Redefining unforgiveness: Exploring victims’ experiences in the wake of unforgiven interpersonal transgressions

This study explored victims’ experiences in the aftermath of unforgiven offenses. Semi-structured interviews with 13 individuals discussing two unforgiven offenses revealed considerable variability in the experiences of unforgiveness, suggesting that unforgiveness may be more multifaceted than previously believed. In addition to the negative emotions and rumination previously posited to characterize unforgiveness, novel themes emerged describing unforgiving cognitions (e.g., the offense is unforgiveable) and construals of the offender. Participants varied along each dimension, resulting in a range of outcomes (e.g., forgiveness, lingering personal distress, finding peace without forgiving). Implications for conceptualizing unforgiveness and counseling those who struggle with unforgiven offenses are discussed.     

A Review of Best Practice Recommendations for Text Analysis in R (and a User-Friendly App)

In recent decades, the amount of text available for organizational science research has grown tremendously. Despite the availability of text and advances in text analysis methods, many of these techniques remain largely segmented by discipline. Moreover, there is an increasing number of open-source tools (R, Python) for text analysis, yet these tools are not easily taken advantage of by social science researchers who likely have limited programming knowledge and exposure to computational methods. In this article, we compare quantitative and qualitative text analysis methods used across social sciences. We describe basic terminology and the overlooked, but critically important, steps in pre-processing raw text (e.g., selection of stop words; stemming). Next, we provide an exploratory analysis of open-ended responses from a prototypical survey dataset using topic modeling with R. We provide a list of best practice recommendations for text analysis focused on (1) hypothesis and question formation, (2) design and data collection, (3) data pre-processing, and (4) topic modeling. We also discuss the creation of scale scores for more traditional correlation and regression analyses. All the data are available in an online repository for the interested reader to practice with, along with a reference list for additional reading, an R markdown file, and an open source interactive topic model tool (topicApp; see https://github.com/wesslen/topicApp, https://github.com/wesslen/text-analysis-org-science, https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/R4W7ZS).     

Two Puzzles Concerning Spinoza's Conception of Belief

Spinoza's account of belief entails that if A has two ideas, p and q, with incompatible content, A believes that p (and not that q) if the idea of p is stronger than the idea of q. This seems to leave little space for dominant non‐beliefs, or cases in which there is discord between one's beliefs and one's affective‐behavioral responses. And yet Spinoza does allow for two classes of dominant non‐beliefs: efficacious fictions [fictiones] and ideas that conduce to akrasia. I show how Spinoza can account for dominant non‐beliefs within his model of cognition by distinguishing between the doxastic and the affective powers of ideas and by suggesting that doxastic power is best understood diachronically. While other scholars have stressed the elegance of Spinoza's account of ideas, this paper highlights the sophistication and flexibility of his account.     

Letting Go: Conceptualizing Intervention De‐implementation in Public Health and Social Service Settings

The discontinuation of interventions that should be stopped, or de‐implementation, has emerged as a novel line of inquiry within dissemination and implementation science. As this area grows in human services research, like public health and social work, theory is needed to help guide scientific endeavors. Given the infancy of de‐implementation, this conceptual narrative provides a definition and criteria for determining if an intervention should be de‐implemented. We identify three criteria for identifying interventions appropriate for de‐implementation: (a) interventions that are not effective or harmful, (b) interventions that are not the most effective or efficient to provide, and (c) interventions that are no longer necessary. Detailed, well‐documented examples illustrate each of the criteria. We describe de‐implementation frameworks, but also demonstrate how other existing implementation frameworks might be applied to de‐implementation research as a supplement. Finally, we conclude with a discussion of de‐implementation in the context of other stages of implementation, like sustainability and adoption; next steps for de‐implementation research, especially identifying interventions appropriate for de‐implementation in a systematic manner; and highlight special ethical considerations to advance the field of de‐implementation research.     

