Structural Equation Modeling With Unknown Population Distributions: Ridge Generalized Least Squares

This article proposes 2 classes of ridge generalized least squares (GLS) procedures for structural equation modeling (SEM) with unknown population distributions. The weight matrix for the first class of ridge GLS is obtained by combining the sample fourth-order moment matrix with the identity matrix. The weight matrix for the second class is obtained by combining the sample fourth-order moment matrix with its diagonal matrix. Empirical results indicate that, with data from an unknown population distribution, parameter estimates by ridge GLS can be much more accurate than those by either GLS or normal-distribution-based maximum likelihood; and standard errors of the parameter estimates also become more accurate in predicting the empirical ones. Rescaled and adjusted statistics are proposed for overall model evaluation, and they also perform much better than the default statistic following from the GLS method. The use of the ridge GLS procedures is illustrated with a real data set.     

《比较教育研究》计量评价与比较教育研究发展现状分析

文章以<中国期刊全文数据库>为统计源,对1998-2003年<比较教育研究>进行了计量评价,并得出我国比较教育研究人员的个人及小规模的智力因素在研究中仍起着决定性主导作用、科研人员使用的外语文献资料数量要高于中文文献资料、外语水平较高,和该刊论文质量、在国内比较教育研究方面所占有的重要地位都很高等结论.     

Four New Corrected Statistics for SEM With Small Samples and Nonnormally Distributed Data

When the assumption of multivariate normality is violated and the sample sizes are relatively small, existing test statistics such as the likelihood ratio statistic and Satorra–Bentler’s rescaled and adjusted statistics often fail to provide reliable assessment of overall model fit. This article proposes four new corrected statistics, aiming for better model evaluation with nonnormally distributed data at small sample sizes. A Monte Carlo study is conducted to compare the performances of the four corrected statistics against those of existing statistics regarding Type I error rate. Results show that the performances of the four new statistics are relatively stable compared with those of existing statistics. In particular, Type I error rates of a new statistic are close to the nominal level across all sample sizes under a condition of asymptotic robustness. Other new statistics also exhibit improved Type I error control, especially with nonnormally distributed data at small sample sizes.     

2000～2005年《青岛职业技术学院学报》载文及作者统计分析

运用文献计量学的统计方法，对2000-2005年出版的《青岛职业技术学院学报》（2000-2002年原刊名为《青岛教育学院学报》）从学报的载文量及篇密度，作者年龄、职称、性别，作者地域分布，载文分类比较等方面进行统计，分析该刊6年来的发文特点及载文作者的总体状况，以期为学报今后的发展找出方向。     

New Ways to Evaluate Goodness of Fit: A Note on Using Equivalence Testing to Assess Structural Equation Models

Structural equation models are typically evaluated on the basis of goodness-of-fit indexes. Despite their popularity, agreeing what value these indexes should attain to confidently decide between the acceptance and rejection of a model has been greatly debated. A recently proposed approach by means of equivalence testing has been recommended as a superior way to evaluate the goodness of fit of models. The approach has also been proposed as providing a necessary vehicle that can be used to advance the inferential nature of structural equation modeling as a confirmatory tool. The purpose of this article is to introduce readers to key ideas in equivalence testing and illustrate its use for conducting model–data fit assessments. Two confirmatory factor analysis models in which a priori specified latent variable models with known structure and tested against data are used as examples. It is advocated that whenever the goodness of fit of a model is to be assessed researchers should always examine the resulting values obtained via the equivalence testing approach.     

四种语义类名词槽系的初步研究

现代汉语的槽关系是汉语语义系统的一个重要的组成部分,对具体名词或某类名词来说,其所能搭配的槽类、槽序和槽系是不同的,这些不同便显示出各个或各类名词的区别性特征。槽系,即一类名词可以搭配的定语的槽类数。对名词的槽系进行统计,进而详细描写出名词前面的槽系,对中文信息处理和对外汉语教学都有实际的应用价值。     

2011年全国高等学校教育科研论文统计分析——基于14家高等教育类中文核心期刊的发文统计

2011年全国高等学校教育科研论文统计分析显示,综合性大学、全国重点大学以及高等教育学科博士点依然是教育科学研究的主力军;具有教育学学科背景的人员在高等教育科学研究中起到了领头军的作用;普通高职院校发文量仍然比较少,所占的比例较低;我国高等教育科研论文发表显示了院校、区域高度集中且发展不平衡的特点,教育科研成果多集中在东部沿海和经济发达地区,西北部边远地区明显薄弱;教育科研论文中作者单独署名和2人合作署名是两种主要的论文发表方式,文章涉及较多数据收集分析的文章多为合作署名;作者队伍主要以教师和科研人员为主,职称构成中主要以高级职称者为主,初级职称比例较少;论文受基金课题资助的比率较高,省部级基金资助所占比例较大;论文研究内容和主题呈集中趋势,研究方法多为规范研究,比较单一。     

2007年《情报科学》载文、作者与引文统计分析

运用文献计量学的方法,选取2007年<情报科学>(1-12)期所刊载的397篇学术论文为研究对象,从载文、作者与引文3个方面进行了统计分析.     

我国开放存取研究述评

对我国开放存取研究的相关论文进行统计分析,从基础理论、国外参考、模式研究、问题对策、版权探讨、资源类型及获取方式、对图书馆的影响和对策等方面,对国内开放存取的研究成果进行梳理,以期为以后的研究发展提供参考和借鉴.     

SPSS在数字图书馆用户数据分析中的应用

介绍SPSS的产生、发展和特点。在此基础上,阐明采用SPSS分析数字图书馆用户数据的原因。着重论述如何将SPSS应用于数字图书馆用户数据的分析,包括数据获取、统计和分析三个方面。其中,重点是时间序列分析、参数估计、假设检验、回归分析、相关分析、方差分析、聚类分析和多元统计分析及其中的因子分析等几个方面。最后指出应用SPSS进行数字图书馆用户数据分析的意义。