CAMeL

CAMeL (Community for Advanced Methodological Learning)

What is CAMeL: CAMeL is a student-run group based in the Psychology department, focused on broadening and deepening our knowledge about advanced quantitative methodology. (Faculty mentor: Aidan Wright, Ph.D.)

Who is CAMeL: We encourage scholars of all levels (including students, post-docs, staff, and faculty) and departments to join and contribute as often as desired.

Contact: Please feel free to contact Aidan Wright (aidan@pitt.edu), Catie Walsh (cpw23@pitt.edu), or Molly Bowdring (mab446@pitt.edu) with any questions! If you have an area of methodological interest or expertise on which you’d like to present, we’d love to hear from you!

 

Fall 2018 Meeting Schedule

We will hold six meetings this semester from 1-2pm on Fridays. Meeting topics are listed below (note that meeting locations vary).

Date: October 26

Location: LRDC 9th floor

Time: 1pm-2pm

Topic: Machine learning: Why, when, and (a bit of) how

Presenter: Marc Coutanche, Ph.D. (University of Pittsburgh)

Description: This will be an informal overview for anyone who is not very familiar with machine learning but is interested in learning about the approach. I will talk about the kinds of questions that machine learning can help with in psychology, examples of how it has been used for behavioral and neuroimaging data, considerations in selecting data, and general do's and don'ts.

Date: November 9

Location: Martin Room (4127 Sennott Square)

Time: 1pm-2pm

Topic: Meta-Analysis Panel

Presenter: Brenden Tervo-Clemmens, M.S., Kate Hails, M.S., Molly Bowdring, M.S., Catherine Walsh, M.S.

Description: This meeting will consist of a panel of graduate students who have conducted quantitative literature reviews (primarily, meta-analyses) in recent years. They will share a bit about their experiences conducting the reviews (e.g., issues encountered, data organization, timeline) and will be available to answer questions. This panel may be of particular interest to younger graduate students interested in conducting a meta-analysis for the comps milestone. 

Date: November 30

Location: Martin Room (4127 Sennott Square)

Time: 1pm-2:45pm

Topic: Introduction to Mediation, Moderation, and Conditional Process Analysis

Presenter: Nicholas Rockwood (Ohio State University)

ABSTRACT: In this talk, I will provide an overview of mediation and moderation analysis, mapping the concepts to statistical models. Further, I will describe the integration of mediation and moderation into a unifying framework known as conditional process analysis. After detailing the framework, an example of a conditional process analysis will be presented to provide attendees insight into how to construct and test a conditional process model related to their own research questions and hypotheses of interest.