Spatial and conjoint models based on pairwise comparisons of dissimilarities and combined effects: Complete and incomplete designs

In pairwise multidimensional scaling, a spatial representation for a set of objects is determined from comparisons of the dissimilarity of any two objects drawn from the set to the dissimilarity of other pairs of objects drawn from that set. In pairwise conjoint scaling, comparisons among the joint effects produced by pairs of objects, where the objects in a pair are drawn from separate sets, are used to determine numerical representations for the objects in each set. Monte Carlo simulations of both pairwise dissimilarities and pairwise conjoint effects show that Johnson's algorithm can provide good metric recovery in the presence of high levels of error even when only a small percentage of the complete set of pairwise comparisons are tested.     

Axiomatic and numerical conjoint measurement: An evaluation of diagnostic efficacy

Synthetic data are used to examine how well axiomatic and numerical conjoint measurement methods, individually and comparatively, recover simple polynomial generators in three dimensions. The study illustrates extensions of numerical conjoint measurement (NCM) to identify and model distributive and dual-distributive, in addition to the usual additive, data structures. It was found that while minimum STRESS was the criterion of fit, another statistic, predictive capability, provided a better diagnosis of the known generating model. That NCM methods were able to better identify generating models conflicts with Krantz and Tversky's assertion that, in general, the direct axiom tests provide a more powerful diagnostic test between alternative composition rules than does evaluation of numerical correspondence. For all methods, dual-distributive models are most difficult to recover, while consistent with past studies, the additive model is the most robust of the fitted models.Douglas Emery is now at the Krannert Graduate School of Management, Purdue University, West Lafayette, IN, on leave from the University of Calgary.     

The use of teachers as behavioral observers

The effect of using teachers as behavioral observers on both student and teacher behavior was examined with eight teachers and 32 elementary school children. The frequency of prompts (but not praise or criticism) to those students observed by the teacher increased significantly from nonobserver to teacher observed experimental phases. In addition, students observed by the teacher showed more change in appropriate behavior than students who were not observed. The significance of these findings for research and therapy is discussed.     

Considerations in the choice of interobserver reliability estimates

Two types of interobserver reliability values may be needed in treatment studies in which observers constitute the primary data-acquisition system: trial reliability and the reliability of the composite unit or score which is subsequently analyzed, e.g., daily or weekly session totals. Two approaches to determining interobserver reliability are described: percentage agreement and "correlational" measures of reliability. The interpretation of these estimates, factors affecting their magnitude, and the advantages and limitations of each approach are presented.     

Correlation and prediction in ordinal test theory

Based on the test theory model for ordinal measurements proposed by Schulman and Haden, the present paper considers correlations between tests, attenuation, regressions involving true and observed scores, and prediction of test reliability.The population correlation between tests is shown to be related to the expected sample correlation for samples of sizen ₁ andn ₂. Errors of estimation, measurement and prediction are found to be similar to their counterparts in interval test theory, while attenuation is identical to its counterpart. The bias in estimating population reliability from sample data is compared for Kendall's tau and Spearman's rho.The author wishes to thank the referees for their helpful comments on an earlier draft of this paper, and in particular, for the suggested alternative methods of establishing some of the presented results.     

管理者权力距离对员工创造性观点产生与实施关系的调节作用

本研究考察了管理者的权力距离对于员工创造性观点产生与实施过程的调节作用。对170名企业员工和他们的直接主管的问卷调查结果表明：（1）管理者的权力距离对员工创造性观点的产生与实施的影响是不同的。管理者的高权力距离会抑制员工创造性观点的产生,但会促进员工创造性观点的实施。（2）管理者的高权力距离会促进员工创造性想法从产生向实施的转化。研究讨论了管理者的权力距离水平对于创新过程影响的实践意义。     

领导-部属交换的多维结构及对工作绩效和情境绩效的影响

通过两项研究,对领导-部属交换的结构及其对员工的工作绩效和情境绩效进行了探讨。采用探索性因素分析、验证性因素分析、分层回归分析等方法对来自不同企业的员工及其主管的问卷调查结果进行了分析。 结果表明,领导-部属交换是一个多维度的结构,由情感、忠诚、贡献和专业尊敬四个维度组成。单维度的领导-部属交换和多维度的领导-部属交换都对员工的工作绩效和情境绩效具有预测作用,但多维度领导-部属交换的预测作用更强。     

环境中的风险认知特征

采用多维度的心理测量范式,研究公众在“影响程度”、“可控性”、“了解程度”、“影响的持续性”、“发生的可能性”、“结果的严重性”六个维度上对39个环境条目的风险认知特征。研究结果验证了“风险程度指标”,并将环境风险划分为“生态环境”“疾病与灾害”“生活环境”三个大类并探讨其风险认知特征。结果显示,由“客观认识”和“主动作用”两维度形成的认知地图可有效地指导风险沟通。