Intergroup anxiety and political loss: The buffering effects of believing in the open marketplace of ideas and openness to diverse political discussions

The polarized divide in current U.S. politics continues to separate citizens and impede political decision‐making. Ameliorating this polarization may require addressing intergroup anxiety. The current work examines the buffering effect of endorsing the open marketplace of ideas and openness to engaging in political conversations with people who hold opposing political views on partisans' intergroup anxiety. In Study 1 (N = 319), openness to diverse political discussions negatively predicted postelection intergroup anxiety among Obama supporters in the 2012 U.S. election. Among Romney supporters, endorsement of the open marketplace and openness to diverse political discussions negatively predicted intergroup anxiety. Study 2 (N = 349 Democrats and Republicans), employed an experimental design and produced results consistent with Study 1. For Democrats and Republicans, openness to participating in political discussions characterized by multiple political perspectives was associated with reduced intergroup anxiety. Regardless of the threat of their candidate losing the 2016 election, Republicans (compared to Democrats) expressed reduced intergroup anxiety when endorsing the open marketplace of ideas and being open to engaging in diverse political discussions. Results are discussed in terms of contact theory within the context of the American political system.     

The Effectiveness of Collaborative/Therapeutic Assessment for Psychotherapy Consultation: A Pragmatic Replicated Single-Case Study

This pragmatic study evaluated the effectiveness of a collaborative assessment intervention as an approach to midtherapy consultation, which has yet to be empirically tested. Ten adult participants in ongoing psychotherapy with a variety of presenting concerns, primarily consisting of general mood and adjustment issues, received a brief assessment-based intervention based on Finn's (2007) Therapeutic Assessment model. Following the collection of assessment questions and the administration of a multimethod assessment battery, clients and therapists participated in a joint feedback session with the assessor. Clients were then followed as their psychotherapy continued. The results of idiographic and aggregate analytic approaches revealed significant reductions in client-reported symptomatic distress, as evidenced by a medium effect size (d = –.50) and a significant change in the trajectory of distress. Client reports of the process of psychotherapy revealed a significant increase in the clients’ ratings of the working alliance. The findings suggest that a midtherapy consultation using collaborative/therapeutic assessment methods is beneficial but that further rigorous investigation is needed.     

Choosing Your Words and Pictures Wisely: When Do Individuation Instructions Reduce the Cross‐Race Effect?

Recognition accuracy for faces of an individual's own race typically exceeds recognition accuracy for other‐race faces. The categorization–individuation model (Hugenberg, Young, Bernstein, & Sacco, 2010) attributes this cross‐race effect to motivation to encode distinctive features of own‐race faces but category defining features for other‐race faces. Two experiments using different stimuli tested hypotheses generated from this model with both Black and White participants. For White participants, instructions to individuate reduced the cross‐race effect in both studies but did not eliminate it in Study 1. Black participants did not exhibit the cross‐race effect in either study, but individuation instructions improved both their same‐race and other‐race sensitivity. The present quality of interracial contact moderated the relationship between instructions and other‐race sensitivity for both Black and White participants in Study 1 but not in Study 2. Overall, results provide mixed support for this social categorization model. Copyright © 2015 John Wiley & Sons, Ltd.     

Augmenting Visual Search Performance With Transcranial Direct Current Stimulation (tDCS)

Military personnel endure rigorous and demanding man-hours designated to monitoring and locating targets in tasks such as cyber defense and Unmanned Aerial Vehicle (UAV) operators. These tasks are monotonous and repetitive, which can result in vigilance decrement. The objective of the study was to implement a form of noninvasive brain stimulation known as transcranial DC stimulation (tDCS) over the left frontal eye field (LFEF) region of the scalp to improve cognitive performance. The participants received anodal and cathodal stimulation of 2 mA for 30 min as well as placebo stimulation on 3 separate days while performing the task. The findings suggest that anodal and cathodal stimulation significantly improves detection accuracy. Also, a correlation was detected between percent of eye closure (PERCLOS) and blinking frequency in relation to stimulation condition. Our data suggest that tDCS over the LFEF would be a beneficial countermeasure to mitigate the vigilance decrement and improve visual search performance.