Can Implicit Associations Distinguish True and False Eyewitness Memory? Development and Preliminary Testing of the IATe

Eyewitness identification has been shown to be fallible and prone to false memory. In this study we develop and test a new method to probe the mechanisms involved in the formation of false memories in this area, and determine whether a particular memory is likely to be true or false. We created a seven‐step procedure based on the Implicit Association Test to gauge implicit biases in eyewitness identification (the IATe). We show that identification errors may result from unconscious bias caused by implicit associations evoked by a given face. We also show that implicit associations between negative attributions such as guilt and eyewitnesses' final pick from a line‐up can help to distinguish between true and false memory (especially where the witness has been subject to the suggestive nature of a prior blank line‐up). Specifically, the more a witness implicitly associates an individual face with a particular crime, the more likely it is that a memory they have for that person committing the crime is false. These findings are consistent with existing findings in the memory and neuroscience literature showing that false memories can be caused by implicit associations that are outside conscious awareness. Copyright © 2017 John Wiley & Sons, Ltd.     

An Examination of the Relationship Between the Work–School Interface,Job Satisfaction,and Job Performance

Purpose

This study provides a comprehensive examination of how the work–school interface relates to work outcomes such as task performance and job satisfaction. Additionally, this study builds upon past research by examining a range of work- and school-related resources and demands that collectively influence the work–school interface.

Design/Methodology/Approach

Data were obtained from 170 working undergraduate students at multiple time points over the course of a semester, as well as from participants’ supervisors at the organizations in which the students work.

Findings

The strongest antecedent of job satisfaction, interpersonal facilitation, and job performance was work–school facilitation. Demands in one role create pressures in the other. Contrary to expectations, job demands positively related to work–school facilitation, while school demands positively related to school–work facilitation.

Implications

For practitioners, this study highlights the need to better understand the interplay between school and work roles for employees at a time when continuing education is emphasized. Employers benefit from the performance gains and positive attitudinal shifts that stem from experiences of facilitation between roles. From a theoretical perspective, this study reveals a unique pattern of results that adds to our understanding of the dynamics involved in the integrated work–school routines of working students.

Originality/Value

This is one of the first studies to investigate the relationships between four bi-directional forms of the work–school interface and subsequent multi-source assessments of organizational outcomes. As such, it offers an examination of how conflict and facilitation from both the work and school domains relate to work outcomes.

     

The consequences of job crafting: a three-wave study

This longitudinal study examined the consequences of job crafting on two important employee outcomes: psychological capital (PsyCap) as a work-related personal resource and work engagement as an indicator of employee well-being. The study also tested the reverse causation effects of PsyCap and work engagement on job crafting. It used a three-wave, three-month panel design to survey 940 employees from three European countries working in a broad range of economic sectors and occupations. The results of the cross-lagged longitudinal structural equation modelling demonstrated that job crafting predicted PsyCap and work engagement over time. No reverse causation effects were found. Overall, this study shows that when individuals proactively build a resourceful and challenging work environment for themselves, it can lead to diverse positive outcomes that are crucial to employee health and well-being. Employees should therefore be encouraged and be given the opportunity to craft their own jobs.     

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.