Future-Oriented Job Analysis: A Description of the Process and Its Organizational Implications

An application of a future-oriented job analysis (FOJA) procedure used to gain an understanding of newly formed entry-level positions in a large insurance organization is described. A brief review of the relevant literature is presented to serve as a foundation upon which to consider the current FOJA procedure. Specific assumptions, stages, and results of the current procedure are detailed. The benefits of this application of FOJA are also discussed.     

On structural models for analyzing change

The recommendation to base the analysis of multi-wave data upon explicit models for change is advocated. Several univariate and multivariate models are described, which emerge from an interaction between the classical test theory and the structural equation modeling approach. The resulting structural models for analyzing change reflect in some of their parameters substantively interesting aspects of intra- and interindividual change in follow-up studies. The models are viewed as an alternative to an ANOVA-based analysis of longitudinal data, and are illustrated on data from a cognitive intervention study of old adults (Bakes et al , 1986). The approach presents a useful means of analyzing change over time, and is applicable for purposes of (latent) growth curve analysis when analysis of variance assumptions are violated (e.g., Schaie & Hertzog, 1982; Morrison, 1976).     

运动竞赛焦虑量表中国常模的修订

运动竞赛焦虑量表是由美国的马腾斯专为运动员编制的特质焦虑量表。它是一种与特定的情境相结合的、能够有效地测出被测者通常在运动竞赛(或游戏)时焦虑水平的量表。我们在全国六大区十四个省市抽取了2,988名被试,修订了10—12岁(男、女),13—15岁(男、女),16—18岁(男、女)和19—25岁(男、女)的八个常模。同时,进行了效度和信度检验。本量表可以作为对业余的或专业的运动员进行运动竞赛焦虑的诊断与研究用。     

On the relation between demographic variables and neuropsychological test performance

This paper reports a study of the relation between demographic variables and neuropsychological test performance in a sample of 141 normal subjects. A preliminary analysis demonstrated the importance of age, educational level, sex, and Verbal IQ for the prediction of neuropsychological test performance. The main study is a detailed analysis of the relation between these four variables and neuropsychological test performance. The results are presented in the form of standardized regression coefficients and are discussed in relation to the problem of predicting expected premorbid performance in neuropsychological tests.     

Classical test theory based and factor analytic structural models for analyzing change: A note on differences and similarities

This note is concerned with differences and similarities between structural models for analyzing change, which are conceptualized within two different modelling traditions: the one based on the classical test theory, and that within the factor-analytic approach. It is shown that these two possibilities lead to models for studying change, which are indistinguishable when using for data analytic purposes structural modeling programs, such as LISREL, EQS, COSAN, LISCOMP, RAMONA, EzPATH, SAS PROC CALIS. The reason for this data-analytic equivalence of the two conceptually different types of models is the confounding of their differences in the corresponding implied covariance matrix structures.     

A model-based standardization approach that separates true bias/DIF from group ability differences and detects test bias/DTF as well as item bias/DIF

A model-based modification (SIBTEST) of the standardization index based upon a multidimensional IRT bias modeling approach is presented that detects and estimates DIF or item bias simultaneously for several items. A distinction between DIF and bias is proposed. SIBTEST detects bias/DIF without the usual Type 1 error inflation due to group target ability differences. In simulations, SIBTEST performs comparably to Mantel-Haenszel for the one item case. SIBTEST investigates bias/DIF for several items at the test score level (multiple item DIF called differential test functioning: DTF), thereby allowing the study of test bias/DIF, in particular bias/DIF amplification or cancellation and the cognitive bases for bias/DIF.This research was partially supported by Office of Naval Research Cognitive and Neural Sciences Grant N0014-90-J-1940, 4421-548 and National Science Foundation Mathematics Grant NSF-DMS-91-01436. The research reported here is collaborative in every respect and the order of authorship is alphabetical. The assistance of Hsin-hung Li and Louis Roussos in conducting the simulation studies was of great help. Discussions with Terry Ackerman, Paul Holland, and Louis Roussos were very helpful.     

对从HSK题库中计算机自动生成试卷稳定性的试验检验

由计算机从题库中自动生成的试卷能否保持难度的相对稳定？根据IRT进行的等值误差范围有多大？为了回答这些问题,本文以共同组等值作为标准,对基于IRT之上的共同题等值误差进行了试验检验。试验中,采取一定措施保证了考生的动机水平。结果显示,IRT等值的校正方向都是正确的。在4个分测验中有3个分测验的的等值校正效果较理想,1个分测验的等值校正效果不够理想。计算机自动生成的试卷与原有人工命制的试卷在得分方面比较一致,分数相关达到0.931,获得证书的情况也是比较一致的。     

Are cognitive sex differences disappearing? Evidence from Spanish populations

Sex differences in cognitive abilities were determined using the norms from two standardizations of the Differential Aptitude Test (DAT) and the Primary Mental Abilities (PMA) conducted between 1979 and 1995 in Spain. The standardized sex differences (ds) were computed separately for the DAT and the PMA subscales. Males scored higher in the DAT subscales Verbal Reasoning, Numerical Ability, Spatial Relations and Mechanical Reasoning, as well as in the PMA subscales Numerical Ability and Mental Rotation. Females scored higher in Inductive Reasoning (PMA-R) in the 1979 and 1995 standardizations. Taken together, these data do not support the hypothesis that cognitive sex differences are disappearing: there are still some differences favoring females and still some differences favoring males.     

中国古代心理测验及其特色与价值

文章对中国古代心理测验历史进行反思,认为中国古代心理测验是以知人观为其理论依据,渊远流长,内容丰富,既有类似于现代西方的小时空心理测验,也有西方至今尚未充分关注的大时空心理测验。文章还阐释了中国古代心理测验的几个具体特色;置测验于生活实际中;文化与超文化测验井存;测验与选拨、训练、教学、娱乐相结合;精于定性,疏于定量。