Strengthen your statistical toolkit with our online Regression with ChatGPT & Stata workshop, designed for PhD students, academic researchers, and professionals who want a clear, hands-on introduction to one of the most essential methods in social science research. This beginner-friendly seminar combines the fundamentals of OLS regression with practical Stata training and AI-assisted learning, showing you how to write Stata code, interpret results, troubleshoot issues, and deepen your understanding with ChatGPT. Topics include key statistical concepts, hypothesis testing, confidence intervals, predictions, multivariate regression, dummy variables, standardization, and more. No prior experience with Stata or ChatGPT is required, and participants receive access to recordings, slides, datasets, code, and a monitored seminar forum for 30 days after the seminar, plus an official Instats certificate of completion. Whether you are learning regression for the first time or refreshing your skills, this workshop provides an accessible and practical foundation for more advanced statistical analysis. #SocialSciences #Statisticalmodellingandregression #StatisticsEducation #SurveyStatistics #Education #DataScience #Statistics #ComputerScience #SocialTheory #Stata #Research #ResearchTraining #Instats

Advance your regression toolkit in this advanced workshop — the second in a three-part series — designed for PhD students and researchers who have completed the introductory seminar (or have equivalent experience). You’ll deepen your understanding of interaction effects, diagnostics and assumptions, curvilinear relationships, logistic models (binary, multinomial, ordered), data refinement (weighting, scales, distributions) and strategies for missing data including multiple imputation, while using ChatGPT as a hands-on learning assistant for model building, troubleshooting Stata code, and interpreting results. The course is taught live via Zoom with take-home challenges; all recordings, materials and a monitored seminar forum are available for 30 days after the event, and an Instats certificate (with ECTS-equivalent points for European students) is provided on completion. Participants should have access to Stata (a ChatGPT account is recommended); workshops can be taken individually or as part of the full “Using ChatGPT with Stata” course (automatic 10% discount when purchasing two or more seminars). #SocialSciences #Statisticalmodellingandregression #Statistics #StatisticsEducation #SurveyStatistics #ComputerScience #Education #DataScience #SoftwareEngineering #Stata #Research #ResearchTraining #Instats

Join Bert Weijters of Ghent University for an online Instats workshop on multi-proxy experiments, designed for PhD students, postdoctoral researchers, and professional academics who want to move beyond fragile single-stimulus designs and make stronger, more generalizable claims from experimental research. The seminar shows how to treat stimuli such as words, brands, faces, behaviors, or messages as sampled proxies rather than fixed exemplars, and guides participants through a complete reproducible workflow in R: generating and pretesting a proxy pool, structuring two-level data, merging pretest and participant-level information, fitting crossed random-effects models with random treatment slopes in lme4, interpreting coding and centering decisions, visualizing cross-level interactions, handling convergence issues, and using simulation-based power analysis. Participants will leave with annotated scripts, simulated datasets, and a workflow cheat sheet to support publication-ready reporting and more defensible research designs. The seminar is especially relevant for researchers in psychology, applied linguistics, marketing, consumer research, organizational research, sustainability studies, and related fields. Livestream participation is available via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days afterward, plus an official Instats certificate of completion. #AppliedLinguistics #AppliedResearch #CognitivePsychology #ConsumerResearch #Marketing #OrganisationalPsychology #ResearchMethods #SocialPsychology #SurveyStatistics #Sustainability #SoftwareEngineering #DataScience #Psychology #Statistics #R #RStudio #Research #ResearchTraining #Instats

Join us for the Washington Statistical Society Roger Herriot Award Seminar on applying tree-based models to the persistent challenge of survey nonresponse in official statistics. Designed for PhD students and professional researchers, this online seminar draws on real U.S. Bureau of Labor Statistics use cases to demonstrate how recursive partitioning methods and the rpms R package can be used to analyze response and retention rates, assess nonresponse bias and response burden, and support nonresponse adjustment through imputation and model-assisted estimation—all within complex survey designs and with attention to design-consistent inference. Taught live via Zoom with interactive exercises and challenges, the seminar also includes 30-day access to recordings and materials, a monitored discussion forum, office hours for participants in challenging time zones, and an official Instats certificate of completion. For additional information, please contact Pushpal Mukhopadhyay, WSS Methodology Section Chair, at pushpalm@gmail.com. #MachineLearning #SurveyStatistics #DataScience #Statistics #Research #ResearchTraining #Instats

