Ear Decomposition for Pair Comparison Data

An efficient graph-theoretical decomposition technique is introduced that treats inconsistencies in behavioral data as systematic adaptations rather than random errors. This technique, which is known as ear decomposition, reduces inconsistencies in any binary data set to a basis of directed cycles. Such a basis characterizes the data set in terms of inconsistencies and its size offers an improved measure of internal consistency. In two examples it is illustrated how different implementations of the ear decomposition technique can help to identify choices that are critical for violations of transitivity.     

管理胜任力特征分析:结构方程模型检验

管理胜任力特征分析是人事选拔与评价的重要内容之一。本研究在运用基于胜任力的职位分析并总结国内外有关文献的基础上,编制了管理综合素质评价量表,并运用此量表调查了220名中高层管理者,采用因素分析和结构方程模型检验企业高级管理者胜任力特征的结构。结果表明,管理胜任力特征结构由管理素质和管理技能等两个维度构成,但在维度要素及其关键度上,职位层次间存在显著差异。本研究为管理职位的测评选拔提供了新的理论依据。     

记忆监测是有赖于状态的还是有赖于特质的

记忆监测是有赖于状态的．还是有赖于特质的?实验针对两种预见性监测任务——任务难度的预见(EOL)和学习程度的判断(JOL),选用三种实验材料,对记忆监测的准确性进行了跨任务、跨情境的一致性考察。发现在任务难度的预见与学习程度的判断的准确性之间,存在着跨任务的高度一致性;在不同的三项材料之间．存在着跨情境的高度相关。本研究结果从一个侧面支持了记忆监测的特质说。     

Examining the Relationship Between Mathematics Anxiety and Mathematics Performance: An Instructional Hierarchy Perspective

This study investigated the relationship between mathematics anxiety, fluency, and error rates in basic mathematical operations among college students. College students were assigned to one of two groups (high anxiety or low anxiety) based on results from the Fennema-Sherman Mathematics Anxiety Scale (FSMAS). Both groups were then presented with timed tests in basic mathematical operations (addition, subtraction, multiplication, division, and linear equations). Results suggested that the higher mathematics anxiety group had significantly lower fluency levels across all mathematical operations tests. However, there were no significant differences in error rates between the two groups across any of the probes suggesting that mathematics anxiety is more related to higher levels of learning than to the initial acquisition stage of learning. Discussion focuses on a) stages of learning and their potential relationship to mathematics anxiety, b) the relationship between mathematics anxiety and mathematics performance, and c) directions for future research.     

Embedding Logics into Product Logic

We construct a faithful interpretation of ukasiewicz's logic in product logic (both propositional and predicate). Using known facts it follows that the product predicate logic is not recursively axiomatizable.We prove a completeness theorem for product logic extended by a unary connective of Baaz [1]. We show that Gödel's logic is a sublogic of this extended product logic.We also prove NP-completeness of the set of propositional formulas satisfiable in product logic (resp. in Gödel's logic).     

A Very Strong Set Theory?

Studia Logica - Using two distinct membership symbols makes possible to base set theory on one general axiom schema of comprehension. Is the resulting system consistent? Can set theory and...     

Common Ideological Roots of Speciesism and Generalized Ethnic Prejudice: The Social Dominance Human–Animal Relations Model (SD‐HARM)

Recent research and theorizing suggest that desires for group‐based dominance underpin biases towards both human outgroups and (non‐human) animals. A systematic study of the common ideological roots of human–human and human–animal biases is, however, lacking. Three studies (in Belgium, UK, and USA) tested the Social Dominance Human–Animal Relations Model (SD‐HARM) proposing that Social Dominance Orientation (SDO) is a key factor responsible for the significant positive association between ethnic outgroup attitudes and speciesist attitudes towards animals, even after accounting for other ideological variables (that possibly confound previous findings). Confirming our hypotheses, the results consistently demonstrated that SDO, more than right‐wing authoritarianism (RWA), is a key factor connecting ethnic prejudice and speciesist attitudes. Furthermore, Studies 2 and 3 showed that both SDO and RWA are significantly related to perceived threat posed by vegetarianism (i.e. ideologies and diets minimizing harm to animals), but with SDO playing a focal role in explaining the positive association between threat perceptions and ethnic prejudice. Study 3 replicated this pattern, additionally including political conservatism in the model, itself a significant correlate of speciesism. Finally, a meta‐analytic integration across studies provided robust support for SD‐HARM and offers important insights into the psychological parallels between human intergroup and human–animal relations. Copyright © 2016 European Association of Personality Psychology     

A Goal‐Priming Approach to Cognitive Consistency: Applications to Judgment

A fundamental criterion of judgment is consistency among beliefs. To augment traditional methods for studying cognitive consistency, we treat it as a goal and present a priming method for increasing its activation. Three studies use three criteria to validate the method: an increase in the biased evaluation of incoming information, speed in a lexical decision task, and participants' direct reports of greater goal activation. The method is then used to verify the role of the consistency goal in three diverse judgment phenomena. Priming cognitive consistency increases the search for postdecisional supporting information (selective exposure to information), the agreement between preference and prediction (the desirability bias or wishful thinking), and the adjustment of a socially unacceptable implicit attitude to conform to the corresponding explicit attitude. One conclusion is that the cause of these phenomena is not only motivated reasoning (driven directionally by a desired outcome) but also the purely cognitive and nondirectional process of simply making beliefs more consistent. Copyright © 2015 John Wiley & Sons, Ltd.     

Robust mean and covariance structure analysis through iteratively reweighted least squares

Robust schemes in regression are adapted to mean and covariance structure analysis, providing an iteratively reweighted least squares approach to robust structural equation modeling. Each case is properly weighted according to its distance, based on first and second order moments, from the structural model. A simple weighting function is adopted because of its flexibility with changing dimensions. The weight matrix is obtained from an adaptive way of using residuals. Test statistic and standard error estimators are given, based on iteratively reweighted least squares. The method reduces to a standard distribution-free methodology if all cases are equally weighted. Examples demonstrate the value of the robust procedure.The authors acknowledge the constructive comments of three referees and the Editor that lead to an improved version of the paper. This work was supported by National Institute on Drug Abuse Grants DA01070 and DA00017 and by the University of North Texas Faculty Research Grant Program.