Advanced Data Analytics for Industrial/Organizational Psychology Professionals I

Catalog description

Credits 3. 3 Lecture Hours. Explore foundational quantitative methods essential for industrial-organizational psychology. Gain practical skills in designing studies, selecting appropriate statistical techniques and interpreting data to address workplace challenges. Learn to apply methods such as hierarchical regression and ANCOVA in applied settings. Develop proficiency in data cleaning, outlier detection and handling missing data — including advanced techniques like multiple imputation. Build fluency in frequently used statistical software packages and data visualization platforms. Prerequisites: Graduate classification or approval of instructor.