Take your regression skills further with this advanced online workshop for PhD students and professional researchers: Advanced Regression with ChatGPT & Stata. Building on introductory regression foundations, this seminar helps you develop confidence with more complex modeling challenges, including interaction effects, diagnostics and assumptions, curvilinear relationships, logistic regression, data refinement, weighting, scale construction, missing data, and multiple imputation. A key feature of the workshop is the continued use of ChatGPT as a learning assistant, helping you explore modeling strategies, troubleshoot Stata commands, clarify concepts, and interpret results in a practical, future-ready research workflow. Designed for participants with prior regression knowledge, the seminar includes step-by-step Stata guidance, take-home skill challenges, access to recordings and materials for 30 days, instructor-supported discussion, and an official Instats certificate of completion. The workshop can be taken individually or as part of the Using ChatGPT with Stata course, with a 10% discount when registering for two or more seminars. #SocialSciences #Statisticalmodellingandregression #Statistics #StatisticsEducation #SurveyStatistics #ComputerScience #Education #DataScience #SoftwareEngineering #Economics #Stata #Research #ResearchTraining #Instats

Vous souhaitez mieux comprendre comment mesurer et analyser la diversité sexuelle et de genre dans les données publiques canadiennes? Ce séminaire en ligne, destiné aux doctorant·e·s et aux chercheur·euse·s professionnel·le·s, présentera les normes et questions de Statistique Canada sur le genre, le sexe à la naissance et l’orientation sexuelle, ainsi que les développements récents liés à la collecte de données sur les populations 2SLGBTQ+. La séance, offerte en français avec diapositives et notes en français et en anglais, abordera des exemples d’analyses comparatives entre les sexes plus (ACS Plus), les défis et possibilités liés aux données d’enquête, ainsi que les méthodes permettant d’identifier des sous-groupes sous-représentés ou invisibilisés. Les participant·e·s apprendront à concevoir des mesures inclusives de l’intersectionnalité, à interpréter les écarts sociodémographiques et socioéconomiques, et à définir des objectifs transparents pour la collecte de données d’auto-identification en contexte EDI. Le séminaire est offert en direct sur Zoom, avec accès aux enregistrements, au matériel et à un forum de questions-réponses pendant 30 jours, ainsi qu’un certificat officiel de réussite Instats. #SocialSciences #Statistics #SurveyStatistics #PublicPolicy #Sociology #Demography #DataScience #Education #PublicHealth #Research #ResearchTraining #Instats

Join our online workshop on Multilevel Modeling with Stata and ChatGPT, designed for PhD students, professional researchers, graduate students, and analysts who are familiar with basic regression and ready to work with nested or clustered data such as individuals within households, patients within hospitals, or respondents within countries. This practical seminar introduces key concepts including empty models, intraclass correlation (ICC), random intercept and random slope models, Level-2 predictors, cross-level interactions, and applied extensions such as logistic multilevel models, three-level models, cross-classified structures, weighting, time, outliers, and post-estimation tools. A distinctive feature of the workshop is the integration of ChatGPT as a learning assistant to help clarify concepts, generate and refine Stata commands, troubleshoot issues, and explore alternative modeling strategies. The seminar can be taken individually or as part of the Using ChatGPT with Stata course, with a 10% automatic discount when purchasing two or more workshops. Livestream sessions are held via Zoom, with recordings, materials, data, and a monitored Q&A forum available for 30 days afterward, plus an official Instats certificate of completion. #SocialSciences #Statistics #StatisticsEducation #SurveyStatistics #ComputerScience #DataScience #Psychology #Stata #Research #ResearchTraining #Instats

