Empirical evidence affirms that gender is a nonbinary spectrum. Yet our review of recently published empirical articles reveals that demographic gender measurement in psychology still assumes that gender comprises just two categories: women and men. This common practice is problematic. It fails to represent psychologists' current understanding of gender, violates our ethical principles as scientists, and can result in gender misclassification. Psychologists' reliance on binary measures also conveys an exclusionary attitude that is contrary to recent ethical recommendations and contrary to the growing public concern about transgender rights. We extend five simple, no-cost recommendations that begin to resolve these ethical and methodological problems: use and report, nonbinary gender measures; report the prevalence of nonbinary participants; clarify their inclusion and treatment in analysis; and use gender inclusive language. We also address common concerns expressed by researchers, including whether measuring "sex" resolves the issue and whether gender-inclusive measures confuse or offend participants.
The authors draw upon social, personality, and health psychology to propose and test a self-and-social-bonds model of health. The model contends that lower self-esteem predicts health problems and that poor-quality social bonds explain this association. In Study 1, lower self-esteem prospectively predicted reports of health problems 2 months later, and this association was explained by subjective reports of poor social bonds. Study 2 replicated the results of Study 1 but used a longitudinal design with 6 waves of data collection, assessed self-reports of concrete health-related behaviors (i.e., number of visits to the doctor and classes missed due to illness), and measured both subjective and objective indicators of quality of social bonds (i.e., interpersonal stress and number of friends). In addition, Study 2 showed that poor-quality social bonds predicted acute drops in self-esteem over time, which in turn predicted acute decreases in quality of social bonds and, consequently, acute increases in health problems. In both studies, alternative explanations to the model were tested.
Social risk elicits self-esteem differences in signature social motivations and behaviors during the relationship-initiation process. In particular, the present research tested the hypothesis that lower self-esteem individuals' (LSEs) motivation to avoid rejection leads them to self-protectively underestimate acceptance from potential romantic partners, whereas higher self-esteem individuals' (HSEs) motivation to promote new relationships leads them to overestimate acceptance. The results of 5 experiments supported these predictions. Social risk increased activation of avoidance goals for LSEs on a word-recall task but increased activation of approach goals for HSEs, as evidenced by their increased use of likeable behaviors. Consistent with these patterns of goal activation, even though actual acceptance cues were held constant across all participants, social risk decreased the amount of acceptance that LSEs perceived from their interaction partner but increased the amount of acceptance that HSEs perceived from their interaction partner. It is important to note that such self-esteem differences in avoidance goals, approach behaviors, and perceptions of acceptance were completely eliminated when social risk was removed.
Four studies demonstrated that fears of rejection prompt individuals to exhibit a signal amplification bias, whereby they perceive that their overtures communicate more romantic interest to potential partners than is actually the case. The link between rejection anxieties and the bias was evident regardless of whether fears of rejection were assessed in terms of chronic attachment anxiety or were induced by reflection on a previous rejection experience. Mediation analyses suggested that the bias stems in part from an expected-augmenting process, whereby persons with strong fears of rejection incorrectly assume that the recipient of their overtures will take their inhibitions into account when interpreting their behavior. Implications for understanding the link between attachment anxiety and loneliness and for designing social skills interventions are discussed.
Self-esteem promises to serve as the nexus of social experiences ranging from social acceptance, interpersonal traits, interpersonal behavior, relationship quality, and relationship stability. Yet previous researchers have questioned the utility of self-esteem for understanding relational outcomes. To examine the importance of self-esteem for understanding interpersonal experiences, we conducted systematic meta-analyses on the association between trait self-esteem and five types of interpersonal indicators. To ensure our results were not due to self-esteem biases in perception, we focused our meta-analyses to 196 samples totaling 121,300 participants wherein researchers assessed interpersonal indicators via outsider reports. Results revealed that the association between self-esteem and the majority of objective interpersonal indicators was small to moderate, lowest for specific and distal outcomes, and moderated by social risk. Importantly, a subset of longitudinal studies suggests that self-esteem predicts later interpersonal experience. Our results should encourage researchers to further explore the link between self-esteem and one's interpersonal world.
People's expectations of acceptance often come to create the acceptance or rejection they anticipate. The authors tested the hypothesis that interpersonal warmth is the behavioral key to this acceptance prophecy: If people expect acceptance, they will behave warmly, which in turn will lead other people to accept them; if they expect rejection, they will behave coldly, which will lead to less acceptance. A correlational study and an experiment supported this model. Study 1 confirmed that participants' warm and friendly behavior was a robust mediator of the acceptance prophecy compared to four plausible alternative explanations. Study 2 demonstrated that situational cues that reduced the risk of rejection also increased socially pessimistic participants' warmth and thus improved their social outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.