Evaluations of relational aggression as a function of relationship type and conflict setting

The present study examined influences on girls' evaluations of relational aggression situations. Second‐, third‐, fifth‐, and sixth‐grade girls evaluated four relational aggression conflict scenarios in terms of attributions of aggressor's intentions, evaluator's behavioral response, evaluator's affective state, and how likely the situation was to actually occur. Girls evaluated intentions of a best friend more positively, reported being more mad at an enemy, and perceived conflict to be more likely to occur with an enemy than a best friend. Aggressor intentions in direct conflict scenarios (aggressor said something mean to evaluator) were perceived as more negative than aggressor intentions in indirect conflict scenarios (aggressor said something mean about evaluator to another peer). Younger girls reported intentions of their enemy as being more positive than did older girls. Further, older girls reported intentions of their best friend as being more positive than intentions of their enemy. Older girls also were more accurate in conceptualizing variations in the conflict setting (direct, indirect) and responding in a context‐consistent manner. Findings are discussed in terms of the social‐relational and social‐situational processes that influence children's evaluations of relational aggression and how the current study extends previous research on relational aggression. Aggr. Behav. 26:179–191, 2000. © 2000 Wiley‐Liss, Inc.     

Relationships between need for cognition, knowledge, and verbal ability

The authors investigated the relationships between need for cognition, knowledge, and verbal ability. Participants completed scales that measured their need for cognition, verbal ability, and knowledge about people and events that occurred during the Vietnam War era. Correlational analyses showed that the participants' need for cognition scores were modestly but positively correlated with verbal ability and knowledge and that verbal ability and knowledge were also positively correlated. The correlation between need for cognition and knowledge was small but significant when verbal ability was controlled. The conclusion drawn from these results is that need for cognition contributes to the acquisition of knowledge beyond the contribution of verbal ability.     

Order‐constrained linear optimization

Despite the fact that data and theories in the social, behavioural, and health sciences are often represented on an ordinal scale, there has been relatively little emphasis on modelling ordinal properties. The most common analytic framework used in psychological science is the general linear model, whose variants include ANOVA, MANOVA, and ordinary linear regression. While these methods are designed to provide the best fit to the metric properties of the data, they are not designed to maximally model ordinal properties. In this paper, we develop an order‐constrained linear least‐squares (OCLO) optimization algorithm that maximizes the linear least‐squares fit to the data conditional on maximizing the ordinal fit based on Kendall's τ. The algorithm builds on the maximum rank correlation estimator (Han, 1987, Journal of Econometrics, 35, 303) and the general monotone model (Dougherty & Thomas, 2012, Psychological Review, 119, 321). Analyses of simulated data indicate that when modelling data that adhere to the assumptions of ordinary least squares, OCLO shows minimal bias, little increase in variance, and almost no loss in out‐of‐sample predictive accuracy. In contrast, under conditions in which data include a small number of extreme scores (fat‐tailed distributions), OCLO shows less bias and variance, and substantially better out‐of‐sample predictive accuracy, even when the outliers are removed. We show that the advantages of OCLO over ordinary least squares in predicting new observations hold across a variety of scenarios in which researchers must decide to retain or eliminate extreme scores when fitting data.     

What Determines Perceived Quality-of-life Impact of Mobile Phones? A Model Based on the Consumption Life Cycle

This paper reports two studies designed to identify the determinants of perceived quality-of-life impact (PQOLI) of mobile phones. We hypothesized that PQOLI of mobile phones is determined by mostly global feelings of satisfaction with mobile phones, which in turn are determined by satisfaction with a broad range of customer-related experiences—experience with the purchase of the mobile phone and service, preparing the mobile phone for personal use, using the mobile phone, owning the mobile phone, maintenance and repairs of the mobile phone, and disposal of the mobile phone (stages in the consumption life cycle). “Study 1” focused testing the model using a college student population. “Study 2” was designed to replicate the findings of “Study 1” with a more mature and diverse consumer population and extend the model by demonstrating that PQOLI has a significant predictive influence on brand loyalty, thus underscoring the managerial utility of our model. The study results are supportive of our overall model and its hypotheses.