Influence analysis for the factor analysis model with ranking data

Influence analysis is an important component of data analysis, and the local influence approach has been widely applied to many statistical models to identify influential observations and assess minor model perturbations since the pioneering work of Cook (1986) . The approach is often adopted to develop influence analysis procedures for factor analysis models with ranking data. However, as this well‐known approach is based on the observed data likelihood, which involves multidimensional integrals, directly applying it to develop influence analysis procedures for the factor analysis models with ranking data is difficult. To address this difficulty, a Monte Carlo expectation and maximization algorithm (MCEM) is used to obtain the maximum‐likelihood estimate of the model parameters, and measures for influence analysis on the basis of the conditional expectation of the complete data log likelihood at the E‐step of the MCEM algorithm are then obtained. Very little additional computation is needed to compute the influence measures, because it is possible to make use of the by‐products of the estimation procedure. Influence measures that are based on several typical perturbation schemes are discussed in detail, and the proposed method is illustrated with two real examples and an artificial example.     

The Rationality of Ultimate Concern: Moral Exemplars,Theological Ethics,and the Science of Moral Cognition

This paper argues that consideration of moral exemplars may provide a means for integrating insights across philosophical ethics, theological ethics, and the scientific study of moral cognition. Key to this endeavor is an understanding of the relation of cognition and emotion in ethical decision-making, a relation that is usually understood to be oppositional but which in proper circumstances may be understood to be quite the opposite. Indeed, a distinctive feature of moral exemplarity may consist in the ability to properly integrate the emotions into the moral life, and reference to and imitation of exemplars may involve a referencing and imitating of the emotions of the exemplar.     

Parental communication appears not to be an effective strategy to reduce smoking in a sample of Dutch adolescents

This longitudinal study examined the reciprocal effects of the frequency of parent–adolescent communication on tobacco-related issues (smoking-specific communication), and adolescents’ smoking. Participants were 428 Dutch older and younger siblings between 13 and 16 years old. Smoking-specific communication did not affect youth smoking in general; however, among younger, but not older, siblings, smoking-specific communication was associated with a higher likelihood of smoking over time. In addition, when adolescents already smoked parents started to talk more frequently about smoking-related issues with their older and younger adolescents later on. Neither the quality of smoking-specific communication, the quality of parent–adolescent relationship, nor parental smoking moderated these reciprocal effects. In conclusion, prevention campaigns encouraging parents to undertake smoking-specific communication might not be desirable.     

A Meta-Analysis of the Impact of Situationally Induced Achievement Goals on Task Performance

The purpose of this research was to meta-analyze studies which experimentally induced an achievement goal state to examine its causal effect on the individual’s performance at the task at hand, and to investigate the moderator effects of feedback anticipation and time pressure. The data set comprised 19 papers, 79 individual effect sizes, and 3,482 participants. Performance measures represented task performance across a variety of tasks. The findings indicate that relative to avoidance goals (either performance-avoidance goals or mastery-avoidance goals), approach goals (either mastery-approach goals or performance-approach goals) enhance task performance. Furthermore, relative to performance-approach goals, mastery-approach goals lead to better performance, particularly when individuals do not anticipate feedback and when there is no time pressure. Implications and future directions for research are discussed.     

Capturing the Structure of Distinct Types of Individual Differences in the Situation‐specific Experience of Emotions: The Case of Anger

The aim of this paper was to understand why some people experience certain emotions in a specific situation, whereas others do not. We postulate that these individual differences arise from individual differences in two underlying processes of emotion elicitation: (i) individual differences in the emotion components (appraisals and action tendencies) that situations activate in a person and (ii) individual differences in how these emotion components are related to subjective emotional experience. In this paper, we re‐analysed data from two studies on anger to capture the structure of these two types of individual differences by using clustering modelling techniques. Consistent results across the two studies demonstrated that individuals differ in anger because they (i) differ in how easy they experience anger‐relevant appraisals (Studies 1 and 2) and action tendencies (Study 2) in increasingly negative situations and (ii) differ in which of these components are necessary to experience anger. Copyright © 2011 John Wiley & Sons, Ltd.     

Confucian dynamism work values and team performance: A multiple‐level analysis

In this study we clarified the multiple‐level effects of Confucian‐related work values, including self‐discipline and interpersonal ethics, on the performance of individuals and the team. Empirical data of 70 work teams with 472 team members from Taiwanese enterprises were collected to test our hypotheses. Results showed that, at the group level, shared team values of interpersonal ethics were positively related to team performance through the partial mediation of team cooperation. For cross‐level effect, shared team values of interpersonal ethics and individual member's self‐discipline values were both positively related to individual performance. The implications of Confucian dynamism work values on contemporary organizational management and indigenous Chinese team theories were provided.     

Longitudinal study of low and high achievers in early mathematics

Background. Longitudinal studies allow us to identify, which specific maths skills are weak in young children, and whether there is a continuing weakness in these areas throughout their school years. Aims. This 2‐year study investigated whether certain socio‐demographic variables affect early mathematical competency in children aged 5–7 years. Sample. A randomly selected sample of 127 students (64 female; 63 male) participated. At the start of the study, the students were approximately 5 years old (M= 5.2; SD= 0.28; range = 4.5–5.8). Method . The students were assessed using the Early Numeracy Test and then allocated to a high (n= 26), middle (n= 76), or low (n= 25) achievers group. The same children were assessed again with the Early Numeracy Test at 6 and 7 years old, respectively. Eight socio‐demographic characteristics were also evaluated: family model, education of the parent(s), job of the parent(s), number of family members, birth order, number of computers at home, frequency of teacher visits, and hours watching television. Results . Early Numeracy Test scores were more consistent for the high‐achievers group than for the low‐achievers group. Approximately 5.5% of low achievers obtained low scores throughout the study. A link between specific socio‐demographic characteristics and early achievement in mathematics was only found for number of computers at home. Conclusions . The level of mathematical ability among students aged 5–7 years remains relatively stable regardless of the initial level of achievement. However, early screening for mathematics learning disabilities could be useful in helping low‐achieving students overcome learning obstacles.