以往研究的基础上,针对以上不足,初步提出了中国背景下雇员主动离职模型,并通过实证研究对模型加以验证。模型为企业管理实践提供了一定的应用价值。     

On the existence and uniqueness of JML estimates for the partial credit model

A necessary and sufficient condition is given in this paper for the existence and uniqueness of the maximum likelihood (the so-called joint maximum likelihood) estimate of the parameters of the Partial Credit Model. This condition is stated in terms of a structural property of the pattern of the data matrix that can be easily verified on the basis of a simple iterative procedure. The result is proved by using an argument of Haberman (1977). The author wishes to thank the Editor and the anonymous reviewers for their comments that helped to substantially improve the final version of this paper. This research was supported in part by a MURST grant (ex 60%).     

Some Properties of Orthologics

In this paper, we present three main results on orthologics. Firstly, we give a sufficient condition for an orthologic to have variable separation property and show that the orthomodular logic has this property. Secondly, we show that the class of modular orthologics has an infinite descending chain. Finally we show that there exists a continuum of orthologics.     

Reacting aggressively to injustice at work: a cognitive stage model

The present article develops a cognitive stage model of workplace aggression, which contends that aggressive reactions to perceived injustice are cognitively construed following three cognitive steps that include the assessment stage, the accountability stage, and the decision stage. These three cognitive stages are essential in understanding victims’ retaliatory actions against perpetrators of injustices. The model’s implications for research and practice are discussed.     

跨期决策是基于选项还是基于维度?

跨期决策有许多不同的理论模型,按其所指信息加工过程,可以分成基于选项的和基于维度的两类决策模型。前者认为各跨期选项被独立赋予一个主观价值,主观价值最大的选项被选择;而后者则认为选项是基于维度被比较的,比较中占优势的选项被选择。本文从行为结果、过程数据和对基于选项模型基本假设的质疑等角度综述了近来支持基于维度模型的证据;并提出未来需要进一步应用认知行为实验和眼动追踪技术对两类模型进行过程研究、在基于维度模型的指导下进行f MRI研究,以及加强损失领域的跨期决策研究以完善跨期决策模型。     

How experimental algorithmics can benefit from Mayo’s extensions to Neyman–Pearson theory of testing

Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Experimentation is necessary. The analysis of algorithms should follow the same principles and standards of other empirical sciences. This article focuses on stochastic search algorithms, such as evolutionary algorithms or particle swarm optimization. Stochastic search algorithms tackle hard real-world optimization problems, e.g., problems from chemical engineering, airfoil optimization, or bio-informatics, where classical methods from mathematical optimization fail. Nowadays statistical tools that are able to cope with problems like small sample sizes, non-normal distributions, noisy results, etc. are developed for the analysis of algorithms. Although there are adequate tools to discuss the statistical significance of experimental data, statistical significance is not scientifically meaningful per se. It is necessary to bridge the gap between the statistical significance of an experimental result and its scientific meaning. We will propose some ideas on how to accomplish this task based on Mayo’s learning model (NPT*).     

Reducing Measurement Error in Student Achievement Estimation

The achievement level is a variable measured with error, that can be estimated by means of the Rasch model. Teacher grades also measure the achievement level but they are expressed on a different scale. This paper proposes a method for combining these two scores to obtain a synthetic measure of the achievement level based on the theory developed for regression with covariate measurement error. In particular, the focus is on ordinal scaled grades, using the SIMEX method for measurement error correction. The result is a measure comparable across subjects with smaller measurement error variance. An empirical application illustrates the method.     

教师资格和职业发展因素对学生数学成绩的影响：一个跨文化比较

采用TIMSS2003中的数据,应用混合模型,比较香港、日本、瑞典和美国四个国家(地区)教师资格因素和职业发展因素对其学生数学学业成绩的影响。结果发现香港教师高学历和常有其他教师听课提高了学生成绩;瑞典教师的性别、专业和参加数学教学方法方面的职业发展活动,以及美国教师的专业和听其他教师讲课显著影响其学生成绩;日本教师资格和职业发展因素对其学生成绩没有影响。     

条件推理中的二元效应初探

通过预备实验选取前件(或后件)是二元(或多元)的5种条件命题的4种推理形式作为实验材料,以大学本科生为被试,考察了五种不同条件命题类型对4种推理结果的影响.结果表明命题类型、推理规则以及两者的交互作用都非常显著.这个结果进一步验证了条件推理的集合映射模型.     

AMPLE智力模型——PASS智力模型的扩展

本文根据实验事实,对PASS智力模型进行扩展,并提出一个简称AMPLE的智力模型。这个模型基于脑的四个功能系统学说,包括注意（attention）、操纵（manipulation）、计划（planning）、学习（learning）和评估（evaluation）等过程。它是一个囊括觉、知、情、意诸成分在内的全面的智力模型。