反馈时间、反馈类型和掩蔽类型对概率类别学习的影响

通过操纵反馈时间(即时,延迟)、反馈类型(简单,丰富)和掩蔽类型(塔罗牌,空白矩形),考察概率类别学习的学习机制。结果发现:(1)被试的学习成绩在即时反馈条件下显著优于在延迟反馈条件下;(2)在即时反馈条件下,仅给予简单反馈,被试虽能出色地完成天气预报任务,但是不能正确地判断卡片预测晴天的概率,倾向内隐学习;(3)在其他条件下,被试能正确地判断卡片预测晴天的概率以及各卡片在天气预报任务中预测天气的重要程度,表明被试能外显地意识到这些线索的作用。综上,概率类别学习采用的是双系统学习机制,既依赖内隐学习,又依赖外显学习。     

Comparing What to What,on What Scale? The Impact of Item Comparisons and Reference Points in Communicating Risk and Uncertainty

The mandated public availability of individual hospital's audit data for children's heart surgery in the UK creates a challenging scenario for communicating these complex and sensitive data to diverse audiences. On the basis of this scenario, we conducted three experiments with the aim of understanding how best to help lay people understand these data and the practical goal of improving the public presentation of these data. The experiments compared different outcome measures for displaying the survival rate (percentage scale versus the ratio of the predicted/observed rates) and presentation formats (individual hospital versus all hospitals shown) for outcomes data presented relative to prediction intervals generated by a risk model that adjusts for case mix. Our data highlight how easily inappropriate comparisons can influence evaluations of complex data: for instance, both a survival ratio of 1 and the presence of other hospitals seemingly provided reference points that resulted in inappropriately harsh evaluations of some hospitals. By drawing on evaluability theory, we demonstrate how to enhance people's understanding of these complex data while also discouraging inappropriate comparisons, which has implications for communicating risk and uncertainty and for choice architecture design in a range of contexts. Copyright © 2018 John Wiley & Sons, Ltd.     

What kind of kind is intelligence?

The model of human intelligence that is most widely adopted derives from psychometrics and behavioral genetics. This standard approach conceives intelligence as a general cognitive ability that is genetically highly heritable and describable using quantitative traits analysis. The paper analyzes intelligence within the debate on natural kinds and contends that the general intelligence conceptualization does not carve psychological nature at its joints. Moreover, I argue that this model assumes an essentialist perspective. As an alternative, I consider an HPC theory of intelligence and evaluate how it deals with essentialism and with intuitions coming from cognitive science. Finally, I highlight some concerns about the HPC model as well, and conclude by suggesting that it is unnecessary to treat intelligence as a kind in any sense.     

Examining the factor structure of narrative meaning-making for stressful events and relations with psychological distress

This study examined the underlying factor structure of 15 narrative meaning-making indices for narratives of stressful events, and explored the incremental validity of the narrative factor solution over and above general personality traits in predicting various indices of psychological well-being. Two-hundred and twenty four undergraduates (M_age?=?19.2 years, SD_age?=?2.1; 114 males and 110 females; 67.6% Caucasian, 12.0% East Asian, 7.6% African-American, 4.0% South Asian, 2.2% Hispanic, and 6.7% as mixed or Other origin) wrote about the most traumatic experience in their life, and completed a series of psychological questionnaires. The narratives were coded in 15 ways theoretically derived from the narrative meaning-making literature. A series of exploratory structural equation models indicated that a four-factor solution best approximated the data. The four factors were: positive processing, negative processing, integrative meaning, and structure. All four factors related differentially to indices of well-being over and above traits. There appear to be four distinct, but related, factors of narrative meaning-making for memories of stressful events, which shed light on the nuanced relations with well-being.     

Dimensionality of stress experiences: Factorial structure of the Perceived Stress Questionnaire (PSQ) in a population‐based Swedish sample

We investigated the factorial structure of the Perceived Stress Questionnaire (PSQ‐recent; Levenstein, Prantera, Varvo et al., 1993) in a large (N = 1516; 35–95 years) population‐based Swedish sample (Nilsson, Adolfsson, Bäckman et al., 2004; Nilsson, Bäckman, Erngrund et al., 1997). Exploratory principal components analysis (PCA) was conducted on a first, randomly drawn subsample (n = 506). Next, the model based on the PCA was tested in a second sample (n = 505). Finally, a third sample (n = 505) was used to cross‐validate the model. Five components were extracted in the PCA (eigenvalue > 1) and labeled “Demands,” “Worries/Tension,” “Lack of joy,” “Conflict,” and “Fatigue,” respectively. Twenty‐one out of the 30 original PSQ items were retained in a confirmatory factor analysis (CFA) model that included the five (first‐order) factors and, additionally, a general (second‐order) stress factor, not considered in prior models. The model showed reasonable goodness of fit [χ²(184) = 511.2, p < 0.001; CFI = 0.904; RMSEA = 0.059; and SRMR = 0.063]. Multigroup confirmatory factor analyses supported the validity of the established model. The results are discussed in relation to prior investigations of the factorial structure of the PSQ.     

