An active SPSP membership is required to view most past webinars.

Social Psychological Perspectives on the Racism Pandemic (open to public)

Bias, Use of Force, and Policing: A Discussion of Social Psychological Considerations (open to public)

 

Presented July 7, 2020

In the midst of the COVID-19 pandemic, the murders of George Floyd, Breonna Taylor, and other Black people at the hands of police has brought heightened attention to the longer-standing racism pandemic. SPSP has put together a panel of experts to discuss social psychological perspectives on the racism pandemic: As a field, what do we know about how anti-Blackness operates, what can we do, and what should we do in our communities and our society?

Moderator: Denise Sekaquaptewa, University Diversity and Social Transformation Professor of Psychology, University of Michigan

Panelists:

• Patricia Devine, Kenneth and Mamie Clark Professor of Psychology, University of Wisconsin, Madison
• Kristin Dukes, Dean for Institutional Diversity, Allegheny College
• James Jones, Trustees Distinguished Professor, Emeritus, Psychological and Brain Sciences, University of Delaware
• Robert Sellers, Charles D. Moody Collegiate Professor of Psychology, University of Michigan
• Kamiya Stewart, Ph.D candidate, Tulane University
• Linda Tropp, Professor of Social Psychology, University of Massachusetts, Amherst

(open to public)

Presented June 30, 2020

With the pivot to remote teaching, what strategies can be used by faculty who teach at liberal arts institutions when planning their courses? How can high impact teaching practices translate from small classrooms to Zoom and other online platforms? What particular challenges are faced by faculty at teaching-intensive institutions when transitioning to teaching online, and what existing strengths can we draw upon to maximize the effectiveness of our classes?

Presented by
Benjamin Le, Haverford College
Yanna Weisberg, Linfield College

Presented June 10, 2020

Two scholars at different stages of their careers but with a long-standing interest in bias and equity were brought together with SPSP members and the general public on Zoom for a live town hall/webinar to discuss bias, use of force, and policing in support of SPSP's Statement Against Racism.

Presented by
Jack Glaser, Professor, Goldman School of Public Policy, UC Berkeley
Kimberly Barsamian Kahn, Associate Professor, Social Psychology, Portland State University
Malik Boykin (moderator), Assistant Professor, Brown University

(open to public)

Presented June 25, 2019

Curious about a non-academic career but not sure if it's right for you? Most who have transitioned out of academia have gone through some soul searching before taking the plunge. Two professionals discuss how they made the decision to start a new journey.

Presented by
Lily Jampol, People Scientist & D&I Strategist at ReadySet
Paul Litvak, Product Manager at Airbnb

Presented July 30, 2019

Three panelists from teaching-focused institutions explain how to convey your interests, skills, and expertise through a well-crafted cover letter, CV, research statement, diversity and inclusion statement, and teaching statement. They also describe the recruiting process and what they look for in candidates.

Presented by
Leslie Zorwick, Hendrix College
Alicia Nordstrom, Misericordia University
Carrie Langner, California State Polytechnic University
Camille Johnson (moderator), San Jose State University

Presented June 21, 2019

This webinar provides attendees with a friendly, gentle introduction to Bayesian statistics, and demonstrates how to perform Bayesian analyses using JASP statistical software. Attendees will come away understanding the "why" and "how" of Bayesian estimation and hypothesis testing. This workshop is relevant to any student or researcher who wishes to draw conclusions from empirical data.

Presented by
Alexander Etz, University of California, Irvine
Julia Haaf, University of Amsterdam
Johnny van Doorn, University of Amsterdam

Presented May 21, 2019

This conversational webinar leads attendees through the process of turning a curriculum vitae into a résumé suitable for seeking employment outside academia. Discussion topics include the differences between a CV and a résumé, and the process of developing the former into the latter. The intended audience is current graduate students, as well as recent graduate students who are early in their career since earning a graduate degree, but it may be of interest to any trained academic interested in pursuing a career outside the ivory tower.

Presented by
David A. Richards

December 5, 2018

R Markdown is a simple but very powerful way to mix R data analysis code and text. R Markdown documents are a great way to document your data analysis and create reproducible reports (e.g., that automatically render your graphs and tables and even your results section from your data). You can even use R Markdown to write your entire paper, avoiding copy-and-pasting your analyses, which can be a major source of errors in papers. The rendered documents look spiffy on the web and in print. In this workshop, we introduce R Markdown and show how it can be used as part of a reproducible writing workflow.

Presented by
Michael Frank, Stanford University

Presented September 26, 2018

This two-part webinar is ideal for newbies as well as researchers who have been exposed to Multilevel Modeling through a prior class or workshop but still have lots of questions. Topics in Part 1 include:

1. Identifying if MLM is necessary and determining whether data violates assumptions of independence.

2. Figuring out the nested structure of your data (including cross-classified models); Identifying the sources of non-independence in your data, including the possibility of cross-classification.

3. Approaches to dealing with non-independence – when to deal with non-independence through random versus fixed factors.

Presented by
Amie M. Gordon, University of California San Francisco

Presented September 27, 2018

Topics in Part 2 include:

1. The difference between fixed and random effects and what changes in the analysis process when random slopes are allowed in the model.

2. Grand-mean versus group centering – what they are and when to use them, unconfounding within and between person effects.

3. The residual and random effects of covariance matrices.

Presented by
Amie M. Gordon, University of California San Francisco