Decision Support System and Multi‐Criteria Decision Aid: A State of the Art and Perspectives

The aim of this paper is to highlight the role of the Decision Support System within the field of multi‐criteria decision aid (MCDA). The MCDA tools have been incorporated into systems to create Multi‐Criteria Decision Support Systems (MCDSSs). In our literature review, we noticed that more than 100 papers have been written over a 20‐year period in which MCDSS was used as a decision‐making tool. The present paper describes some real applications of MCDSS in different fields, harmoniously combined with decision‐making methods such as analytic hierarchy process, Utility Additive, and Goal Programming. The present study proposes an integrative MCDSS evaluation through guidance on the tools most useful for a specific user with a particular decision problem. Copyright © 2014 John Wiley & Sons, Ltd.     

Expectations in Romantic Relations and Psychological Well-Being of Adolescents in Pakistan: Moderating Role of Parental Support

The objective of the current study was to investigate the role of perceived parental support as a moderator in the association between adolescents’ expectations in romantic relations and their psychological well-being. The sample consisted of 647 adolescents (boys = 285, girls = 362). Their age ranged from 16 to 18 years (M = 17.19 years, SD = .77) and they were regular students in different colleges of Islamabad and Rawalpindi. They completed the Perceived Parental Support Scale, the Well-being Questionnaire-W-BQ12 and the Romantic Relations Scale for Adolescents. The results showed that there were significant gender differences on expectations in romantic relations and psychological well-being with girls scoring higher than boys on expectations in romantic relations while boys scoring higher than girls on psychological well-being. The results also indicated that there was a significant negative association between expectations in romantic relations and psychological well-being. Findings of the moderation analysis showed that perceived parental support moderated the association. Simple slope analysis indicated that there was a significant negative slope for low and medium levels of perceived parental support while the slope was non-significant for high levels of perceived parental support. These results indicated that perceived parental support counters the negative effect of expectations in romantic relations on psychological well-being during adolescence. It is suggested that perceived parental support is important in planning interventions to improve the well-being of adolescents.     

Category variability, exemplar similarity, and perceptual classification

Experiments were conducted in which observers learned to classify simple perceptual stimuli into low-variability and high-variability categories. Similarities between objects were measured in independent psychological-scaling tasks. The results showed that observers classified transfer stimuli into the high-variability categories with greater probability than was predicted by a baseline version of an exemplar-similarity model. Qualitative evidence for the role of category variability on perceptual classification, which could not be explained in terms of the baseline exemplar-similarity model, was obtained as well. Possible accounts of the effects of category variability are considered in the General Discussion section.     

The empirical link between relationship marketing tools and consumer retention in retail marketing

This article focuses on the key relationship marketing tools of customer service, loyalty/rewards programs, brand/store community, personalization and customization, and their relationship with customer retention. The relationship between customer service, loyalty/rewards programs, customization, personalization, brand/store community and customer retention were examined via an empirical investigation of 450 loyalty/reward program members of three retail stores in Malaysia. The administration of the survey was personally administered but self‐completed. Four of the five relationship marketing tools, namely, customer service, loyalty/rewards programs, brand/store community and personalization, had a significant positive relationship with customer retention. The findings provided valuable insights into the loyalty program management practices of retail stores in a developing country context. Copyright © 2013 John Wiley & Sons, Ltd.     

Factors Contributing to Depression during Peri Menopause: Findings of a Pakistani Sample

The present study aimed to identify the role of different factors in menopausal depression in Pakistani women. We hypothesized that physical activity, regular exercise, social support, and attitudes towards aging and menopause would predict menopausal depression in women going through perimenopause. The sample consisted of 110 women (M _age = 47.93 years) going through natural perimenopause. The Menopausal Symptoms Scale (Nadeem and Khalid 2012) and Social Support Questionnaire (Sarason et al. 1987) were administered along with a demographic questionnaire. Multiple regression analysis was conducted to analyze the data. The results showed that higher physical activity level, satisfactory relationships with husband, and availability of social support significantly predicted lower menopause-related depression. However, satisfaction with social support did not significantly predict menopausal depression. We also observed that positive attitude towards aging and menopause was significantly correlated with decreased menopausal depression. The implications for the need to promote awareness among health professionals and the general population about menopausal symptoms in Pakistani women to improve their quality of life are discussed.     

Social influence modulates the neural computation of value

Social influence--individuals' tendency to conform to the beliefs and attitudes of others--has interested psychologists for decades. However, it has traditionally been difficult to distinguish true modification of attitudes from mere public compliance with social norms; this study addressed this challenge using functional neuroimaging. Participants rated the attractiveness of faces and subsequently learned how their peers ostensibly rated each face. Participants were then scanned using functional MRI while they rated each face a second time. The second ratings were influenced by social norms: Participants changed their ratings to conform to those of their peers. This social influence was accompanied by modulated engagement of two brain regions associated with coding subjective value--the nucleus accumbens and orbitofrontal cortex--a finding suggesting that exposure to social norms affected participants' neural representations of value assigned to stimuli. These findings document the utility of neuroimaging to demonstrate the private acceptance of social norms.     

It takes two: the interpersonal nature of empathic accuracy

Although current theories suggest that affective empathy (perceivers' experience of social targets' emotions) should contribute to empathic accuracy (perceivers' ability to accurately assess targets' emotions), extant research has failed to consistently demonstrate a correspondence between them. We reasoned that prior null findings may be attributable to a failure to account for the fundamentally interpersonal nature of empathy, and tested the prediction that empathic accuracy may depend on both targets' tendency to express emotion and perceivers' tendency to empathically share that emotion. Using a continuous affect-rating paradigm, we found that perceivers' trait affective empathy was unrelated to empathic accuracy unless targets' trait expressivity was taken into account: Perceivers' trait affective empathy predicted accuracy only for expressive targets. These data suggest that perceivers' self-reported affective empathy can indeed predict their empathic accuracy, but only when targets' expressivity allows their thoughts and feelings to be read.     

Bayesian inference for psychology. Part II: Example applications with JASP

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.     

Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications

Bayesian parameter estimation and Bayesian hypothesis testing present attractive alternatives to classical inference using confidence intervals and p values. In part I of this series we outline ten prominent advantages of the Bayesian approach. Many of these advantages translate to concrete opportunities for pragmatic researchers. For instance, Bayesian hypothesis testing allows researchers to quantify evidence and monitor its progression as data come in, without needing to know the intention with which the data were collected. We end by countering several objections to Bayesian hypothesis testing. Part II of this series discusses JASP, a free and open source software program that makes it easy to conduct Bayesian estimation and testing for a range of popular statistical scenarios (Wagenmakers et al. this issue).