How confident are your experimental findings when they depend on a single word, brand, face, message, or behavioral example? Join our online seminar on multi-proxy experiments with Bert Weijters of Ghent University to learn how to design studies that make stronger, more generalizable claims by treating stimuli as samples rather than fixed exemplars. Designed for PhD students, postdoctoral researchers, and professional academics working with experimental, survey, or mixed data, this workshop combines conceptual foundations with a complete R-based workflow covering proxy pool generation, pretesting, data structuring, crossed random-effects models, coding and centering decisions, cross-level interactions, bootstrapped uncertainty estimates, convergence diagnostics, and simulation-based power analysis. Participants will work through a simulated multi-proxy study and leave with annotated scripts, datasets, and a workflow cheat sheet for reproducible, publication-ready implementation. The seminar is especially relevant for researchers in psychology, applied linguistics, marketing, consumer research, organizational studies, sustainability research, and related fields. Live sessions are delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days afterward, plus an official Instats certificate of completion. #AppliedLinguistics #AppliedResearch #CognitivePsychology #ConsumerResearch #Marketing #OrganisationalPsychology #ResearchMethods #SocialPsychology #SurveyStatistics #Sustainability #SoftwareEngineering #DataScience #Psychology #Statistics #Education #R #RStudio #Research #ResearchTraining #Instats

Join us for an online seminar designed for PhD students and professional researchers exploring the accuracy of design-based and model-based estimation in “all or nothing” data settings. The seminar compares these two core paradigms in modern survey inference, small-area estimation, and applied statistical modeling, with a particular focus on tax applications where an expenditure either fully qualifies for a deduction or credit or does not qualify at all. Participants will review the theoretical foundations of model-based estimation in this context and see simulation evidence comparing its performance with common design-based alternatives, including the Mean Per Unit (MPU) / Horvitz-Thompson estimator and the difference estimator (DIFF). Offered via Zoom, the seminar is available live or asynchronously, with recordings, slides, data, program input, and output accessible online for 30 days after the session concludes or after on-demand enrolment is activated. #Statisticalmodellingandregression #Statistics #SurveyStatistics #Economics #Mathematics #DataScience #Research #ResearchTraining #Instats

Join Holmes Finch for an online seminar designed for PhD students and professional researchers who use item response theory in educational, psychological, health, or survey research. This workshop focuses on IRT models for cases where the latent trait does not follow the standard normality assumption, including skewed, heavy-tailed, or otherwise misspecified distributions that can affect item parameter recovery, person scores, scale interpretation, and substantive conclusions. Participants will learn how to diagnose departures from normality, specify and estimate IRT models with non-normal latent traits, compare estimation strategies, interpret results under alternative distributional assumptions, and implement analyses in R and RStudio within a reproducible workflow. The seminar combines conceptual foundations with applied guidance, helping researchers make stronger modelling decisions for dissertations, grant proposals, collaborative projects, and journal submissions. Livestreaming seminars are delivered via Zoom, with recordings and materials available for 30 days afterward, along with access to a monitored Q&A forum and an official Instats certificate of completion. #Psychometrics #Statistics #SurveyStatistics #Education #Psychology #R #RStudio #Research #ResearchTraining #Instats

Join our upcoming online seminar designed for PhD students and professional researchers to explore calibration weighting as a Bregman projection: a unified framework for integrating auxiliary information into survey estimation and reducing selection bias. The seminar will show how working directly in weight space with Bregman divergence reveals a primal–dual symmetry between weights and multipliers, connects calibration to debiased prediction estimators with efficiency tuning, and extends to bounded weights, doubly robust estimation, high-dimensional covariates, and regularized calibration. Participants will learn how to explain the role of calibration weighting in survey estimation, interpret calibration through Bregman projections, and identify modern extensions for complex research settings. Delivered online via Zoom, the seminar includes take-home skill challenges, 30-day access to recordings and materials, a monitored discussion forum, and an official Instats certificate of completion, with ECTS Equivalent points available for European students. #SurveyStatistics #Mathematics #Statistics #DataScience #Research #ResearchTraining #Instats

