Multiple reference points in satisfaction and fairness assessment

Most studies of reference point effects have used a single referent, such as a price, a salary, or a target. There is considerable evidence that the judged fairness of, or satisfaction with, an outcome is significantly influenced by discrepancies from such single referents. In many settings, however, more than one reference point may be available, so the subject may be confronted simultaneously with some referents above, some at, and some below the focal outcome. Little is known about the simultaneous impact of such multiple reference points. We examine here the effects of two referents on ratings of salary satisfaction and fairness. Subjects were presented with a series of scenarios that described a salary offer made to a hypothetical MBA graduate and provided information about the salary offers made to either one or two other similar graduates. For each scenario, subjects judged how fair the focal graduate would feel the offer to be, and how satisfied he or she would be with it. Satisfaction ratings displayed asymmetric effects of comparisons: the pain associated with receiving a salary lower than another MBA is greater than the pleasure associated with a salary higher than the other student by the same amount. Fairness ratings showed a different pattern of asymmetric effects of discrepancies from the reference salaries: the focal graduate's salary was judged somewhat less fair when others received lower offers, and much less fair when others received higher offers. The asymmetric effects occurred for both reference points, suggesting that the focal salary was compared separately to each of the referents rather than to a single reference point formed by prior integration of the referents. Copyright © 2000 John Wiley & Sons, Ltd.     

A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences provide the opportunity to understand biological markers related to suicide, computer science provides opportunities to understand suicide thought markers. In this novel prospective, multimodal, multicenter, mixed demographic study, we used machine learning to measure and fuse two classes of suicidal thought markers: verbal and nonverbal. Machine learning algorithms were used with the subjects’ words and vocal characteristics to classify 379 subjects recruited from two academic medical centers and a rural community hospital into one of three groups: suicidal, mentally ill but not suicidal, or controls. By combining linguistic and acoustic characteristics, subjects could be classified into one of the three groups with up to 85% accuracy. The results provide insight into how advanced technology can be used for suicide assessment and prevention.     

Some Like It Mild and Not Too Wet: The Influence of Weather on Subjective Well-Being

More and more economists and politicians are advocating the use of comprehensive measures of well-being, on top of the usual national accounting measures, to assess the welfare of populations. Researchers using subjective well-being data should be aware of the potential biasing effects of the weather on their estimates. In this paper, the responsiveness of well-being to climate and transitory weather conditions is investigated by analyzing subjective well-being data collected in the Princeton Affect and Time Survey. General satisfaction questions about life in general, life at home, health and one’s job, as well as questions concerning feelings intensities during specific episodes are studied. Women are much more responsive than men to the weather, and life satisfaction decreases with the amount of rain on the day of the interview. Low temperatures increase happiness and reduce tiredness and stress, raising net affect, and high temperatures reduce happiness, consistent with the fact that the survey was conducted in the summer. Methods to reduce the possible biases are suggested in the conclusion.     

Cognitive Vulnerabilities as Predictors of Stress Generation in Early Adolescence: Pathway to Depressive Symptoms

Although individuals with depression have been found to experience a higher rate of stress in their lives, it remains unclear to what extent other personal characteristics may contribute to stress generation. The current study extended past research by examining the effects of two theoretically and empirically supported cognitive vulnerabilities to depression (negative cognitive style and rumination) as predictors of dependent interpersonal and achievement events, independent events, and relational peer victimization. In a diverse sample of 301 early adolescents (56 % female; M_age?=?12.82 years), we found that negative cognitive style prospectively predicted the experience of dependent interpersonal stress and relational victimization, and that rumination did not predict stress in any of the domains. Furthermore, the occurrence of intervening stress mediated the associations between negative cognitive style and subsequent depressive symptoms. Additionally, whereas negative cognitive style predicted relational victimization among both boys and girls, girls were particularly vulnerable to developing depressive symptoms following the occurrence of relational victimization. Thus, a negative cognitive style may contribute to the occurrence of stressful events, which in turn increases depressive symptoms. Girls may be particularly reactive to relational victimization, representing one pathway through which sex differences in depression may emerge.     

The genetic and environmental architecture to the stability of IQ: Results from two independent samples of kinship pairs

Existing research has revealed that IQ remains relatively stable over the life course, though questions remain about how stable IQ is and whether the stability of IQ varies across different developmental periods of the life course. Despite this stability, there are also questions surrounding the factors that might explain the stability of IQ. Against this backdrop, we conduct bivariate genetic models to estimate genetic, shared environmental, and nonshared environmental influences on the stability of IQ. To do so, we analyze kinship pairs drawn from two separate longitudinal samples: The National Collaborative Perinatal Project (CPP) and the National Longitudinal Study of Adolescent Health (Add Health). Across both samples, IQ was found to be relatively stable. Moreover, the genetic analyses revealed that between 66% and 83% of the stability in IQ was due to genetic factors and between 43% and 69% of the change in IQ was due to genetic factors. The remainder of the stability and change in IQ was the result of a combination of shared and nonshared environmental influences. Importantly, some substantive race differences emerged in respect to genetic and environmental influences on the stability of IQ. We conclude with a discussion of the limitations of the study and avenues for future research.     

The Convergent Validity between Self and Observer Ratings of Personality: A meta‐analytic review

The convergent validity between self and observer ratings of the Big Five dimensions of personality was examined by cumulating research findings across studies. The mean correlation corrected for coefficient α in self‐ratings and inter‐rater reliability in observer ratings was .46 for agreeableness (N=6359, k=53), .56 for conscientiousness (N=6754, k=58), .51 for emotional stability (N=8000, k=55), .62 for extraversion (N=7725, k=50), and .59 for openness to experience (N=5333, k=38). Results indicate that, although there is a high degree of construct overlap, both self and observer ratings have substantial unique variance. Moderator effects were analyzed. The duration of acquaintance (strangers vs close relatives) as well as observer type (peers at work vs relatives) were analyzed. Acquaintanceship had a large moderating effect whereas observer type did not moderate the level of convergence.     

Which Kantian Conceptualism (or Nonconceptualism)?

A recent debate in Kant scholarship concerns the role of concepts in Kant's theory of perception. Roughly, proponents of a conceptualist interpretation argue that for Kant, the possession of concepts is a prior condition for perception, while nonconceptualist interpreters deny this. The debate has two parts. One part concerns whether possessing empirical concepts is a prior condition for having empirical intuitions. A second part concerns whether Kant allows empirical intuitions without a priori concepts. Outside of Kant interpretation, the contemporary debate about conceptualism concerns whether perception requires empirical concepts. But, as I argue, the debate about whether Kant allows intuitions without empirical concepts does not show whether Kant is a conceptualist. Even if Kant allows intuitions without empirical concepts, it could still be that a priori concepts are required. While the debate could show that Kant is a conceptualist, I argue it does not. Finally, I sketch a novel way that the conceptualist interpreter might win the debate—roughly, by arguing that possessing a priori concepts is a prior condition for having appearances.