Live online course on both foundational and intermediate topics in dynamic structural equation modeling (DSEM).

Live online course on the Delphi Method—an iterative, anonymous process for gathering expert input and developing consensus.

Live online course on studying emotions and sentiment in text, images, and video using transformer AI models within R.

Live online course on AI tools for data analysis using ChatGPT & Claude. Learn data cleaning, visualization, and AI-assisted workflows.

Learn how latent class analysis can uncover hidden subgroups and select optimal models in this online seminar with Stephanie Lanza, Ph.D., and Bethany Bray, Ph.D.

In this blog post, Charles Crabtree shows how researchers can use AI agents to create online dashboards for sharing and exploring research.

Sean Grant discusses common questions about the Delphi method, including study design, panel size, consensus, stability, and feedback.

Live online Python for R users course covering Python fundamentals, machine learning libraries, and workflows with AI coding assistants.

Live online course on AI agent workflows. Build agent-ready workspaces, create reusable workflows, and automate research tasks.

Self-paced online exploratory factor analysis course covering model specification, fit, and evaluation, factor rotation, and scale development.

Live online SAS to R course for researchers who want to transition to R. Learn R for statistics, data analysis, and visualization.

Live online course on randomized trials and experimental studies. Learn data analysis for RCTs, including regression, ANOVA, and survival analysis.

This online seminar by Hudson Golino, Ph.D. focuses on using large language transformer models (LLMs) in R to analyze and extract insights from text data.

Live online Stata to R course. Learn syntax, data management, visualization & perform descriptive, bivariate, and multivariate analyses in R.

Live online course on how AI agents can be used to improve teaching, strengthen assessment, and create more engaging learning environments.

Live online course on estimating causal effects with machine learning. Learn about cause-effect relations in non-experimental data.

Live online course covering multilevel & mixed models using LLMs like Claude and R. Learn hierarchical regression for mixed and random-effects models.

Self-paced online survival analysis course covering both the theory and practice of statistical methods for event-time data.

Live online course on using AI to turn documents into structured data with codebooks, extraction workflows, and reliability checks.

In this blog post, Charles Crabtree explains what AI agent skills are and how researchers can create and use them to build more effective AI workflows.

Live online automatic item generation & validation course using LLMs in R. Build questionnaire scales with AI-GENIE workflows & network psychometrics.

Live online course on using Claude in academic research as a systematic partner for ideation, data collection, and analysis.

Live online course on AI audit and correspondence experiments. Learn design control, information equivalence, treatment delivery, and credible inference.

Live online course on spatial analysis of health data. Learn to work with spatial data, visualize patterns & build spatial regression models.

Live online course on longitudinal data analysis in R with LLM support such as Claude. Learn to analyze panel data and repeated-measures data.

Live online AI agent-driven research course on ways to use multiple AI tools together to reduce low-value work while avoiding hidden errors.

This live online course taught by Ashely Naimi, Ph.D., focuses on how to use experimental principles to design & analyze Monte Carlo simulation studies.

Live online course on AI tools for data analysis using ChatGPT & Claude. Learn data cleaning, visualization, and AI-assisted workflows.

Live online Psychometrics course. Learn latent variables, exploratory & confirmatory factor analysis, & MIMIC models.

Live online course on directed acyclic graphs (DAGs) for causal inference. Uncover causal relationships in non-experimental data.

A global conversation series on what happens when researchers work with AI.

Live online course on machine learning methods like cross-validation, model evaluation, variable selection, and others.

Live online AI experimental design course using LLMs to design, run & analyze experiments. Learn prompt engineering, chatbot studies & validation.

Online on-demand course on advanced SEM methods, instrumental variables, group comparisons, and longitudinal models.

A global conversation series on what happens when researchers work with AI.

Live online course introducing structural equation modeling with binary and ordinal outcomes using Mplus and lavaan (a package for R).

Live LLMs for research course will introduce you to LLMs like ChatGPT, Claude, Gemini, DeepSeek, and Llama, as well as prompt engineering.

Live online Python for data analysis course for researchers to use Python in data science, statistics, regression & machine learning.

A global conversation series on what happens when researchers work with AI.

Live online course on meta-analysis. Learn to compute effect sizes, fit fixed & random-effects models, & run moderator/meta-regression analyses.

Live online course on difference in differences. Learn to use DiD models for causal inference, treatment effects, and policy evaluation.

Cynthia Rudin’s online Distinguished Speaker seminar explores interpretable machine learning, from visualization to neural networks.

Live online course on AI tools for data analysis using ChatGPT and Claude. Learn data cleaning, visualization, dashboards, and AI-assisted workflows.

Charles Crabtree explains how AI can support experimental design, from generating treatments and analyzing text to building chatbots & validating materials.

Live online course on sample size justification. Learn to determine how much data you need to collect to answer research questions.

A global conversation series on what happens when researchers work with AI.

Practical live online course on interpretable machine learning with SHAP, LIME, PDPs, and model explainability tools.