Un/gendering Social Selves: How Nonbinary People Navigate and Experience a Binarily Gendered World

Based on in‐depth interviews, we explore how people who do not identify exclusively or consistently as either women or men (i.e., nonbinary people) navigate a culture that bifurcates people into women or men. Using an interactionist approach, we first analyze how interviewees employ discourse (e.g., names, identity labels, and pronouns) and the body (e.g., expressions, decoration, and transformation) to present themselves as nonbinary, which we conceptualize as ungendering social selves. Second, we examine the emotional benefits (e.g., authenticity, pride, liberation) and burdens (e.g., fear, rejection, exhaustion) of ungendering. Third, we uncover the emotional, social, and structural conditions under which our nonbinary‐identified participants sometimes present themselves as binarily gendered, which we conceptualize as gendering social selves. We conclude with discussing empirical and theoretical contributions.     

Modeling population and subject-specific growth in a latent trait measured by multiple instruments over time using a hierarchical Bayesian framework

Psychometric growth curve modeling techniques are used to describe a person’s latent ability and how that ability changes over time based on a specific measurement instrument. However, the same instrument cannot always be used over a period of time to measure that latent ability. This is often the case when measuring traits longitudinally in children. Reasons may be that over time some measurement tools that were difficult for young children become too easy as they age resulting in floor effects or ceiling effects or both. We propose a Bayesian hierarchical model for such a scenario. Within the Bayesian model we combine information from multiple instruments used at different age ranges and having different scoring schemes to examine growth in latent ability over time. The model includes between-subject variance and within-subject variance and does not require linking item specific difficulty between the measurement tools. The model’s utility is demonstrated on a study of language ability in children from ages one to ten who are hard of hearing where measurement tool specific growth and subject-specific growth are shown in addition to a group level latent growth curve comparing the hard of hearing children to children with normal hearing.KEYWORDS: Bayesian hierarchical models, psychometric modeling, language ability, growth curve modeling, longitudinal analysis     

Coaching as a Packaged Intervention for Telemarketing Personnel

Prior literature indicates that although the sales function of an organization is a critical element for its success, there is a lack of research on specific actions managers can take to influence sales subordinates. The purpose of the present study was to assess the effects of a coaching package combined with incentives on sales performance for telemarketing personnel in an organizational setting. Following the implementation of the coaching package, there was a substantial increase in critical behaviors performed, pending sales set, and final sales completed by all telemarketers.     

How leader role identity influences the process of leader emergence: A social network analysis

Contemporary theories on leadership development emphasize the importance of having a leader identity in building leadership skills and functioning effectively as leaders. We build on this approach by unpacking the role leader identity plays in the leader emergence process. Taking the perspective that leadership is a dynamic social process between group members, we propose a social network-based process model whereby leader role identity predicts network centrality (i.e., betweenness and indegree), which then contributes to leader emergence. We test our model using a sample of 88 cadets participating in a leadership development training course. In support of our model, cadets who possess a stronger leader role identity at the beginning of the course were more likely to emerge as leaders. However this relationship was only mediated by one form of network centrality, indegree centrality, reflecting one's ability to build relationships within one's group. Implications for research and practice are discussed.     

Dyadic Supervision Evaluation: An Actor–Partner Relational Model

This article contributes to research practices in marital and family therapy, specifically the dyadic and development over time in clinical supervision, and describes and applies methodological strategies to develop measurements congruent with the systemic and developmental principles of the field. This project evaluates the psychometric properties of the dyadic supervision evaluation (DSE) in terms of measurement equivalence and causality. A structural equation analysis is conducted utilizing the actor–partner interdependent model resulting in a goodness of fit. This study presents a longitudinal model for evaluating the supervisory relationship and proposes a model of clinical supervision evaluation. The relationship among latent constructs in the DSE and its limitations related to inference and application are discussed.     

Unclaimed Prize Information Biases Perceptions of Winning in Scratch Card Gambling

Unclaimed prize information (i.e., the number of prizes still available to be won) is information commonly provided to scratch card gamblers. However, unless the number of tickets remaining to be purchased is also provided, this information is uninformative. Despite its lack of utility in assisting gamblers in choosing the most favourable type of scratch card to play, we hypothesized that unclaimed prize information would bias participants’ judgments within a scratch card gambling context. In Experiment 1 (N?=?201), we showed that participants are influenced by this information such that they felt more likely to win, were more excited to play, and preferred to hypothetically purchase more of the scratch card with the greatest number of unclaimed prizes. In Experiment 2 (N?=?201), we attempted to ameliorate this bias by providing participants with the number of tickets remaining to be purchased and equating the payback percentages of all three games. The bias, although attenuated, still persisted in these conditions. Finally, in Experiment 3 (N?=?200), we manipulated the hypothetical scratch cards such that games with the highest number of unclaimed prizes were the least favourable, and vice versa. As in Experiment 2, participants still favoured cards with greater numbers of unclaimed prizes. Possible mechanisms underlying this bias are discussed. In conclusion, across three experiments, we demonstrate that salient unclaimed prize information is capable of exerting a strong effect over judgments related to scratch card games.