Join us for an online seminar with Holmes Finch on item response theory models when the latent trait does not follow the standard normality assumption — a common challenge in educational, psychological, health, and survey research. Designed for PhD students and professional researchers, this workshop will explore how skewed, heavy-tailed, or otherwise misspecified latent distributions can affect item parameters, person scores, scale interpretation, and substantive conclusions, while showing how to diagnose these issues and implement more appropriate IRT models in R and RStudio. Participants will gain practical strategies for selecting estimation approaches, interpreting results under non-normality, and clearly justifying modelling decisions in dissertations, grant proposals, and journal manuscripts. The seminar is available via Zoom, with recordings, slides, data, code, and other materials accessible for 30 days after the seminar, along with a monitored Q&A forum and an official Instats certificate of completion. #Psychometrics #Statistics #SurveyStatistics #Education #Psychology #R #RStudio #Research #ResearchTraining #Instats

Join us for the Washington Statistical Society Roger Herriot Award Seminar, an online seminar for PhD students and professional researchers on using tree-based models to analyze and mitigate survey nonresponse in complex official statistics programs. Drawing on applied examples from the U.S. Bureau of Labor Statistics, the seminar introduces the rpms R package (Recursive Partitioning for Modeling Survey Data) and shows how recursive partitioning can be used to study response and retention rates, assess nonresponse bias and response burden, and support nonresponse adjustment through imputation and model-assisted estimation with design-consistent inference. Taught live via Zoom, the seminar includes regular exercises, interactive challenges, access to recordings and materials for 30 days, monitored discussion forums, office hours for participants in challenging time zones, and an official Instats certificate of completion. For additional information, please contact Pushpal Mukhopadhyay, WSS Methodology Section Chair, at pushpalm@gmail.com. #MachineLearning #SurveyStatistics #DataScience #Statistics #Research #ResearchTraining #Instats

Join us for an online seminar with Holmes Finch on item response theory models for non-normal latent trait distributions, designed for PhD students and professional researchers working in psychometrics, educational psychology, health, survey research, and related fields. The workshop explores what happens when the standard normality assumption does not hold, including the effects of skewed, heavy-tailed, or misspecified latent distributions on item parameters, person scores, scale interpretation, and substantive conclusions. Participants will learn how to diagnose distributional departures, specify and fit IRT models that accommodate non-normal latent traits, compare estimation strategies, interpret results, and implement analyses in R and RStudio using a reproducible workflow. With a focus on both methodological rigor and practical communication, the seminar will help researchers justify analytic assumptions, strengthen dissertation and manuscript analyses, and make defensible measurement decisions for publication and peer review. The seminar is available via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days, and participants receive an official Instats certificate of completion. #Psychometrics #Statistics #SurveyStatistics #Education #Psychology #R #RStudio #Research #ResearchTraining #Instats

Rejoignez-nous pour un séminaire en ligne destiné aux doctorant·e·s et aux chercheur·euse·s professionnel·le·s consacré à la mesure et à l’analyse des populations 2SLGBTQ+ au Canada à partir des données de Statistique Canada. Cette présentation, offerte en français avec diapositives et notes en français et en anglais, abordera les normes et questions utilisées pour recueillir des données sur le genre, le sexe à la naissance et l’orientation sexuelle, notamment dans le contexte du Recensement de 2026, qui inclura pour la première fois une question sur l’orientation sexuelle. Les participant·e·s découvriront des données récentes, des exemples d’analyses comparatives entre les sexes plus (ACS Plus), ainsi que les principaux défis et possibilités liés à l’utilisation des données d’enquête pour étudier les populations 2SLGBTQ+ de manière inclusive et intersectionnelle. Le séminaire se déroulera en direct sur Zoom, avec accès aux enregistrements, aux documents et à un forum de questions-réponses pendant 30 jours, et un certificat officiel de réussite Instats sera remis à la fin de la formation. #SocialSciences #Statistics #SurveyStatistics #PublicPolicy #Sociology #Demography #DataScience #Education #PublicHealth #Research #ResearchTraining #Instats

