Research Portfolio
Over the past 10 years, I have been involved in over 25 mixed-methods research projects, and have been the lead on 8 different projects as a graduate social scientist.
Below are 3 curated projects which demonstrate distinct research methods and analytical skills in my tool belt. Click on the images to learn more!
Social Class Bias in Healthcare
Above is my dissertation project, which comprises a 5-study package of quantitative experiments exploring how a medical patient’s social class influences how they are perceived and treated within the healthcare system, plus 3 studies to examine the impact of a novel mindset procedure called Empathic Care for healthcare providers.
We found that even when exhibiting the same noncompliant behavior in a mock telehealth vignette, a low-SES patient is perceived more poorly than a high-SES patient. We also found that providers had a greater desire to give up on the low-SES patient and prescribed less intense treatment. Excitingly, however, we also found that Empathic Care promotes more positive beliefs about patients as well as less biased perceptions of a low-SES patient.
Mindset Intervention for the Workplace
Above is a mixed-methods research study that involved developing and testing a novel mindset procedure called Empathic-dynamics for the workplace. Empathic-dynamics focuses on workplace relationships and perspective-taking at work.
We found that Empathic-dynamics adjusted university employees mindsets about others at work, and promoted their valuation of workplace relationships. Not only did Empathic-dynamics promote how much employees expected to engage in perspective-taking at work, we found that employees actually did engage in more perspective-taking, even in challenging interpersonal workplace situations.
App-Based Exploration of Daily Stress and Biometrics
The research study above was an examination of the impact of daily discrimination experiences on biometrics — namely heart rate, diastolic, and systolic blood pressure — across a 3-week app-based research study called MyBPLab. Participants engaged with the app and used their Samsung phone and / or wearable devices to collect their biometrics.
We found that more daily experiences of discrimination predicted increased heart rate and diastolic blood pressure. Interestingly, we also found that negative affect mediates these relationships.