Effects of Visual Representation on Social Influence in Computer‐Mediated Communication

Two experiments investigated if and how visual representation of interactants affects depersonalization and conformity to group norms in anonymous computer‐mediated communication (CMC). In Experiment 1, a 2 (intergroup versus interpersonal) × 2 (same character versus different character) between‐subjects design experiment (N= 60), each participant made a decision about social dilemmas after seeing two other (ostensible) participants’ unanimous opinions and then exchanged supporting arguments. Consistent with the Social Identity model of Deindividuation Effects (SIDE), when the group level of self‐identity was rendered salient in an intergroup encounter, uniform virtual appearance of CMC partners triggered depersonalization and subsequent conformity behavior. By contrast, when the personal dimension of the self was salient, standardized representation tended to reduce conformity. To elucidate the mediation process, Experiment 2 investigated the causal links between depersonalization, group identification, and conformity. The results show that depersonalization accentuated adherence to group norms, both directly and indirectly via group identification.     

Awe and guilt: Desirability and feasibility appeals in social media green campaigns

As the world has become increasingly concerned about environmental plastic pollution, private and public sectors remain devoted to creating effective green marketing campaigns on social media platforms. Drawing upon construal level theory and appraisal tendency theory, this research examines the interaction effect of green ad appeals and two distinct emotions—awe and guilt—on consumers' social media engagement and pro-environmental intentions. The findings from two experimental studies demonstrate that when individuals experience awe, desirability (vs. feasibility) message appeals generate stronger engagement in social media green campaigns. In contrast, it was found that when individuals experience guilt, feasibility (vs. desirability) message appeals enhance social media engagement and pro-environmental behaviors more effectively. This research offers novel theoretical contributions to the existing body of literature and provides practical insights by suggesting that awe and guilt act as moderators leading to greater consumer responses when used with matching social media messages promoting green campaigns.     

Psychometric and Validity Issues in Machine Learning Approaches to Personality Assessment: A Focus on Social Media Text Mining

In the age of big data, substantial research is now moving toward using digital footprints like social media text data to assess personality. Nevertheless, there are concerns and questions regarding the psychometric and validity evidence of such approaches. We seek to address this issue by focusing on social media text data and (i) conducting a review of psychometric validation efforts in social media text mining (SMTM) for personality assessment and discussing additional work that needs to be done; (ii) considering additional validity issues from the standpoint of reference (i.e. ‘ground truth’) and causality (i.e. how personality determines variations in scores derived from SMTM); and (iii) discussing the unique issues of generalizability when validating SMTM for personality assessment across different social media platforms and populations. In doing so, we explicate the key validity and validation issues that need to be considered as a field to advance SMTM for personality assessment, and, more generally, machine learning personality assessment methods. © 2020 European Association of Personality Psychology     

Auditory‐motor adaptation is reduced in adults who stutter but not in children who stutter

Previous studies have shown that adults who stutter produce smaller corrective motor responses to compensate for unexpected auditory perturbations in comparison to adults who do not stutter, suggesting that stuttering may be associated with deficits in integration of auditory feedback for online speech monitoring. In this study, we examined whether stuttering is also associated with deficiencies in integrating and using discrepancies between expected and received auditory feedback to adaptively update motor programs for accurate speech production. Using a sensorimotor adaptation paradigm, we measured adaptive speech responses to auditory formant frequency perturbations in adults and children who stutter and their matched nonstuttering controls. We found that the magnitude of the speech adaptive response for children who stutter did not differ from that of fluent children. However, the adaptation magnitude of adults who stutter in response to auditory perturbation was significantly smaller than the adaptation magnitude of adults who do not stutter. Together these results indicate that stuttering is associated with deficits in integrating discrepancies between predicted and received auditory feedback to calibrate the speech production system in adults but not children. This auditory‐motor integration deficit thus appears to be a compensatory effect that develops over years of stuttering.     

Specificity Matters: Criterion-Related Validity of Contextualized and Facet Measures of Conscientiousness in Predicting College Student Performance

To enhance the predictive validity of self-report personality measures, 2 distinct ways of increasing specificity of personality measures have been proposed in the literature—contextual specificity (i.e., providing a contextual referent) and content specificity (i.e., focusing on more specific constructs such as the Big Five facets). This study extends this line of research by examining whether there is an optimal way to configure, align, or integrate contextual and content specificity using measures of conscientiousness to predict college student success. A sample of 478 undergraduate students completed 4 measures of conscientiousness that varied in the level of content and contextual specificity. These forms of specificity were crossed to yield 4 distinct measures of conscientiousness. We then evaluated and compared the relative importance and the incremental importance of these different measures in the prediction of academic success. Superior predictive validity was found for both contextualized and facet measures of conscientiousness compared to a measure of global conscientiousness in predicting grade-point average and a broader behavioral criterion of student performance. When contextual and content specificity approaches were compared and combined, we observed the strongest predictive validity when the level of specificity is appropriately matched between predictor and criterion.     

Multilevel models for multiple-baseline data: modeling across-participant variation in autocorrelation and residual variance

Multilevel models (MLM) have been used as a method for analyzing multiple-baseline single-case data. However, some concerns can be raised because the models that have been used assume that the Level-1 error covariance matrix is the same for all participants. The purpose of this study was to extend the application of MLM of single-case data in order to accommodate across-participant variation in the Level-1 residual variance and autocorrelation. This more general model was then used in the analysis of single-case data sets to illustrate the method, to estimate the degree to which the autocorrelation and residual variances differed across participants, and to examine whether inferences about treatment effects were sensitive to whether or not the Level-1 error covariance matrix was allowed to vary across participants. The results from the analyses of five published studies showed that when the Level-1 error covariance matrix was allowed to vary across participants, some relatively large differences in autocorrelation estimates and error variance estimates emerged. The changes in modeling the variance structure did not change the conclusions about which fixed effects were statistically significant in most of the studies, but there was one exception. The fit indices did not consistently support selecting either the more complex covariance structure, which allowed the covariance parameters to vary across participants, or the simpler covariance structure. Given the uncertainty in model specification that may arise when modeling single-case data, researchers should consider conducting sensitivity analyses to examine the degree to which their conclusions are sensitive to modeling choices.     

Why Koreans Are More Likely to Favor “Apology,” While Americans Are More Likely to Favor “Thank You”

Two studies investigated whether apologies or thanks are preferred in asking favors in the United States and Korea, and how this relates to perceptions of reduction in positive and negative face threats. In the first study (n = 224), participants composed an e‐mail message where a favor was asked. In the second (n = 807), participants completed questionnaires including a prototypical e‐mail for the situation described in Study 1, as well as measures of negative and positive face threats. Findings showed that (a) Koreans more frequently included apologies in favor‐asking messages, while Americans more frequently included thanks; and (b) Americans considered repeated thanks to reduce the threat to hearers' negative and positive face, but Koreans considered repeated apologies to reduce the threat to speakers' positive face.