A Comparison of Population-Averaged and Cluster-Specific Approaches in the Context of Unequal Probabilities of Selection

Sampling designs of large-scale survey studies are typically complex, involving multiple design features such as clustering and unequal probabilities of selection. Single-level (i.e., population-averaged) methods that use adjusted variance estimators and multilevel (i.e., cluster-specific) methods provide two alternatives for modeling clustered data. Although the literature comparing these methods is vast, comparisons have been limited to the context in which all sampling units are selected with equal probabilities (thus circumventing the need for sampling weights). The goal of this study was to determine under what conditions single-level and multilevel estimators outperform one another in the context of a two-stage sampling design with unequal probabilities of selection. Monte Carlo simulation methods were used to evaluate the impact of several factors, including population model, informativeness of the design, distribution of the outcome variable, intraclass correlation coefficient, cluster size, and estimation method. Results indicated that the unweighted estimators performed similarly across conditions, whereas the weighted single-level estimators tended to outperform the weighted multilevel estimators, particularly under nonideal sample conditions. Multilevel weight approximation methods did not perform well when the design was informative. An empirical example is provided to demonstrate how researchers might investigate the implications of the simulation results in practice.     

The Economic, Political, Strategic, and Rhetorical Uses of Simple Constructive Dilemma in Legal Argument

The author argues that simple constructive dilemma is a valuable argument form for reasoning under relative conditions of uncertainty. When applied to legal argument this value of simple constructive dilemma is shown in its political, strategic, rhetorical, and especially economic, uses by lawyers and judges. After considering some examples of the use of the form by trial lawyers, the author gives examples of the more interesting use of the form by appellate courts. Research into the use of simple constructive dilemma by appellate courts helps us to understand how those courts distribute judicial resources. It also helps us to understand the political role of the appellate courts with respect to the doctrine of the separation of powers. Given some of the specific examples of legal reasoning used by the appellate courts presented in this article, and given the discussion of the doctrine of precedent, the article’s focus is on common law legal systems of the Anglo-American-type.     

The relationship between person–team fit with supervisor–subordinate guanxi and organizational justice in a Chinese state‐owned enterprise

The study examines how subordinates’ perceptions of justice in Chinese working teams are influenced by the person–team fit (or the misfit) of the supervisor–subordinate guanxi (SSG). We tested our hypotheses on a sample of 1,086 employees from 149 work groups in one state‐owned enterprise; using a combination of cross‐level polynomial regression and response surface analysis. The results showed that subordinates’ perceptions of justice, in terms of procedural, interactional, and distributive justice, were higher when individual SSG was congruent with the average SSG in the team (TSSG) at a high level than when an individual SSG was congruent with TSSG at a low level. Meanwhile, in the misfit situation, subordinates’ perceptions of the three dimensions of justice were higher when the individual SSG relative to TSSG (relative SSG, or RSSG) was surplus (individual SSG exceeded TSSG) versus RSSG deficient (TSSG exceeded individual SSG). Nevertheless, the subordinates’ perceptions of distributive justice were the highest when SSG and TSSG were almost equal in high level, as observed by integrating the fit with the misfit line. These findings highlight the important boundary cultural conditions of the psychological processes of justice and provide useful insights for international managers conducting their business in China.     

Analysis of Variance Models with Stochastic Group Weights

The analysis of variance (ANOVA) is still one of the most widely used statistical methods in the social sciences. This article is about stochastic group weights in ANOVA models – a neglected aspect in the literature. Stochastic group weights are present whenever the experimenter does not determine the exact group sizes before conducting the experiment. We show that classic ANOVA tests based on estimated marginal means can have an inflated type I error rate when stochastic group weights are not taken into account, even in randomized experiments. We propose two new ways to incorporate stochastic group weights in the tests of average effects – one based on the general linear model and one based on multigroup structural equation models (SEMs). We show in simulation studies that our methods have nominal type I error rates in experiments with stochastic group weights while classic approaches show an inflated type I error rate. The SEM approach can additionally deal with heteroscedastic residual variances and latent variables. An easy-to-use software package with graphical user interface is provided.     

Anger, Fear, or Sadness: Faculty Members' Emotional Reactions to Collective Pay Disadvantage

As part of a mail survey about their work experiences, university faculty members reported their specific emotional reactions to group inequities in faculty pay and benefits. The results indicate that sadness, fear, and anger are distinct emotional responses to a collective disadvantage. Group-based anger mediated the relationship between collective disadvantage and willingness to protest whereas group-based sadness mediated the relationship between collective disadvantage and organizational loyalty. Based on an integration of cognitive appraisal models of emotion with RD theory, four other predictors of intergroup emotions—(1) the legitimacy of the process that produced the deprivation, (2) whether another agent was responsible, (3) group efficacy, and (4) whether the situation would improve or become worse—were identified and tested. The measurement of specific emotional reactions to perceived collective disadvantage extends and refines RD approaches to collective action and organizational loyalty.     

