UniSA Online Workshop Series
Design/Analysis of Experiments
November 20 | 9:00 AM – 1:00 PM ACDT
Design/Analysis of Experiments
Dr. Ron Landis
Clemson University
Workshop Overview
This 4-hour work shop has two primary objectives: (1) to explain the fundamentals of experimental design and options provided for data collection, and (2) to cover common statistical analyses (i.e., ANOVA and regression) of experimental data. We will discuss design options in the context of relevant examples from management with emphasis on strengths and weaknesses of different approaches. We will similarly analyze example data with emphasis on setting up, running, interpreting, and presenting results. All analyses will be done using R Studio and all code will be made available during the session.
Meet the Presenter
I have a PhD in industrial and organizational (I/O) psychology and more than 30 years of providing consulting to organizations, conducting research, teaching, and providing expert witness support in the areas of data analytics and measurement development. I have particular expertise in statistical techniques such as structural equation modeling, multiple linear regression, logistic models, natural language processing, multi-level modeling, confirmatory and exploratory factor analysis, cluster analysis, machine learning, and advanced simulation work. I am excited about the opportunities to help companies maximize the use of their people data with particular emphasis on how to best collect and manage data, conduct appropriate analyses, and to draw the most accurate inferences. My current work has centered around the creation of R Shiny apps and/or Power BI dashboards to help leaders visualize their data simply and clearly to assist with driving optimal decisions. My work has been cited more than 5,000 times in scientific publications and I have been named as a Fellow of the Society for Industrial and Organizational Psychology (SIOP) and the American Psychological Association (APA).
