**Courses and Workshop Materials**

**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