Continuous and discrete latent structure models for item response data

Relations are examined between latent trait and latent class models for item response data. Conditions are given for the two-latent class and two-parameter normal ogive models to agree, and relations between their item parameters are presented. Generalizationss are then made to continuous models with more than one latent trait and discrete models with more than two latent classes, and methods are presented for relating latent class models to factor models for dichotomized variables. Results are illustrated using data from the Law School Admission Test, previously analyzed by several authors.     

A Third Principle of Justice

In this paper I argue that in order to secure the commitment of believers in reasonable comprehensive doctrines to political liberalism a third principle of justice needs to be adopted in the Original Position. Rawls acknowledges that neutral legislation by the liberal state may negatively affect some reasonable comprehensive doctrines, and I offer a third principle of justice to help alleviate this problem. This principle, which I believe is in keeping with the United States constitutional history especially where church-state relations are concerned, maintains that a constitutional regime should, insofar as possible, avoid adopting rules with harmful effects upon those comprehensive doctrines which satisfy the conditions of reasonable pluralism.     

快速书写条件下硬笔笔迹变量与认知及个性特征的关系

以圆珠笔为书写工具．北京市某中学高一学生为被试,有效数据169人．探讨了在快速抄写条件下,笔迹书写特征与认知及个性的关系：18个笔迹变量可抽取笔压、结构、特征、字体和空间五个反映字的书写特征的因素;书写特征与认知因素间,横、竖笔压与概念形成速度。整篇压与视力追踪、字位与眼手协调相关显著;横笔压与16PF测验中的畏缩退怯——冒险敢为有正相关;竖笔压与艾森克个性因素的N有高相关。     

Finite mixtures in confirmatory factor-analysis models

In this paper, various types of finite mixtures of confirmatory factor-analysis models are proposed for handling data heterogeneity. Under the proposed mixture approach, observations are assumed to be drawn from mixtures of distinct confirmatory factor-analysis models. But each observation does not need to be identified to a particular model prior to model fitting. Several classes of mixture models are proposed. These models differ by their unique representations of data heterogeneity. Three different sampling schemes for these mixture models are distinguished. A mixed type of the these three sampling schemes is considered throughout this article. The proposed mixture approach reduces to regular multiple-group confirmatory factor-analysis under a restrictive sampling scheme, in which the structural equation model for each observation is assumed to be known. By assuming a mixture of multivariate normals for the data, maximum likelihood estimation using the EM (Expectation-Maximization) algorithm and the AS (Approximate-Scoring) method are developed, respectively. Some mixture models were fitted to a real data set for illustrating the application of the theory. Although the EM algorithm and the AS method gave similar sets of parameter estimates, the AS method was found computationally more efficient than the EM algorithm. Some comments on applying the mixture approach to structural equation modeling are made.Note: This paper is one of the Psychometric Society's 1995 Dissertation Award papers.—EditorThis article is based on the dissertation of the author. The author would like to thank Peter Bentler, who was the dissertation chair, for guidance and encouragement of this work. Eric Holman, Robert Jennrich, Bengt Muthén, and Thomas Wickens, who served as the committee members for the dissertation, had been very supportive and helpful. Michael Browne is appreciated for discussing some important points about the use of the approximate information in the dissertation. Thanks also go to an anonymous associate editor, whose comments were very useful for the revision of an earlier version of this article.     

初级指挥官人格类型与PM领导行为类型有效性的关系

通过对陆军初级指挥官人格心理类型与领导行为有效性的心理学研究 ,探讨个人的领导潜能、人格心理类型对领导行为有效性的影响。研究发现 :1方差分析表明 ,具有不同领导行为的指挥官在人格维度上存在明显的统计学差异。提示了指挥官的领导行为取向与人格因素有密切的关系。2卡方分析结果也表明 ,PM型行为的军官在其人格特征上具有“ESTJ”组合特征 ,而 pm型的军官则正好相反 ;另外 ,pm型的军官在成就动机上获得高分的人数最少。3系统聚类分析显示 ,“成就动机”、“感觉”和“判断”三种人格因素与军事指挥官完成整体领导职能有着更为密切的关系。     

计量测验效度的一种方法——测量目标结构空间的实证性因素分析

该文提出了计量测验效度的一种统一方法。首先,根据测量目标由测验编制者提出一组可能的线性拟合模型,拟合模型的集合称作“测量目标结构空间”。然后运用实证性因素分析对各个假设的拟合模型进行多方面的拟合良好性检验。若其中的某一假设模型能最优地拟合预测资料,则该模型中的公共因素的方差总贡献与观测变量的总方差的比就可定义为该测验的效度     

教育因素对认知功能年老化过程的影响

应用言语－操作和人机对话两种方式共１２项作业,完成年龄和教育因素对认知功能影响的研究,被试共７３４人,４６－７５岁．结果表明：（１）年龄和教育因素对认知成绩的影响因作业而异,分别为年龄影响明显（图象自由回忆和无意义图形再认）、教育因素影响明显（卡片分类、图象分类和矩阵填图）、年龄和教育因素影响均明显（符号数字、词对联想学习、听觉和视觉数字广度）或均不明显（心算）．（２）四项非词语性作业速度明显受年龄和教育因素的双重影响．     

Application of the bootstrap methods in factor analysis

A Monte Carlo experiment is conducted to investigate the performance of the bootstrap methods in normal theory maximum likelihood factor analysis both when the distributional assumption is satisfied and unsatisfied. The parameters and their functions of interest include unrotated loadings, analytically rotated loadings, and unique variances. The results reveal that (a) bootstrap bias estimation performs sometimes poorly for factor loadings and nonstandardized unique variances; (b) bootstrap variance estimation performs well even when the distributional assumption is violated; (c) bootstrap confidence intervals based on the Studentized statistics are recommended; (d) if structural hypothesis about the population covariance matrix is taken into account then the bootstrap distribution of the normal theory likelihood ratio test statistic is close to the corresponding sampling distribution with slightly heavier right tail.This study was carried out in part under the ISM cooperative research program (91-ISM · CRP-85, 92-ISM · CRP-102). The authors would like to thank the editor and three reviewers for their helpful comments and suggestions which improved the quality of this paper considerably.     

The holocaust of first nation people: Residual effects on parenting and treatment implications

The residential school experience was devastating for many First Nation (Indian) people. The lingering effects of this era have been far reaching and remain painfully evident throughout Native communities. One of the more obvious areas directly affected has been parenting. This paper discusses current parenting difficulties of Native clients who were formerly in residential schools. A connection is made between the abuse experienced by these individuals and their parental struggles. Along with addressing various sociopolitical issues, a number of clinical interventions designed to promote the healing process of these victims and their families are provided and discussed.     

The relationship between qualitative and quantitative research: Lessons from feminist psychology

The dominant methodological approach in psychological research has involved the use of quantitative methods within a positivist framework. In this article we argue that both qualitative and quantitative methods have their strengths and limitations, depending on the research question under investigation. We examine some of the advantages of qualitative methods, paying particular attention to the value of such methods for feminist researchers. We challenge the positivist assumption that all research should be apolitical and value-free, arguing that the political context in which all research studies take place plays an important role in decisions about the appropriate research methods to use. Despite the value attached to qualitative methods by feminist researchers, there may be projects for which quantitative methods, or a combination of qualitative and quantitative techniques, are more suitable. We draw on examples from our research on the transition from school to the job market for young people, and a study of 16- to 19-year-old first time mothers to illustrate these points, examining the practical implications of our arguments for applied social psychology research.