Thin-Slice Socioeconomic Status: Comparing Thin-Slice and Longer Judgments of SES and the Cues That Inform Them

Presenter(s): Arianna Zarosinski − Psychology

Faculty Mentor(s): Sanjay Srivastava, Bradley Hughes

Poster 104

Research Area: Social Science – Social Psychology

Thin-slice perceptions, or perceptions made of others prior to interaction or after a brief interaction, have been widely studied in personality trait domains. The thin-slice approach has also been used to examine perceptions of social class. Socioeconomic status is an important factor in this discussion, as perceived SES can influence overall perceptions of others. However, few studies on socioeconomic status have been conducted using the thin-slice approach. In this study, we examine whether thin-slice judgements of SES are as accurate as predictions formed from longer observations by comparing thin-slice ratings of 60 second videos with ratings made after a 20-min interaction. We also examine whether observed cues used to express and make judgements of socioeconomic status differ between thin-slice observations (1-minute) and longer (20 minute) observations using a Brunswik lens analysis. This study is preregistered through the Open Science Framework, and a sample of 750 thin-slice ratings of SES and 750 ratings of observed cues are being collected from the University of Oregon Psychology and Linguistics human subject pool. *This is an ongoing study and results will be included in the presentation. It will also be altered to refer to the study in the past tense.

The Influence of Women’s Self-Perceptions of Ability and Effort Expenditure on Science, Technology, Engineering, and Math Field Persistence

Presenter(s): Samuel Ryan Adcock – Psychology

Faculty Mentor(s): Sara Hodges, Kathryn Denning

Poster 106

Research Area: Social Psychology

Women in the United States consistently drop out of Science, Technology, Engineering, and Math (STEM) fields at various points along the career pathway. While discrimination is an important factor, women’s self-perceived levels of natural ability and effort exertion relative to those of others in their field may lead to decreased future persistence in STEM. To discover whether these factors influence the decision to leave STEM at the undergraduate level, the current study used questionnaires to measure male and female undergraduates’ future persistence, field identification, and self-perceptions of ability and effort expenditure. We expect to find that low self-perceived natural ability as well as high self-perceived effort exertion relative

to peers will be associated with low future persistence, moderated by gender. However, we also expect to find that field identification will act as a buffer allowing for future persistence in spite of self-perceived low ability and high relative effort exertion. If confirmed, these findings will speak to the importance of conveying to women that gender does not influence STEM ability