Testing the automaticity features of the affect misattribution procedure: The roles of awareness and intentionality.

The affect misattribution procedure (AMP) is a measure of implicit evaluations, designed to index the automatic retrieval of evaluative knowledge. The AMP effect consists in participants evaluating neutral target stimuli positively when preceded by positive primes and negatively when preceded by negative primes. After multiple prior tests of intentionality, Hughes et al. (Behav Res Methods 55(4):1558-1586, 2023) examined the role of awareness in the AMP and found that AMP effects were larger when participants indicated that their response was influenced by the prime than when they did not. Here we report seven experiments (six preregistered; N = 2350) in which we vary the methodological features of the AMP to better understand this awareness effect. In Experiments 1-4, we establish variability in the magnitude of the awareness effect in response to variations in the AMP procedure. By introducing further modifications to the AMP procedure, Experiments 5-7 suggest an alternative explanation of the awareness effect, namely that awareness can be the outcome, rather than the cause, of evaluative congruency between primes and responses: Awareness effects emerged even when awareness could not have contributed to AMP effects, including when participants judged influence awareness for third parties or primes were presented post hoc. Finally, increasing the evaluative strength of the primes increased participants' tendency to misattribute AMP effects to the influence of target stimuli. Together, the present findings suggest that AMP effects can create awareness effects rather than vice versa and support the AMP's construct validity as a measure of unintentional evaluations of which participants are also potentially unaware.

People's Preferences for Inequality Respond Instantly to Changes in Status: A Simulated Society Experiment of Conflict Between the Rich and the Poor.

Most people in the United States agree they want some income inequality but debate exactly how much is fair. High-status people generally prefer more inequality than low-status individuals. Here we examine how much preferences for inequality are (or are not) driven by self-interest. Past work has generally investigated this idea in two ways: The first is by stratifying preferences by income, and the second is by randomly assigning financial status within lab-constructed scenarios. In this paper, we develop a method that combines both experimental control and the social experience of inequality-a simulated society experiment. Across two experiments (N = 138, observations = 690), participants voted on the distribution of rewards-first behind a veil of ignorance, and then when they were randomly assigned a status within a game of chance. Status varied repeatedly across five rounds, allowing us to measure dynamic preferences. Under the veil of ignorance, people preferred inequality favoring the top status. When the veil of ignorance disappeared, self-interest immediately influenced inequality preferences. Those who randomly landed in top positions were satisfied with the status quo established under the veil of ignorance, whereas those who randomly landed in bottom positions wanted more equality. Yet these preferences were not stable; decisions about the optimal level of inequality changed according to changes in social status. Our results also showed that, when inequality grows in a society, preferences regarding inequality become polarized by social status. Individuals in low-status positions, particularly, tend to demand more equality.

Math and language gender stereotypes: Age and gender differences in implicit biases and explicit beliefs.

In a cross-sectional study of youth ages 8-15, we examined implicit and explicit gender stereotypes regarding math and language abilities. We investigated how implicit and explicit stereotypes differ across age and gender groups and whether they are consistent with cultural stereotypes. Participants (N = 270) completed the Affect Misattribution Procedure (AMP) and a survey of explicit beliefs. Across all ages, boys showed neither math nor language implicit gender biases, whereas girls implicitly favored girls in both domains. These findings are counter to cultural stereotypes, which favor boys in math. On the explicit measure, both boys' and girls' primary tendency was to favor girls in math and language ability, with the exception of elementary school boys, who rated genders equally. We conclude that objective gender differences in academic success guide differences in children's explicit reports and implicit biases.

The development of academic and nonacademic race stereotypes in African American adolescents.

The purpose of this longitudinal study was to examine developmental change and gender differences in the Black-White race stereotype endorsement of African American adolescents. In Grades 7, 10, and 12, African American students (N = 563; 313 girls) reported their perceptions of the competence of Blacks and Whites in academic, music, and sports domains. Multilevel growth modeling (MLM) was used to assess change from Grade 7 to Grade 12. Separate models tested academic (English, math, science) and nonacademic (music and sports) stereotypes. Across time points, students reported higher competence for Whites than Blacks in English, math, and science and higher competence for Blacks in music and sports. Academic stereotype endorsement increased between Grades 7 and 10, and students' endorsement of music and sports stereotypes decreased over time. Girls endorsed race stereotypes favoring Whites in math and science more strongly than boys. Boys reported stronger sports stereotypes than girls. Results highlight the value of intersectional approaches to studying stereotypes, as factors linked to gender identity may play a role in Black youths' race stereotype endorsement. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Stability and Change in Implicit Bias.

Can implicit bias be changed? In a recent longitudinal study, Lai and colleagues (2016, Study 2) compared nine interventions intended to reduce racial bias across 18 university campuses. Although all interventions changed participants' bias on an immediate test, none were effective after a delay. This study has been interpreted as strong evidence that implicit biases are difficult to change. We revisited Lai et al.'s study to test whether the stability observed reflected persistent individual attitudes or stable environments. Our reanalysis (N = 4,842) indicates that individual biases did not return to preexisting levels. Instead, campus means returned to preexisting campus means, whereas individual scores fluctuated mostly randomly. Campus means were predicted by markers of structural inequality. Our results are consistent with the theory that implicit bias reflects biases in the environment rather than individual dispositions. This conclusion is nearly the opposite of the original interpretation: Although social environments are stable, individual implicit biases are ephemeral.

Historical roots of implicit bias in slavery.

Implicit racial bias remains widespread, even among individuals who explicitly reject prejudice. One reason for the persistence of implicit bias may be that it is maintained through structural and historical inequalities that change slowly. We investigated the historical persistence of implicit bias by comparing modern implicit bias with the proportion of the population enslaved in those counties in 1860. Counties and states more dependent on slavery before the Civil War displayed higher levels of pro-White implicit bias today among White residents and less pro-White bias among Black residents. These associations remained significant after controlling for explicit bias. The association between slave populations and implicit bias was partially explained by measures of structural inequalities. Our results support an interpretation of implicit bias as the cognitive residue of past and present structural inequalities.

Network analysis of persistent complex bereavement disorder in conjugally bereaved adults.

Persistent complex bereavement disorder (PCBD) is a bereavement-specific syndrome characterized by prolonged and impairing grief. Most research on this syndrome rests on the traditional latent variable model, whereby symptoms reflect an underlying entity. The network (or causal system) approach offers an alternative framework for understanding PCBD that does not suffer from limitations inherent in the latent entity approach. The network approach to psychopathology conceptualizes the relation between symptoms and disorder as mereological, not reflective. That is, symptoms do not reflect an inferred, unobservable category or dimension, but rather are themselves constitutive of the disorder. Accordingly, we propose that PCBD constitutes a causal system of mutually reinforcing symptoms that arise following the death of a loved one and settle into a pathological equilibrium. In this study, we used data from the Changing Lives of Older Couples database to identify symptoms central to PCBD, to distinguish the PCBD network from an overlapping but distinct network of depression symptoms, and to examine how previously identified risk factors may contribute to the maintenance or development of PCBD. Together, these findings provide an important first step toward understanding the nature and etiology of the PCBD network.