The "saw-it-all-along" effect: demonstrations of visual hindsight bias

The authors address whether a hindsight bias exists for visual perception tasks. In 3 experiments, participants identified degraded celebrity faces as they resolved to full clarity (Phase 1). Following Phase 1, participants either recalled the level of blur present at the time of Phase 1 identification or predicted the level of blur at which a peer would make an accurate identification. In all experiments, participants overestimated identification performance of naive observers. Visual hindsight bias was greater for more familiar faces--those shown in both phases of the experiment--and was not reduced following instructions to participants to avoid the bias. The authors propose a fluency-misattribution theory to account for the bias and discuss implications for medical malpractice litigation and eyewitness testimony.     

Acknowledgment of Reviewers

Dedication

Acknowledgment of Reviewers     

Antecedents and consequences of emotional display rule perceptions

Central to all theories of emotional labor is the idea that individuals follow emotional display rules that specify the appropriate expression of emotions on the job. This investigation examined antecedents and consequences of emotional display rule perceptions. Full-time working adults (N = 152) from a variety of occupations provided self-report data, and supervisors and coworkers completed measures pertaining to the focal employees. Results using structural equation modeling revealed that job-based interpersonal requirements, supervisor display rule perceptions, and employee extraversion and neuroticism were predictive of employee display rule perceptions. Employee display rule perceptions, in turn, were related to self-reported job satisfaction and coworker ratings of employees' emotional displays on the job. Finally, neuroticism had direct negative relationships with job satisfaction and coworker ratings of employees' emotional displays.     

Consensus at zero acquaintance: replication, behavioral cues, and stability.

That observers tend to agree in their ratings of a target even if they have never interacted with that target has been called consensus at zero acquaintance. The basic finding that consensus is highest for judgments concerning a target's degree of extraversion (EV) and somewhat weaker for judgments of conscientiousness is replicated. Several potential observable cues that might be used by judges when rating targets are examined. The finding that ratings of physical attractiveness correlate with judgments of EV is replicated. In Study 1, rapid body movements and smiling were also found to correlate with EV judgments. The level of consensus declined when initially unacquainted Ss interacted one-on-one (Study 2), but did not decline--and even increased--when Ss interacted in a group (Study 3). Ss judged as extraverted at zero acquaintance were also seen as extraverted after interacting with others.     

In‐group and role identity influences on the initiation and maintenance of students' voluntary attendance at peer study sessions for statistics

Background. Although class attendance is linked to academic performance, questions remain about what determines students' decisions to attend or miss class. Aims. In addition to the constructs of a common decision‐making model, the theory of planned behaviour, the present study examined the influence of student role identity and university student (in‐group) identification for predicting both the initiation and maintenance of students' attendance at voluntary peer‐assisted study sessions in a statistics subject. Sample. University students enrolled in a statistics subject were invited to complete a questionnaire at two time points across the academic semester. A total of 79 university students completed questionnaires at the first data collection point, with 46 students completing the questionnaire at the second data collection point. Method. Twice during the semester, students' attitudes, subjective norm, perceived behavioural control, student role identity, in‐group identification, and intention to attend study sessions were assessed via on‐line questionnaires. Objective measures of class attendance records for each half‐semester (or ‘term’) were obtained. Results. Across both terms, students' attitudes predicted their attendance intentions, with intentions predicting class attendance. Earlier in the semester, in addition to perceived behavioural control, both student role identity and in‐group identification predicted students' attendance intentions, with only role identity influencing intentions later in the semester. Conclusions. These findings highlight the possible chronology that different identity influences have in determining students' initial and maintained attendance at voluntary sessions designed to facilitate their learning.     

Implicit learning of social predictions

Humans exchange a range of nonverbal social signals in every interaction. It is an open question whether people use these signals, consciously or unconsciously, to guide social behavior. This experiment directly tested whether participants could learn to predict another person’s behavior using nonverbal cues in a single interaction, and whether explicit knowledge of the cue-outcome relationship was necessary for successful prediction. Participants played a computerized game of rock-paper-scissors against an avatar they believed was another participant. Sometimes the avatar generated a predictive facial cue before the play. On these trials, participants’ win-frequency increased over time, even if they did not acquire explicit knowledge of the predictive cue. The degree to which participants could predict the avatar (wins on cued trials) related to their self-reported liking of the avatar. These findings demonstrate the importance of implicit associative learning mechanisms in guiding social behavior on a moment-to-moment basis during interaction.     

Dyadic Models for the Study of Health

Dyadic designs have been used in health research to investigate intra‐ and inter‐personal mechanisms of health and well‐being in various types of dyads, including parent–child dyads, siblings, friends, and romantic partners. Although a growing number of researchers are designing studies that capture the interdependent complexities of relationships, many still need more information on how to analyze the data in a way that maximizes its value. Therefore, the purpose of this review paper is twofold: (1) to address some of the ways in which dyadic data analysis is being used in current health research, with an emphasis on research that has employed the Actor‐Partner Interdependence Model, and (2) to propose and explain various methodological and substantive considerations that researchers should consider when using dyadic data analysis in their own research.