Perceived Similarity on Collaboration
An investigation on how initial perceived similarity sets the stage for future collaboration.
Barnard Social Interaction Lab
Team
Katherine Thorson (P.I.)
Humaira Ahmed
Phoebe Muntz
Role
Research Assistant
Key Skills
Research Moderation
Survey Design
Quantitative Data Analysis
Timeline
June - August 2022
Tools
Qualtrics
Zoom
IBM SPSS
Excel
R
Summer Research Institute 2022
In the summer of 2022, as part of Barnard College’s Summer Research Institute, I joined the Barnard Social Interaction Lab to investigate how perceived similarity can impact collaboration between two strangers. The goal of this research was to determine how perceived similarity, gained through lightly structured and unstructured conversations could be associated with engagement and enjoyment during a collaborative task. My team was in charge of handling research sessions, and I led the analysis and final presentation as a part of my project for the summer.
In short, I found that perceived similarity positively predicted people’s enjoyment of a task with their partner, how well they thought they worked with them, and their partner’s perceptions of their collaboration which could have larger implications to the importance of getting aquatinted with coworkers or peers in educational and professional work spaces.
In February of 2023, I presented this work to a larger audience as a featured project at the Society for Personality and Social Psychology Annual Conference.
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For this study, we leveraged multiple methods of recruiting for this research study.
In-person recruitment: Approaching students around campus
Social media: Posting recruitment graphics on social media to reach broader audiences
Flyering: Posting graphics with brief descriptions of the research study around campus
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For this study, I conducted 1-hour study sessions between pairs of Barnard and Columbia students virtually on Zoom.
Each session had 3 phases:
Structured introductory conversation
Unstructured conversation
Collaborative activity
Participants were surveyed after the unstructured conversation phase of the study and the collaborative activity
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For analysis, I primarily used IBM SPSS, Excel, and R.
IBM SPSS: Run analysis on key demographics collected from participants to report
Excel: Visualize participant demographics
R: Creat visualizations to identify and demonstrate trends across participants and variables