Ready to take your regression skills further with Stata and AI? This advanced online workshop, Advanced Regression with ChatGPT & Stata, is designed for PhD students, professional researchers, and applied analysts who already have foundational regression knowledge and want to build confidence with more complex modeling challenges. As the second seminar in the Using ChatGPT with Stata series, it explores interaction effects, diagnostics and assumptions, curvilinear relationships, logistic regression models, data refinement, weighting, scale construction, missing data strategies, and multiple imputation. A key feature is the continued integration of ChatGPT as a practical learning assistant to help clarify concepts, explore modeling options, troubleshoot Stata commands, and support interpretation. Taught via Zoom with step-by-step Stata guidance, take-home skill challenges, 30-day access to recordings and materials, an instructor-monitored forum, and an official Instats certificate of completion, this workshop is ideal for researchers who want to understand not only how to run advanced models, but why and when to use them. #SocialSciences #Statisticalmodellingandregression #Statistics #StatisticsEducation #SurveyStatistics #ComputerScience #Education #DataScience #SoftwareEngineering #Economics #Stata #Research #ResearchTraining #Instats

Ready to move beyond standard regression and model hierarchical data with confidence? Join our online workshop on Multilevel Modeling with Stata and ChatGPT, designed for PhD students, professional researchers, graduate students, and analysts working with nested or clustered data such as individuals within households, patients within hospitals, or respondents within countries. This practical seminar introduces key concepts including empty models, ICC, random intercepts, Level-2 predictors, random slopes, cross-level interactions, and extensions such as logistic, three-level, and cross-classified models. A distinctive feature of the workshop is the integration of ChatGPT as a learning assistant to help clarify concepts, generate and refine Stata commands, troubleshoot issues, and support deeper understanding throughout the modeling process. Participants should be familiar with basic regression and descriptive statistics, have access to Stata, and are encouraged to use a ChatGPT account. The seminar is offered live via Zoom, with recordings, slides, data, code, and a monitored Q&A forum available for 30 days afterward, plus an official Instats certificate of completion. This workshop can be taken individually or as part of the full Using ChatGPT with Stata course, with a 10% automatic discount when purchasing two or more workshops. #SocialSciences #Statistics #StatisticsEducation #SurveyStatistics #ComputerScience #DataScience #Psychology #Stata #Research #ResearchTraining #Instats

Join us for an online seminar designed for PhD students and professional researchers interested in survey inference, tax modeling, and applied statistical methods. This session compares the accuracy of design-based and model-based estimation in “all or nothing” data settings, where an observed expenditure either fully qualifies toward a target outcome or does not qualify at all. The seminar will review the theoretical foundations of model-based estimation in this context and present simulations comparing its performance with common design-based alternatives, including the Mean Per Unit (MPU) or Horvitz-Thompson estimator and the difference estimator (DIFF). Participants will gain insight into the assumptions, trade-offs, and practical implications of these approaches for rigorous empirical research and policy analysis. The seminar will be livestreamed via Zoom, and recordings and materials, including slides, code, output, and data, will be available online for 30 days after the session for both live and asynchronous participants. #Statisticalmodellingandregression #Statistics #SurveyStatistics #Economics #Mathematics #DataScience #Research #ResearchTraining #Instats

Ready to move beyond standard regression and model data with nested or clustered structures? Join our online workshop on multilevel modeling with Stata and ChatGPT, designed for PhD students, professional researchers, graduate students, and analysts who already know the basics of regression and descriptive statistics. This practical seminar introduces key concepts such as empty models, intraclass correlation (ICC), random intercepts, Level-2 predictors, random slopes, cross-level interactions, and extensions including logistic, three-level, and cross-classified models. A distinctive feature of the workshop is the integration of ChatGPT as a learning assistant: participants will use AI to clarify concepts, refine Stata commands, troubleshoot issues, and explore alternative modeling strategies. Offered via Zoom with 30-day access to recordings, materials, and a monitored Q&A forum, the seminar supports both live and asynchronous learning and includes an official Instats certificate of completion. #SocialSciences #Statistics #StatisticsEducation #SurveyStatistics #ComputerScience #DataScience #Stata #Research #ResearchTraining #Instats

