The pervasiveness of racism in the U.S. and its negative impact on key development outcomes has led researchers to uncover mediators, of which this article argues efficacy should be considered. Self-efficacy, one’s belief in their capability to accomplish a task or goal, can be measured in multiple domains of functioning and contexts to predict behavior. The current study examines possible specificity in the relation between discrimination (general discrimination [GD] and school discrimination [SD]) and efficacy (academic efficacy [AE] and efficacy to combat discrimination [ECD]), whether resilience modifies these associations, and if these processes differ by gender. 879 Black youth (47% female; mean age = 12, SD = 0.58) were included in the analyses. Findings suggest that school discrimination experiences perceived resilience impact domains of efficacy differently. Resilience positively impacted AE, but no significant moderation effects were found.

We know little about the relationships that matter to emerging adults. This preregistered report elaborates our plan to survey 200 emerging adults (approximately half male) to better understand the role of significant others. First, we plan to ask emerging adults to list individuals who matter and we will code the open-ended text for relationship type. Second, we will use an adapted version of Schneck’s (2009) Mattering Scale to assess mattering among five common close relationships (i.e., mother figure, father figure, partner, best friend, sibling). We predict that mattering of partner and best friend will be highest, mothers will matter more than fathers, and siblings will matter least. We hypothesize failing to mention a relationship in the open-ended portion will be related to lower mattering of that relationship. Finally, we anticipate better well being and less loneliness when the list of those who matter is longer and when significant others matter more.

In response to the COVID-19 pandemic shut-down of in-person research laboratories, remote data collection became mainstream in developmental psychology research. The aim of this study was to test the feasibility of two remote data collection methods for studying sleep and motor development in infancy and the relationship between the two. We asked 1,371 parents of infants aged 4 to 17 months who used the Nanit baby monitor to take the on-line Survey of Well-being of Young Children (SWYC) about their infants’ motor experience. Nanit uses auto-videosomnography and computer vision algorithms to calculate and report summary statistics of infants’ sleep. Nanit replicated all expected developmental trends in sleep, while the SWYC only replicated some, appearing to underestimate infants at the transition between motor milestones. However, we replicated some well-established findings regarding the relationship between sleep and motor development using both measures, suggesting that both Nanit and the SWYC can feasibly be used for remote data collection, especially if some modifications were made to how researchers explained using the SWYC to caregivers. Researchers should consider alternatives to traditional research methods not only when in-person participation is difficult or impossible, but also when large samples are needed and/or simple measurement tools are sufficient.