Preprint on Financial Constraint and Beliefs about COVID-19

New preprint posted on PsyArXiv about the relationship between financial constraint and people’s beliefs about their personal risk and national spread of COVID-19:

https://psyarxiv.com/xfrz3/

In early March 2020, two crises quickly emerged: the COVID-19 public health crisis and a corresponding economic crisis resulting from business closures and skyrocketing job losses. While the link between socioeconomic status and infectious disease is well-documented, the psychological impacts of financial constraint on perceptions of disease spread and subsequent actions is not well understood. We show that financial constraint predicts people’s beliefs about both their personal risk of infection and the national spread of the virus as well as their social distancing behavior. In addition, we compare the predictive utility of financial constraint to two other commonly studied factors: political partisanship and local disease severity. The strength of the effect of financial constraint equals or eclipses the influence of partisanship on beliefs and is much larger than that of local disease severity. We also show that negative affect partially mediates the relationship between financial constraint and COVID-19 beliefs and social distancing behaviors. These results suggest the economic crisis created by COVID-19 is spilling over into people’s beliefs about the health crisis and their behaviors. Correspondingly, variables related to the economic crisis created by COVID-19 can be used to predict both people’s beliefs about the health crisis as well as relevant behaviors.

Now accepting Postdoc applications for Summer / Fall 2020

We are looking for a new postdoc to join the lab starting in Summer or Fall.

Candidates should hold a Ph.D. in psychology, neuroscience, computer science, mathematics, engineering, or related disciplines. The following skills are also strongly desired:

  1. Background in computational modeling
  2. Experience designing and running experiments with human participants
  3. Solid programming skills
  4. Knowledge of Bayesian methods for model fitting and comparison
  5. Demonstrated scientific expertise, with publications in refereed journals

To Apply: Please submit a cover letter including a brief statement of career goals, curriculum vitae, one example publication / manuscript, and contact information of three references. Apply to Dr. Jennifer Trueblood, jennifer.s.trueblood@vanderbilt.edu. Review of applications will begin immediately and will continue until the position is filled.

For more details see the full ad.

Paid Research Position Available

The CDM lab is currently recruiting a Vanderbilt undergraduate student for a paid research position in the lab starting in Jan. 2020. The ideal candidate will have strong programming experience (preferably python) and an interest in cognitive science. This is a great position for someone interested in going to graduate school in cognitive science, computer science, psychology, neuroscience, or data science. Responsibilities include programming experiments, data analysis, managing human subjects, and maintaining lab computers. There are also opportunities to learn about computational cognitive modeling. Previous undergraduate research assistants have been co-authors on papers published in top cognitive science and psychology journals.

The work load is about 15 hours per week and pay is based on previous experience. If you are interested, please send an email to Dr. Jennifer Trueblood (jennifer.s.trueblood@vanderbilt.edu) and include your resume. Dr. Trueblood will interview students in December.

This position is only open to currently enrolled Vanderbilt undergraduate students.