Anxiety symptom interpretation and performance expectations in high-anxious,low-anxious,defensive high-anxious and repressor individuals

To date, no research has investigated score predictions and anxiety interpretation in high-anxious, low-anxious, defensive high-anxious and repressor individuals. This study examined Eysenck’s (1997) predictions for cognitive biases on future performance expectations in all four groups. This study was conducted in an ecologically-valid sporting environment. Competitive shooters completed the Marlowe–Crowne Social Desirability Scale and the Sport Anxiety Scale prior to a major competition. Percentile splits identified the four defensiveness/anxiety groups. The modified Competitive Sport Anxiety Inventory-2 was used to assess the intensity and direction of anxiety prior to competition. Participants predicted their expected shooting score. The hypothesis that repressors would interpret their anxiety as more facilitative to performance compared to low-anxious individuals was partially supported. Repressors were more optimistic in their performance prediction in contrast to defensive high-anxious performers who, in turn, were more pessimistic compared to the other two groupings. High-anxious performers, contrary to predictions, demonstrated optimism in their future performance. The findings of this study corroborate the theoretical predictions and the evidence from previous studies with sport performers. Future research should continue to investigate the influence of cognitive biases on performance predictions in sporting environments using Weinberger et al.’s classifications.     

The bifactor structure and the “dark nomological network” of the State Self-Esteem Scale

The State Self-Esteem Scale (SSES) measures transient feelings of self-worth. The SSES has been hypothesized to possess a number of latent structures, ranging from one to three factors. The present study compared these putative structures along with a newly hypothesized bifactor structure (i.e., one global factor, three subfactors). Results offered greatest support for the bifactor model. A secondary goal was to further assess the nomological network surrounding state self-esteem by examining correlations involving an expanded measure of basic personality (i.e., the HEXACO), Dark Triad traits, and sexual attitudes and behaviors. In general, these correlations were consistent with the theoretical portrait of state self-esteem and were also consistent with correlations involving trait-level self-esteem. Most notably, however, scores on the SSES consistently correlated negatively with measures of the Dark Triad traits, suggesting a possible theoretical distinction between state- and trait-level self-esteem.     

Measurement invariance of the Satisfaction With Life Scale (SWLS) by gender and age in Angola

Subjective well-being is a research arena that has grown almost exponentially: over the last 20 years, the number of publications on subjective well-being has increased approximately 16-fold (Diener, 2009). The cognitive aspect of subjective well-being or life satisfaction is referred to a conscious cognitive judgment of life (Diener, Emmons, Larsen, & Griffin 1985), in which person’s quality of life is globally assessed (Shin & Johnson, 1978). The Satisfaction With Life Scale (SWLS, Diener et al., 1985) is the most widely used instrument for its measurement. A reliable, valid and invariant measurement is critical for meaningful comparisons. The aim of this study is to examine the configural, metric and scalar invariance across age in the Portuguese version of the SWLS with a sample of 5630 Angolans. A standard measurement invariance procedure has been applied both across gender and age. Results shown that scalar invariance of the SWLS held across gender and age. This strong invariance allowed for meaningful latent mean comparisons. There were latent mean differences due to gender and age, but while gender differences were modest, the age differences were larger. Results are discussed in their relation with existing literature.     

Psychometric Evaluation of the Career Decision Scale With Iranian Undergraduate Students

The authors examined the reliability and construct validity of the Career Decision Scale (Osipow, Carney, & Barak, 1976 ) with 1,610 freshman and sophomore students from public universities from a southwestern state in Iran. A Cronbach's alpha of .80 provided strong support for the scale's reliability. Exploratory factor analysis results indicated a 2‐factor model (Diffusion and Internal/External Barriers) of the scale with Iranian students, which was confirmed by confirmatory factor analysis. Implications and recommendations for further research are discussed.     

What Goes Up Apparently Needn't Come Down: Asymmetric Predictions of Ascent and Descent in Rankings

In eight studies, we document an upward mobility bias, or a tendency to predict that a rise in rankings is more likely than a decline. This asymmetry was observed in predictions of classroom performance, NBA and NFL standings, business school rankings, and employee performance rankings. The bias was found for entities people care about and want to see improve their standing, as well as entities in which people are not invested. It appears to result from people's tendency to give considerable weight to a focal agent's intentions and motivation, but to give less weight to the intentions of competitors and other factors that would thwart the focal agent's improvement. We show that this bias is most pronounced for implicit incremental theorists, who believe that performance is malleable (and hence assign more weight to intentions and effort). We discuss implications of this asymmetry for decision making and for an understanding of the underdog bias. Copyright © 2015 John Wiley & Sons, Ltd.