What if AI could do more of your data analysis? See if "AI Tools for Data Analysis: From Chatbots to Coworkers," taught by Boris Nikolaev, is for you with his new interactive webpage.

AI Tools for Data Analysis: from chatbot to coworker

Two fast-paced days of live demonstrations, climbing three levels of delegation (a task, a project, a process) on real data.

ai-tools-for-data-analysis.vercel.app

Build a systematic #AI assisted research workflow in “Claude-Powered Academic Research: From Ideation to Publication” with Jeffrey Dotson, Nov. 19-21. Learn how to use #Claude tools and #GitHub to support ideation, data wrangling, analysis, academic writing, & replicability.

Join "Scale Construction & Development" w/ Deborah Bandalos on Nov. 18-20 to learn how to construct scales that produce accurate & reliable measurements. This seminar will take you from current best practices to exploratory factor analysis & confirmatory factor analysis.

Scale Construction and Development Course | Statistical Horizons

Live online course on scale construction and development, item design, EFA, CFA, reliability, and psychometric scale evaluation.

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Learn structural equation modeling (SEM) for dynamic panel data w/ Paul Allison in “Longitudinal Data Analysis Using #SEM,” a 4-week seminar starting Nov. 16. Get maximum likelihood with SEM (ML-SEM) training using #Mplus, #Stata, SAS, & #Rstats.

Longitudinal Data Analysis with SEM | Online | Statistical Horizons

Self-paced online course on longitudinal data analysis using SEM to estimate dynamic panel models and strengthen causal inference.

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Join @dmcneish.bsky.social for "Dynamic Structural Equation Modeling", Nov. 11-13! Explore DSEM, a cutting-edge framework that utilizes intensive longitudinal data to gain detailed insights into dynamic processes and variability within and between subjects.

Dynamic Structural Equation Modeling | Statistical Horizons

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

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Looking for a systematic approach to understanding expert opinion? Join "Consensus Development using the Delphi Method” with @seangrant.bsky.social, Nov. 11-13. Learn how to plan, implement, and report Delphi studies—plus how to critically appraise their results.

Delphi Method | Online Training | Statistical Horizons

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

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Go beyond basic sentiment analysis in "AI-Based Emotion Analysis for Text, Image, and Video" with @hudsongolino.bsky.social & @atomashevic.bsky.social, Nov. 4 & 6-7. Learn to analyze text, image, and video data in #Rstats, interpret emotion scores, and assess their validity.

Build reliable AI-assisted data analysis workflows in “AI Tools for Data Analysis: From Chatbots to Coworkers” w/ Boris Nikolaev, Oct. 29-30. Learn to clean data, run analyses, create visualizations, and evaluate outputs using today’s #AI tools.

Learn to uncover hidden structures & patterns in your research using "Latent Class Analysis" (LCA) with Drs. Lanza & Bray, Oct. 29-31. Apply LCA to inform theory, guide interventions, support evidence-based decisions, and discover research insights.

Latent Class Analysis | Online Seminar | Statistical Horizons

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.

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Online dashboards can make research easier to explore, share, and understand. On the AI Horizons blog, Charles Crabtree explains how researchers can use #AI agents to build dashboards with less time and effort.

Using AI Agents to Create Online Dashboards | Charles Crabtree

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

aihorizons.io

How many rounds does a Delphi study need? How large should the panel be? In a new blog post, Sean Grant (@seangrant.bsky.social) answers these questions and more, covering consensus, stability, feedback between rounds, and other key Delphi study design decisions.

Frequently Asked Questions About the Delphi Method | Sean Grant

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

statisticalhorizons.com

Statistical Horizons founder and President Paul Allison joins the @quantitude.bsky.social podcast to talk about fixed effects models, longitudinal research, and plenty of unexpected topics along the way. It’s a lively conversation worth a listen.

Already comfortable in #Rstats? "Python for R Users with AI Assistance" w/ Adam D. Rennhoff (Oct. 22-23) shows you how to add #Python to your workflow and tap its strengths in machine learning, deep learning, & big data, with #AI coding support.

How can you delegate work to #AI agents without giving up human judgment? In “Getting Work Done with AI Agents” with @mbosley.bsky.social, Oct. 21–23, learn to organize projects, review agents’ work, and build reusable workflows.

Exploratory Factor Analysis (EFA) w/ @krispreacher.bsky.social starts Oct. 19! Learn the statistical theory of EFA & get hands-on experience factor analyzing data. See how EFA helps pinpoint underlying factors/dimensions explaining variability in observed variables.

