制造行业管理胜任力与绩效关系的实证研究

通过对571名制造型企业管理者的问卷调查,探索并验证了制造业管理胜任力结构维度,检验了不同背景因素对管理胜任力的影响。结果表明:制造业管理胜任力具有六维结构,包含22个指标,其信度和效度较好;不同管理层次的管理者在制造过程控制和市场营销策划维度上的评价有显著性差异,不同企业规模下的管理者在行业核心理念和产品系统管理维度上的评价有显著性差异;产品系统管理与市场营销策划能力对制造业管理者绩效有良好的预测力。同时发现,制造业管理胜任力不能较好地解释周边绩效的变异量。     

Comparing self-esteem and perceived control as predictors of first-year college students’ academic achievement

Due to its widespread popularity, self-esteem is continually being promoted to students despite limited empirical support for its effectiveness in improving their academic achievement. As a result, constructs that are potentially more salient to academic performance, such as perceived control, have gone relatively unnoticed. Although past research has examined the link between students’ academic achievement and either their self-esteem or perceived control, few studies have compared both constructs simultaneously to elucidate which one is more important to academic success. This longitudinal study directly contrasted the effects of self-esteem and perceived control on the academic performance of 802 first-year college students. After accounting for incoming ability (high school grades), age, and gender, a structural equation model showed perceived control positively predicted students’ GPA. In contrast, the predictive effect of self-esteem on GPA was non-existent. Findings indicate that compared to self-esteem, perceived control is a more powerful predictor of first-year college students’ GPA. Implications for utilizing educational interventions to boost perceived control among college students are discussed.     

Identifying Variables Responsible for Data not Missing at Random

When data are not missing at random (NMAR), maximum likelihood (ML) procedure will not generate consistent parameter estimates unless the missing data mechanism is correctly modeled. Understanding NMAR mechanism in a data set would allow one to better use the ML methodology. A survey or questionnaire may contain many items; certain items may be responsible for NMAR values in other items. The paper develops statistical procedures to identify the responsible items. By comparing ML estimates (MLE), statistics are developed to test whether the MLEs are changed when excluding items. The items that cause a significant change of the MLEs are responsible for the NMAR mechanism. Normal distribution is used for obtaining the MLEs; a sandwich-type covariance matrix is used to account for distribution violations. The class of nonnormal distributions within which the procedure is valid is provided. Both saturated and structural models are considered. Effect sizes are also defined and studied. The results indicate that more missing data in a sample does not necessarily imply more significant test statistics due to smaller effect sizes. Knowing the true population means and covariances or the parameter values in structural equation models may not make things easier either. The research was supported by NSF grant DMS04-37167, the James McKeen Cattell Fund.     

项目组合在结构方程模型中的应用

项目组合（itemparceling）是对同一量表中的若干项目进行整合并形成新的观测指标的过程。虽然一直以来它都是一个有争议的议题,但随着其在结构方程模型中的应用日益广泛,它越来越受到研究者重视。文章从项目组合的基本逻辑、优缺点以及具体方法等方面对项目组合的研究进行了概括,并在此基础上提出了使用的具体建议：（1）根据研究的目的与具体情境选择是否需要组合;（2）组合之前必须首先确定概念的维度性;（3）项目组合最好建立在一定的理论基础上等等。未来的研究可以深入探讨各种组合方法对模型拟合以及参数估计的影响以及项目组合在一些SEM高阶应用中的效果,并进一步与项目反应理论等测量理论相结合     

非英语专业大学生CET4成绩影响因素的结构模型

以501名参加过CET4的非英语专业大学生为研究对象,通过英语自我效能感问卷（ESEQ）、英语学习焦虑量表（ELAS）和英语学习策略量表（ELSI）的测量,探讨CET4成绩与其主要影响因素性别、英语自我效能感、英语学习焦虑和英语学习策略之间的结构关系模型。结果显示：（1）非英语专业大学生的英语学习焦虑存在显著的性别差异（女生低于男生）;（2）性别除与英语学习策略不存在直接路径作用外,与CET4成绩、英语自我效能感、英语学习焦虑间均存在直接路径作用;（3）英语学习焦虑对CET4成绩既存在直接路径作用,又通过英语自我效能感、英语学习策略和英语自我效能感的中介产生问接路径作用;（4）英语学习策略仅通过英语自我效能感的中介对CET4成绩产生间接路径作用。研究还表明英语自我效能感在CET4成绩影响因素的结构模型中起着瓶颈作用。     

结构方程模型检验：拟合指数与卡方准则

讨论了Hu和Bentler（1998,1999）推荐的检验结构方程模型的7个拟合指数准则,对这7个指数的历史、特点和表现做了比较详细的述评。指出了他们基于这7个指数的单指数准则和2-指数准则的不足之处。提出了超低显著性水平下的卡方准则,并部分重复他们的模拟例子,将卡方准则与这7个指数准则比较,结果说明新的卡方准则优于其中的6个,与另一个相当。最后简要说明了应当如何检视拟合指数进行模型检验和模型比较。     

表面特征和结构特征在故事类比通达中的作用

在基于相似性的迁移研究中,表面特征和结构特征在类比提取过程中的作用是研究者关注的中心课题。自20世纪90年代以来,不同的研究者在故事类比通达研究的基础上,得出有关表面特征和结构特征的作用的不同结论。文章以表面特征和结构特征的概念为切入点,主要介绍表面特征和结构特征在故事类比通达中的作用的理论分歧与类比通达模型,指出当前的研究中存在的问题,并提出新的类比通达研究的框架。     

Work Stress and Marriage: A Theoretical Model Examining the Relationship Between Workaholism and Marital Cohesion

Using structural equation modeling the relationship of work stress and marital cohesion was empirically investigated. It was hypothesized that work stress would have an inverse relationship with marital cohesion. Participants were a random sample of 326 adult females who were members of the American Counseling Association. The results of the data-model fit analyses support the hypothesized relationship. The coefficient of determination for the structural equation was 0.60 indicating a substantial degree of explanation for the relationship tested. Implications of these findings for future research are presented.     

BRIEF EXPERIMENTAL ANALYSIS OF STIMULUS PROMPTS FOR ACCURATE RESPONDING ON ACADEMIC TASKS IN AN OUTPATIENT CLINIC

Brief multielement designs were used to examine the effects of specific instructional strategies on accuracy of academic performance during outpatient evaluations of 4 children with learning disorders. Instructional strategies that improved accuracy on academic tasks were identified for all participants. These results suggest that the application of experimental analysis methodologies to instructional variables may facilitate the identification of stimulus prompts that are associated with enhanced academic performance.     

An alternative two stage least squares (2SLS) estimator for latent variable equations

The Maximum-likelihood estimator dominates the estimation of general structural equation models. Noniterative, equation-by-equation estimators for factor analysis have received some attention, but little has been done on such estimators for latent variable equations. I propose an alternative 2SLS estimator of the parameters in LISREL type models and contrast it with the existing ones. The new 2SLS estimator allows observed and latent variables to originate from nonnormal distributions, is consistent, has a known asymptotic covariance matrix, and is estimable with standard statistical software. Diagnostics for evaluating instrumental variables are described. An empirical example illustrates the estimator. I gratefully acknowledge support for this research from the Sociology Program of the National Science Foundation (SES-9121564) and the Center for Advanced Study in the Behavioral Sciences, Stanford, California. This paper was presented at the Interdisciplinary Consortium for Statistical Applications at Indiana University at Bloomington (March 2, 1994) and at the RMD Conference on Causal Modeling at Purdue University, West Lafayette, Indiana (March 3-5, 1994).