Lassoing Skill Through Learner Choice

The authors examined several issues related to the motor learning benefits resulting from giving learners choices. In 2 experiments, participants practiced a novel task, throwing a lasso. In Experiment 1, giving learners a choice ostensibly irrelevant to performance (color of mat under target) resulted in enhanced learning relative to a control group. The choice group also reported more positive affect. Experiment 2 compared the effectiveness of task-irrelevant (mat color) versus task-relevant (video demonstrations of the skill) choices. In both choice groups, each participant was yoked to a participant in the other group, and each received the same mat color or saw the video demonstration, respectively, as chosen by their counterpart in the other group. In the control group, participants were yoked to their respective counterparts in each of the choice groups. On a retention test, the 2 choice groups did not differ from each other, but both outperformed the control group. The affective and learning effects seen when learners are given choices, and the fact that task-relevant and task-irrelevant choices resulted in similar learning benefits, are consistent with a content-neutral mechanism for the effects of choice on learning, as described in the OPTIMAL theory of motor learning (Wulf &; Lewthwaite, 2016 Wulf, G., &; Lewthwaite, R. (2016). Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning. Psychonomic Bulletin &; Review, 23, 1382–1414. https://doi.org/10.3758/s13423-015-0999-9.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]).     

Bayesian Latent Class Analysis Tutorial

This article is a how-to guide on Bayesian computation using Gibbs sampling, demonstrated in the context of Latent Class Analysis (LCA). It is written for students in quantitative psychology or related fields who have a working knowledge of Bayes Theorem and conditional probability and have experience in writing computer programs in the statistical language R. The overall goals are to provide an accessible and self-contained tutorial, along with a practical computation tool. We begin with how Bayesian computation is typically described in academic articles. Technical difficulties are addressed by a hypothetical, worked-out example. We show how Bayesian computation can be broken down into a series of simpler calculations, which can then be assembled together to complete a computationally more complex model. The details are described much more explicitly than what is typically available in elementary introductions to Bayesian modeling so that readers are not overwhelmed by the mathematics. Moreover, the provided computer program shows how Bayesian LCA can be implemented with relative ease. The computer program is then applied in a large, real-world data set and explained line-by-line. We outline the general steps in how to extend these considerations to other methodological applications. We conclude with suggestions for further readings.     

Kill or cure? Different types of social class identification amplify and buffer the relation between social class and mental health

The present research investigated different types of social class identification as moderators of the negative relation between social class and mental health problems. Psychology undergraduates (N = 355) completed an online survey that included measures of social class, mental health and well-being, and three aspects of social class identification: importance of identity, salience of identity, and perceived self-class similarity. Perceived self-class similarity buffered the negative association between social class and depressive symptoms. However, importance and salience of social class identity amplified the associations between social class and anxiety and life satisfaction. These findings contribute to a more sophisticated understanding of the way in which social identification may operate as a social cure.     

To be kind or not to be kind: The moderating role of self-compassion in the relationship between general resourcefulness and academic self-regulation

We investigated whether the relationship between students’ general resourcefulness and academic self-regulation changes as a function of self-compassion. A predominantly female sample of 196 undergraduates completed inventories assessing these and other measures. The significant moderating effect of self-compassion revealed that the positive relationship between general resourcefulness and academic self-regulation was stronger for participants scoring low in self-compassion than high in self-compassion. For those low in self-compassion, scoring low in general resourcefulness was associated with the lowest academic self-regulation, whereas scoring high in general resourcefulness was associated with the greatest academic self-regulation. The positive relationship between general and academic self-regulation was attenuated for participants high in self-compassion, with predicted scores for academic self-regulation falling in between the two values described for the low self-compassion function. Implications of the findings are discussed, including the potential value of incorporating self-compassion training alongside programs aimed at increasing general resourcefulness and academic self-regulation.     

Acceptance of Uncommon Information into Group Discussion When That Information Is or Is Not Demonstrable

Research on group problem solving and on social cognition suggests that, during group discussion of a decision-making task, member acceptance of an unknown fact will be affected by the demonstrability of a fact's existence and the familiarity of the decision topic. Four-person groups read and discussed facts about a familiar or unfamiliar issue. Some groups could obtain written fact summaries during discussion, while the others could not. We predicted and found a three-way interaction between demonstrability, familiarity, and number of advocates. Verifiable single-advocate facts were accepted into discussion, but unverifiable facts required two advocates. These effects were more pronounced when the topic was familiar. Regression analysis of the influence of individual items on group choice revealed that, for the unfamiliar topic, the number of advocates of an item was directly related to that item's degree of influence only when the item could not be verified. Verifiable single-advocate facts were as influential as any other verifiable fact.     

Facial expressivity to acute pain in cocaine-exposed toddlers

Expressive emotion regulation in response to stress following inoculation was examined in 30 18-month-olds. Fourteen were exposed to cocaine in utero and 16 were drug-free. Findings indicated that the cocaine-exposed group displayed fewer discrete negative expressions of distress and anger and more sadness in response to acute pain. These results suggest that cocaine exposure may exert an influence on the expression of emotion into the second year of life. © 1997 Michigan Association for Infant Mental Health     

Sexual Harassment in the Workplace: Exploring the Effects of Attractiveness on Perception of Harassment

This study was designed to explore the effect of attractiveness on perceptions of sexual harassment. Male and female college students (N = 150) rated four scenarios depicting ambiguous incidents of sexual harassment, each paired with photos of a male boss and a female secretary. Male and female attractiveness was varied in a 2 × 2 factorial design. Participants were asked to rate each photo on a series of traits before making harassment judgments. Overall, females perceived more harassment. The behavior of attractive males was less likely to be seen as harassing. Attractive females were more likely to be seen as harassed, especially when the potential harasser was unattractive. The possible mechanisms underlying the effects of attractiveness were explored with the results supporting a direct effect of stereotypes over a mediating role for implicit personality theories.