Best Practices in Open Science Data Analysis: Ethics, Visualization, and Estimation: WS403

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.

Webinars are converted to video on-demand programs with closed captioning after the live air date

• 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.

Dustin A. Fife, PhD