Multivariate Statistics
Graduate-level course
Analysis of multivariable data emphasizing unsupervised and supervised learning methods
- Introduction to Multivariate
- Missing Data Analysis
- Gadgets
- Multidimensional Scaling
- Heirarchical Clustering
- K-Means Clustering
- Latent Profile Analysis
- Evauating Predictive Models
- Building Predictive Models
- Multilevel Modeling
- Advanced Multilevel Modeling
- Agent Based Modeling
Industrial and Organizational Psychology
Undergraduate-level course
R based demonstration of common methods used in industrial and organizational research and practice
- Introduction to Industrial and Organizational Psychology
- Scale Validation
- Meta-analysis
- Personality Faking Detection
- Selection
- Adverse Impact Analysis
- Social Network Analysis for Undirected Networks
- Social Network Analysis for Directed Networks
Statistics
Undergraduate-level course
Overview of common inferential tests of hypotheses with accompanying R code
- Central Tendency and Variability
- One-Sample t tests
- Two-Independent samples t test
- One-way ANOVA
- Post Hoc Tests
- Repeated Measures ANOVA
- Two-Way ANOVA
- Correlations
- Linear Regression
- Multiple Regression
Webscraping with Python
Workshop
Overview of how to scrape data from the internet using the Python programming language via the BeautifulSoup library
- Slides
- Python Workbook
Introduction to Bayesian Statistics
Workshop
Introduction to three common concepts used by Bayesian researchers (Bayes Factor, Credibility Intervals, and Sequential Testing). Discusses their intuition and application in organizational research
- Slides