Statistical Horizons

Statistical Horizons offers expert-led online training in statistics and research methods; AI Horizons extends that mission into practical AI for researchers.

[Statistical Horizons @StatHorizons]

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

https://t.co/R1LMOzy6mZ

[Statistical Horizons @StatHorizons]

Build a systematic #AI assisted research workflow in “Claude-Powered Academic Research: From Ideation to Publication” with @jdotson77, Nov. 19-21. Learn how to use #Claude tools and #GitHub to support ideation, data wrangling, analysis, academic writing, & replicability.

https://t.co/mlG0z15GPy

[Statistical Horizons @StatHorizons]

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.

https://t.co/MzL8vtqF5N

[Statistical Horizons @StatHorizons]

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.

https://t.co/XKyCIYq1up

[Statistical Horizons @StatHorizons]

Join @dmcneish18 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.

https://t.co/hhaAtg4ew6

[Statistical Horizons @StatHorizons]

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

https://t.co/sqFq71rQv0

[Aleksandar Tomasevic @atomasevic]

Join @GolinoHudson and me for our @StatHorizons course "AI-Based Emotion Analysis for Text, Image, and Video", Nov. 4 & 6–7!

We'll showcase new features of the transforEmotion #RStats package and work with you on evaluating and validating multimodal models on public datasets.

https://t.co/INduoZGwtM

[Statistical Horizons @StatHorizons]

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

https://t.co/j2OoezKIIa

[Statistical Horizons @StatHorizons]

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

https://t.co/VBE9HkrVRN

[Statistical Horizons @StatHorizons]

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.

https://t.co/PWWjo3oTGo

[Statistical Horizons @StatHorizons]

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.

https://t.co/6M9Tydh3P2

[Statistical Horizons @StatHorizons]

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

https://t.co/OyWqU3hkx8

[Statistical Horizons @StatHorizons]

Statistical Horizons founder and President Paul Allison joins the @quantitudepod 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. https://t.co/xAmoroTUM1

[Statistical Horizons @StatHorizons]

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.

https://t.co/ElwAnY9eqv

[Statistical Horizons @StatHorizons]

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

https://t.co/Od3MHXJ0Ap

[Statistical Horizons @StatHorizons]

Exploratory Factor Analysis (EFA) w/ @KristopherJPre1 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.

https://t.co/NxCrpP8yav

[Statistical Horizons @StatHorizons]

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: https://t.co/5pmH3ZBBSX

[Statistical Horizons @StatHorizons]

Are you a SAS user who wants to learn #Rstats? Join @mhiggins2000 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.

https://t.co/tnKXQRJSHw

[Statistical Horizons @StatHorizons]

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

https://t.co/zwYB8sbpYa