想象重要他人对自我评价转移的影响

研究目的：本研究的目的是在中国文化背景下,考察想象不同的重要他人对于个体自我评价转移的影响,并探讨自尊在其中的调节作用。考虑到大学生年龄相当,拥有相似的角色经验,故本研究选用了大二女生作为被试。研究选择了三类重要他人：父母、同性朋友、异性朋友（包括男朋友）,由于每一类重要他人所对应的关系自我各不相同,所以研究编制了针对不同重要他人的自我评价特质词表,作为因变量测量的工具。 过程与方法：本研究设计了两个实验,实验中将用到录音机。实验一为单因素实验设计,在三个实验室同时展开,各个实验室的想象重要他人分别为父母、同性朋友、异性朋友。主试告知参与者,本实验将进行一项大学女生的想象力测试,首先聆听一段描写风景的散文录音,进行想象练习。然后请她们在头脑中想象一位指定的重要他人,比如想象重要他人的形象、语言、行为等特征,尽可能详细生动。想象结束,首先请被试回忆并填写刚才想象的主要内容。然后告诉被试,另一个课题组正在搜集有关“当代大学生自我形象”的资料,请她们帮忙填写《自我评价特质词表》,对自己的一些特质进行评价。最后,主试向参与者致谢并进行了解释。实验二的想象重要他人为同性朋友和男朋友,实验过程与实验一基本一致,在自我评价测量中采用了专门针对“同性朋友”和“男朋友”的量表,并在想象完成后填写自尊量表。 结果与结论：本研究所有统计检验的显著性水平在a<0.05的水平上进行。研究探讨了中国文化背景下大学女生的关系自我评价特质,发现其与西方文化背景下的关系自我评价特质显著不同。证明了想象重要他人影响个体自我评价的维度,并会产生自我评价转移的现象,没有发现自尊变量的调节作用。     

Some Weakened Gödelian Ontological Systems

We describe a KB Gödelian ontological system, and some other weak systems, in a fully formal way using theory of types and natural deduction, and present a completeness proof in its main and specific parts. We technically and philosophically analyze and comment on the systems (mainly with respect to the relativism of values) and include a sketch of some connected aspects of Gödel's relation to Kant.     

绝对的公平和相对的公平

效率和公平是经济伦理的两大原则 ,也是制定和衡量经济政策的价值依据 ,但大部分经济学家都认为 ,效率和公平存在着不可调和的矛盾 ,使得人们在指导经济行为和制定经济政策时处于两难境地。本文通过对自由主义、平等主义和功利主义公平观的批判 ,试图说明 ,从历史唯物主义的立场出发 ,抛弃绝对的公平观 ,主张相对的公平观 ,便能够解决这个难题。     

Weight approximations in multi‐attribute decision models

The use of surrogate weights based on rankings has been proposed as a method for avoiding difficulties associated with the elicitation of weights in multi‐attribute decision analysis. When the simple multiattribute rating technique using swings (SMARTS) method is being employed it has been suggested that rank order centroid (ROC) weights are the best surrogate weights to use. This study shows that ROC weights are appropriate to use as a substitute for original weights that are constrained to sum to a fixed total (usually 1 or 100) as used in the point allocation method. If, however, the original weights are determined without any initial restrictions, as in the direct rating method, and are then normalized, which is the common procedure in SMARTS analysis, then the ROC weights do not provide the best approximations to the original weights. This paper shows how to obtain rank order distribution (ROD) weights that provide a better approximation than the ROC approach to unrestricted original weights. The paper also shows that, as the number of attributes in a decision problem increases, the ROD weights approximate to the more easily calculated rank sum weights. Copyright © 2003 John Wiley & Sons, Ltd.     

Varieties of contrast: a review of incentive relativity by charles f. Flaherty

The phenomenon of contrast has been studied from two quite separate perspectives, one derived from the classic studies of incentive contrast such as Crespi (1942) and the other from the study of behavioral contrast within behavior analysis. This book reviews both of these types of contrast effects and finds both differences and similarities between them. Still at issue is the validity of the interpretation of contrast that assumes that the value of some target level of reward is modified in inverse relation to the level of reward from other sources in the same context. This concept works well for the classic studies of incentive contrast, but is challenged by the emerging importance of anticipatory contrast and the finding in both of the separate research traditions that anticipatory contrast is inversely related to other measures of reinforcement value.