Exploratory Factor Analysis Course | Online | Statistical Horizons

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

statisticalhorizons.com

How has statistical programming changed in the #AI era? In Paul Allison's FREE 1-hour talk, "Vibe Coding Then and Now," Sept. 30, he compares human and AI-assisted coding. Learn why careful checking and human expertise still matter. Register now: stathorizons.eventsmart.com/events/vibe-....

Are you a SAS user who wants to learn #Rstats? Join Melinda Higgins for "R for SAS Users" (Oct. 16-17) to develop a working understanding of the R language, its open-source ecosystem, & key differences between SAS & R.

SAS to R Course | Online Training | Statistical Horizons

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

statisticalhorizons.com

Gain a practical foundation for analyzing trial data in "Applied Data Analysis for Randomized Trials and Experimental Studies" with Marcella Boynton, Oct. 7-9. Learn to choose, conduct, and interpret statistical analyses of experimental data.

Randomized Trials Data Analysis | Online Training | Statistical Horizons

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

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Learn to use natural language processing ( #NLP) techniques & large language transformer models ( #LLMs) for research applications. Join "Text Classification with LLMs in R" w/ @hudsongolino.bsky.social on Oct. 7-9.

Already know #Stata but ready to learn #Rstats? Join Andrew Miles for "R for Stata Users" on October 1-2. Build on the skills you already have as you learn how R “thinks,” practice familiar data analysis tasks in R, and develop the foundation to keep using R independently.

Stata to R Course | Online Training | Statistical Horizons

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

statisticalhorizons.com

Build practical, course-ready tools in "AI Agents for Teaching" with Charles Crabtree, Sept. 24-26. Redesign assignments, improve grading and feedback, and create transparent #AI workflows that keep instructor judgment central.

Join "Machine Learning for Estimating Causal Effects" w/ @ashleynaimi.bsky.social on Sept. 24-26. Learn to use cutting-edge "double-robust" #machinelearning methods to estimate treatment effects, minimize biases, & avoid problems like the “curse of dimensionality.”

Machine Learning for Causal Effects | Statistical Horizons

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

statisticalhorizons.com

Get an intensive intro to multilevel models in “Multilevel and Mixed Models Using R and LLMs” with @stephenvaisey.com, Sept. 16-18. Learn the (real) difference b/w fixed & random effects, how to combine both in a single model using #Rstats, and how #LLMs can support your workflow.

Learn to analyze event-time data in "Survival Analysis", taught on-demand by Dr. Paul Allison starting Sept. 14. This 4-week self-paced course will cover topics like censoring, Kaplan-Meier estimation, Cox regression, discrete-time methods, competing risks, and repeated events.

Survival Analysis | Online Training | Statistical Horizons

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

statisticalhorizons.com

Don't craft your data—craft your codebook, then mint your data. In "Turn Documents into Data with AI" (@karlrohe.bsky.social, Sept. 10–12), you'll draft a codebook with #AI, deploy 3 independent AI readers, use their disagreements to refine it, and leave with a dataset you can defend.

Skills are one of the simplest ways to tailor AI agents to your work. On the AI Horizons blog, Charles Crabtree explains what AI agent skills are, how they support consistent research workflows, and where to find examples you can try.

AI Agent Skills: What They Are & Why Use Them | Charles Crabtree

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.

aihorizons.io

Move beyond basic #AI prompting with the AI for Research Workflows and Agents Certification. This 4-seminar program builds practical skills for collaborating with #LLMs and #AIagents, managing complex research workflows, and keeping human judgment central. aihorizons.io/resources/ai...

Join "Automatic Item Generation & Validation: A Network Integrated Approach using #LLMs in #Rstats" on Aug. 20-21 with @hudsongolino.bsky.social. Learn how to use #AI to create and validate questionnaires and scales.

Back by popular demand! Build a systematic #AI assisted research workflow in “Claude-Powered Academic Research: From Ideation to Publication” w/ Jeffrey Dotson, Aug. 18-21. Use #Claude tools & #GitHub to support ideation, data wrangling, analysis, academic writing, & replicability.

Learn to use #AI agents in audit and correspondence #experiments without losing design control. In “AI-Enhanced Audit and Correspondence Experiments,” Aug. 18-21, Charles Crabtree covers signal control, treatment delivery, validation, and transparent documentation.