Best research practices for using the Implicit Association Test.

Interest in unintended discrimination that can result from implicit attitudes and stereotypes (implicit biases) has stimulated many research investigations. Much of this research has used the Implicit Association Test (IAT) to measure association strengths that are presumed to underlie implicit biases. It had been more than a decade since the last published treatment of recommended best practices for research using IAT measures. After an initial draft by the first author, and continuing through three subsequent drafts, the 22 authors and 14 commenters contributed extensively to refining the selection and description of recommendation-worthy research practices. Individual judgments of agreement or disagreement were provided by 29 of the 36 authors and commenters. Of the 21 recommended practices for conducting research with IAT measures presented in this article, all but two were endorsed by 90% or more of those who felt knowledgeable enough to express agreement or disagreement; only 4% of the totality of judgments expressed disagreement. For two practices that were retained despite more than two judgments of disagreement (four for one, five for the other), the bases for those disagreements are described in presenting the recommendations. The article additionally provides recommendations for how to report procedures of IAT measures in empirical articles.

Predicting Early-Childhood Gender Transitions.

Increasing numbers of gender-nonconforming children are socially transitioning-changing pronouns to live as their identified genders. We studied a cohort of gender-nonconforming children ( n = 85) and contacted them again approximately 2 years later. When recontacted, 36 of the children had socially transitioned. We found that stronger cross-sex identification and preferences expressed by gender-nonconforming children at initial testing predicted whether they later socially transitioned. We then compared the gender-nonconforming children with groups of transitioned transgender children ( n = 84) and gender-conforming controls ( n = 85). Children from our longitudinal cohort who would later transition were highly similar to transgender children (children who had already socially transitioned) and to control children of the gender to which they would eventually transition. Gender-nonconforming children who would not go on to transition were different from these groups. These results suggest that (a) social transitions may be predictable from gender identification and preferences and (b) gender identification and preferences may not meaningfully differ before and after social transitions.

Test-retest reliability and predictive validity of the Implicit Association Test in children.

The Implicit Association Test (IAT) is increasingly used in developmental research despite minimal evidence of whether children's IAT scores are reliable across time or predictive of behavior. When test-retest reliability and predictive validity have been assessed, the results have been mixed, and because these studies have differed on many factors simultaneously (lag-time between testing administrations, domain, etc.), it is difficult to discern what factors may explain variability in existing test-retest reliability and predictive validity estimates. Across five studies (total N = 519; ages 6- to 11-years-old), we manipulated two factors that have varied in previous developmental research-lag-time and domain. An internal meta-analysis of these studies revealed that, across three different methods of analyzing the data, mean test-retest (rs of .48, .38, and .34) and predictive validity (rs of .46, .20, and .10) effect sizes were significantly greater than zero. While lag-time did not moderate the magnitude of test-retest coefficients, whether we observed domain differences in test-retest reliability and predictive validity estimates was contingent on other factors, such as how we scored the IAT or whether we included estimates from a unique sample (i.e., a sample containing gender typical and gender diverse children). Recommendations are made for developmental researchers that utilize the IAT in their research. (PsycINFO Database Record

A client-level session-by-session evaluation of behavioral activation's mechanism of action.

BACKGROUND AND OBJECTIVES: Our understanding of how Behavioral Activation (BA) for depression works is limited. BA is theorized to lead to changes in depression through changes in activation. While distal support for activation as a mechanism has been obtained, more research is needed before definitive conclusions can be drawn. Research on mechanism should consider the appropriate time-frame for examining changes in the theorized mechanism variable and whether the proposed mechanism is expected to exert causal influence in all BA cases. These issues were considered in the current study in which a post-hoc analysis was conducted to explore BA's mechanism using single-subject data obtained at each session during the course of treatment. METHODS: Activation and depression data were obtained from a randomized-controlled trial of BA for Latinos (BAL) compared to treatment-as-usual (TAU). Cross-lagged correlations were computed to test whether activation changes preceded, co-occurred with, or lagged behind changes in depression in a sample of 21 clients (BAL n = 14; TAU n = 7). Differences among participants based on activation-depression patterns were examined. RESULTS: For 79% of the BAL sample, changes in activation preceded or co-occurred with changes in depression, while no clients in the TAU sample evidenced this pattern. LIMITATIONS: Use of more proximal and objective measures of the constructs of interest and a higher dosage of BA may have served as a stronger test of the treatment's mechanism. CONCLUSIONS: More time-sensitive measurement of changes in variables of interest is needed.

Do motivations for using Facebook moderate the association between Facebook use and psychological well-being?

Previous investigations of the relationship between Facebook use and psychological well-being have most commonly considered variables relating to the quantity (e.g., time spent online) and underlying motivations (e.g., making new friends) of Facebook consumption. However, previous research has reached contradictory conclusions in that quantity of Facebook use has been linked to both higher and lower levels of psychological well-being. The current study investigated whether these contradictory findings of quantity of Facebook use could be explained by considering users' motivations for accessing Facebook. We predicted that quantity of use would be positively associated with psychological well-being when users primarily accessed Facebook to maintain existing relationships but negatively associated with psychological well-being when primarily accessed to create new relationships. In a sample of college undergraduates (N = 119), we found that the relationship of quantity of Facebook use on psychological well-being was moderated by the motivation of the user. Quantity of Facebook use was associated with higher levels of psychological well-being among users that accessed Facebook for friendship purposes but was negatively associated with psychological well-being among users that accessed Facebook for connection purposes (e.g., making new friends). We also replicated our results across dimensions of psychological well-being (e.g., anxiety and life satisfaction). The current findings provide initial evidence that quantity and motivations of Facebook use interact with potentially serious implications for psychological well-being and also provide a possible explanation for why quantity of Facebook use can be linked with both positive and negative psychological well-being.