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APA2021-403: Best Practices in Open Science Data Analysis: Ethics, Visualization, and Estimation

Venue

This is a virtual event, accessible online and over the phone. Access instructions will be provided after registration.

Description

Closed captioning is provided with this program

Back by Popular Demand
The research landscape is changing, and researchers must adapt statistical practices to include estimation and visualization. This introductory applied workshop teaches participants the ethics of data analysis, how to visualize statistical models, and how to supplement visuals with effect sizes to answer research questions. All this will be taught in the point-and-click software JASP, and participants learn advanced statistical procedures without unnecessary mathematical equations or complicated computer programming. Participants are encouraged to “learn by doing” with practice datasets on their own laptops under the direction of the presenter. Original webcast date: August 12, 2021

Learning Objectives:

  • Compute standardized/unstandardized effect sizes for categorical/numeric predictors and synthesize visual and statistical information.
  • Describe the ethics of exploratory versus confirmatory research and identify how to combine the two in a cumulative research program.
  • Visually critique statistical models and identify outliers, nonlinearity, heteroscedasticity, etc.

Presenter

Dustin A. Fife, PhD

Dr. Fife is an assistant professor at Rowan University. He got his PhD in Quantitative Psychology from the University of Oklahoma in 2013. His research focuses on developing visualization tools for complex analyses, as well as developing tools for statistical pedagogy.

Continuing Education

Credits:
2.5 CE
Level:
Any
Production Date:
08/12/2021

Options

Price: $75.00

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