Lecture slides, example Stata and R code, and other resources available via the links below

Workshops

 - Data & Model Visualization

       - Data Management and Other Fundamentals for Efficient and Reproducible Research

- Interaction Effects: Advanced Topics

       - Missing Data: Purdue AMAP        

       - Stata Programming—Tools and Tricks for the Applied Analyst:

       - Survey Design

       - Survey Experiments

- Teaching Workshops & Methods Courses

Statistical/Code Horizons Courses

- Categorical Data Analysis: Statistical Horizons Seminar (next offering July 2023)

- Data Visualization Using Stata: Code Horizons Seminar (next offering August 2023)

- Missing Data Using Stata: Statistical Horizons Seminar (coming soon)

- Programming with Stata: Code Horizons Seminar (coming soon)

Graduate Courses

       - Categorical Data Analysis: Purdue SOC 681

• • • • Jump to the lecture slides for a topic via the link below:

        • Introduction and overview of linear regression

        • Nonlinear effects in linear regression

        • Models for count dependent variables

        • Zero-inflated count models

        • Models for binary dependent variables

        • Hypothesis testing, model fit, and model diagnostics

        • Interaction effects and cross-model comparisons of effects

        • Models for nominal dependent variables

        • Models for ordinal dependent variables

        • Bonus hodgepodge: three-way interactions, robust SEs, fractional response models, visualizing distributions, visualizing intersectional effects, etc.

       - Experimental Design: Purdue SOC 609 

• • • • Jump to the lecture slides for a topic via the link below:

        • Causality

        • Internal and external validity

        • Ethics and deception

        • Lab experiments

        • Survey experiments

        • Sampling

        • Social desirability

        • Power analysis

        • Audit studies

        • Factorial experiments

        • Conjoint experiments

        • Field and natural experiments

        • Analyzing experimental data

        • Writing about experiments

       - Latent Variable Modeling: Purdue SOC 609

• • • • Jump to the lecture slides for a topic via the link below:

        • Introduction to latent variables

        • Summated scales

        • Principal components analysis (PCA) and exploratory factor analysis (EFA)

        • Confirmatory factor analysis (CFA)

        • Item response theory (IRT) and nonlinear factor analysis (NLFA)

        • Latent class analysis (LCA) and latent profile analysis (LPA)

        • Structural equation modeling (SEM)

        • Measurement invariance (MI) and differential item functioning (DIF)

  - Social Psychology: Purdue SOC 609

• Jump to the lecture slides for a topic via the link below:

  • Theory Building

  • Symbolic Interactionism

  • Identity Theory

  • Social Identity Theory

  • Group Position Model

  • Exchange Theory

  • Status Characteristics Theory

  • Stereotyping and Cognition

  • Stigma and Bias

  • Emotions

  • Affect Control Theory

  • Cooperation

Undergraduate Courses

- Social Psychology: Purdue SOC 340

• Topics covered include: Theory, Methods, Symbolic Interactionism, The Self, Social Roles, Identity  Theory, Social Identity  Theory, Group Position Model, Small Groups, Status, Status Beliefs, Status Construction, Status Interventions, Well-Being, Stereotypes, Cognition, Bias, Attitude Change, Emotions, Affect, Cooperation

Miscellaneous 

- ASA Data Visualization Workshop: Flexible Approaches for Assessing and Modeling Nonlinearities

- Linear Regression / Introduction to Quantitative Data Analysis: Indiana University

- Making Predictions that Match Causal Questions

- Visualizing Interaction Effects - HDFS Colloquium: Purdue