创业能力情景模拟训练测评方法及系统研究

随着创业能力学习论逐渐被大家接受,创业者的创业能力如何训练提高和评价成为人们关注的焦点.通过资料综述确定成功创业者拥有的创业能力特征因子,即动机、品质、自我认知、价值观和深层次创业知识经验与技能,根据5种因子特征,在E-prime测评软件平台上分别采用内隐联想测试（IAT）、镶嵌图形测试和斯特鲁普效应测试（Stroop）,可以建立一种创业能力情景模拟综合测评方法,设计其测评系统程序.两组被试测评结果相关分析表明：创业动机不同的两组被试IAT测评分在置信度95％区间存在显著差异;创业能力不同的两组被试总测评分也存在显著差异.     

Comments on specification of household expenditure functions and equivalence scales by nonparametric regression

This paper considers Lagrange Multiplier (LM) and Likelihood Ratio (LR) tests for determining the cointegrating rank of a vector autoregressive system. n order to deal with outliers and possible fat-tailedness of the error process, non-Gaussian likelihoods are used to carry out the estimation. The limiting distributions of the tests based on these non-Gaussian pseudo-)likelihoods are derived. These distributions depend on nuisance parameters. An operational procedure is proposed to perform inference. It appears that the tests based on non-Gaussian pseudo-likelihoods are much more powerful than their Gaussian counterparts if the errors are fat-tailed. Moreover, the operational LM-type test has a better overall performance than the LR-type test. Copyright O 1998 by Marcel Dekker, Inc.     

Evaluation of an analysis approach used to account for extra-variation in clustered categorical responses

This article presents the results of a simulation study investigating the performance of an approach developed by Miller and Landis (1991) for the analysis of clustered categorical responses. Evaluation of this “two-step” approach, which utilizes the method of moments to estimate the extra-variation pardmeters and subsequently incorporates these parameters into estimating equations for modelling the marginal expectations, is carried out in an experimental setting involving a comparison between two groups of observations. We assume that data for both groups are collected from each cluster and responses are measured on a three-point ordinal scale. The performance of the estimators used in both “steps” of the analysisis investigated and comparisons are made to an alternative analysismethod that ignores the clustering. The results indicate that in the chosen setting the test for a difference between groups generally operatbs at the nominal α=0.05 for 10 or more clusters and hasincreasing power with both an increasing number of clusters and an inrreasing treatment effect. These results provide a striking contrasc to those obtained from an improper analysis that ignores clustering.     

On Locating and Characterizing Parameter Variation by the Mosumsq Test Statistic

In modelling a system structure it is often important to test the constancy of the structural parameters. If the hypothesis of constant parameters is rejected we wish to characterize the parameter variation. In this paper we examine the usefulness of the MOSUMSQ test statistics for locating and characterizing the parameter variation in linear regression models. The means and the variances of the test statistics are given for non-random parameter variation. The observed path of the MOSUMSQ test statistics provides valuable knowledge about the time of the onset of the parameter change and whether it is instantaneous or gradual.     

ON SOME OPTIMALITY PROPERTIES OF FISHER-RAO SCORE FUNCTION IN TESTING AND ESTIMATION

The score function is associated with some optimality features in statistical inference. This review article looks on the central role of the score in testing and estimation. The maximization of the power in testing and the quest for efficiency in estimation lead to score as a guiding principle. In hypothesis testing, the locally most powerful test statistic is the score test or a transformation of it. In estimation, the optimal estimating function is the score. The same link can be made in the case of nuisance parameters: the optimal test function should have maximum correlation with the score of the parameter of primary interest. We complement this result by showing that the same criterion should be satisfied in the estimation problem as well.     

Response transformations in repeated measures and growth curve models

This article describes estimation and inference procedures for the parameters of the Box-Cox and foided-power transformations in repeated measures and growth curve models. Procedures for computing maximum likelihood estimates of the transformation and covariance parameters under several covanance structures (omnibus sphericity, local sphericity, and unstructured) are described. Lack of fit statistics and hypothesis tests for comparing these structures also are described. The procedures are illustrated on three data sets. Software for performing the analyses in the SAS System is described and is available from the authors.     

项目教学法在PLC课程教学中的应用

PLC课程是职业院校电气工程类、机电一体化类及自动化类专业的主干专业课程之一。传统的教学方式很难提高学生的实践动手能力。引入项目教学法不但能够提高学生的实践动手能力,还能够让学生真正品尝到成功的喜悦,体验到成就感,认识到自己的智力潜能,提高学习的主动性和积极性,更能满足企业的用人需求。     

文化创意产业的规划与政策制定研究

文化创意产业宜以行政和市场“两个对接”作为基本分析方法，其产业的规划要求理清服务业的分类，实行文化制造业、文化服务业和文化贸易业并行发展。     

高校党校建设和创新的思路与举措

党的十七大报告明确提出，要以改革创新精神加强党的自身建设，为新时期、新阶段全面推进党的建设提供了指导原则和行动纲领。高校党校教育在高校党的建设和党的事业中具有重要的地位和作用。从3个方面阐述高校党校建设和创新的思路与举措：认清形势，坚定信念，加强高校党校建设工作；把握方向，深入研究，探索高校党校建设路径；解放思想，锐意改革，创新高校党校建设思路。     

试论司法考试对地方院校法学教育的改革启示——对北京市一所重点大学法学院的在校生司法考试的意向调查及分析

本文从北京市一所重点大学法学院在校生的司法考试意向调查入手，通过对地方法律院校的法学教育的实证分析．指出了司法考试作为促进职业化教育的手段和导向的重要性。