PhD students and researchers: boost your statistical skills with our "Regression (with ChatGPT & Stata)" workshop—an accessible, hands-on introduction to OLS regression that combines traditional methods with AI-powered assistance. You’ll learn core concepts (sampling distributions, OLS mechanics, standard errors, hypothesis testing, predictions), multivariate models, dummy variables, and how to use ChatGPT to write Stata code and help interpret output; no prior Stata or ChatGPT experience required (Stata access and a ChatGPT account recommended). Delivered live via Zoom with practical exercises, take-home challenges, and all recordings/materials available for 30 days, the seminar includes an Instats certificate of completion (ECTS-equivalent for European students) and is the first of a three-part series (10% discount when purchasing two or more). Spaces are limited—register now to master regression for your research. #SocialSciences #Statisticalmodellingandregression #StatisticsEducation #SurveyStatistics #Education #DataScience #Statistics #ComputerScience #SocialTheory #Stata #Research #ResearchTraining #Instats

Séminaire en ligne (présentation en français) destiné aux doctorant·e·s et chercheur·e·s professionnels·les : nous aborderons les normes et questions de Statistique Canada sur le genre, le sexe à la naissance et l'orientation sexuelle, le contexte légal et la nouveauté du Recensement 2026 (incluant pour la première fois une question sur l'orientation sexuelle), ainsi que des données sélectionnées, des exemples d'analyses comparatives entre les sexes plus (ACS Plus), et les défis et opportunités liés à l'étude des populations 2SLGBTQ+. Vous apprendrez à élaborer des mesures inclusives et comparables pour l'intersectionnalité, à interpréter l'âge et les marges socioéconomiques dans la visualisation des écarts, à définir des objectifs concrets pour la collecte de données d'auto‑identification en toute transparence dans une optique EDI, et à utiliser des méthodes de sous-groupes pour repérer des populations sous‑représentées et créer des variables de réponse efficaces. Le séminaire est diffusé en direct via Zoom; les enregistrements, diapositives (en français et en anglais), codes et données sont accessibles 30 jours après la session et un forum de Q&R sera assuré par des expert·e·s pendant 30 jours; un certificat officiel Instats est délivré à la fin (points ECTS équivalents pour les étudiants européens lorsqu'indiqués). Inscrivez-vous pour approfondir vos compétences méthodologiques et contribuer à combler les lacunes statistique sur les populations 2SLGBTQ+. #SocialSciences #Statistics #SurveyStatistics #PublicPolicy #Sociology #Demography #DataScience #Education #Research #ResearchTraining #Instats

Join our seminar on "Calibration weighting as a Bregman projection" to learn a unified, principled approach for integrating auxiliary information into survey estimation and reducing selection bias — working directly in weight space with Bregman divergence to reveal primal–dual symmetry, link calibration to debiased prediction and efficiency tuning, and support bounded weights, doubly robust estimation, and regularized calibration for high-dimensional covariates. Taught live via Zoom with take-home skill challenges, all livestream recordings, code, data and slides will be available for 30 days after the seminar (and on-demand access is available any time after purchase for 30 days), plus an instructor‑monitored chat forum for questions; participants receive an Instats certificate of completion (ECTS Equivalent noted for European students). Ideal for PhD students and professional researchers seeking practical, cutting-edge methods for survey and observational studies — register or contact us to learn more. #SurveyStatistics #Mathematics #Statistics #DataScience #Research #ResearchTraining #Instats

Looking to strengthen your statistical toolkit? Join our Regression (with ChatGPT & Stata) workshop — a hands-on, beginner-friendly seminar for PhD students, researchers and academics that combines core OLS regression theory (including hypothesis testing, standard errors, predictions, multivariate models and dummy variables) with AI-powered, practical Stata coding and result interpretation using ChatGPT. No prior Stata or ChatGPT experience required (a basic grasp of descriptive stats is helpful); sessions are live on Zoom with all recordings, code, data and slides available for 30 days, include take-home challenges, and come with a certificate of completion (ECTS equivalent noted for European students). This is the first of a three-part series (10% automatic discount when you purchase two or more). Participants should have access to Stata and a ChatGPT account if possible. Learn more and register: https://instats.org/structuredcourse/using-chatgpt-with-stata3 #SocialSciences #Statisticalmodellingandregression #StatisticsEducation #SurveyStatistics #Education #DataScience #Statistics #ComputerScience #SocialTheory #Stata #Research #ResearchTraining #Instats