Free No-Code Mixed Rasch Model in jamovi

QuantFish instructor and statistical consultant Dr. Christian Geiser shows how the Mixed Rasch model of item response theory (IRT) can be applied in the free, no-code jamovi software #jamovi #statistics #CTT #IRT #geiser #statisticstutorials #quantfish #mplusforbeginners #psychometrics #psychometry #assessment #rasch #mixture FREE weekly stats tips: https://mailchi.mp/goquantfish.com/newsletter FREE statistics workshops: https://www.goquantfish.com/collections/free-courses Dr. Geiser's free weekly stats newsletter: https://christiangeiser.com/newsletter Consulting inquiries: https://christiangeiser.com/consulting/ RASCH MODELING WITH R & WINSTEPS COURSE: https://www.goquantfish.com/courses/rasch-R-Winsteps IRT WITH MPLUS & STATA COURSE: https://www.goquantfish.com/courses/item-response-theory-with-mplus-and-stata CLASSICAL TEST THEORY COURSE: https://www.goquantfish.com/courses/classical-test-theory-analysis-in-spss-and-mplus Dr. Geiser's BOOKS: ****Longitudinal Structural Equation Modeling with Mplus: https://amzn.to/3ekOLOW ****Data Analysis with Mplus: https://amzn.to/3eg9vY4 ON-DEMAND MPLUS COURSES: ****CFA & SEM with Mplus: https://www.goquantfish.com/courses/SEM-with-Mplus ****Multilevel Modeling with Mplus: https://www.goquantfish.com/courses/multilevel-modeling-with-mplus ****Latent Class Analysis with Mplus: https://www.goquantfish.com/courses/latent-class-analysis-with-mplus ABOUT THIS INSTRUCTOR: Dr. Christian Geiser is a quantitative psychologist, author of two books on Mplus, and a leader in the development of latent variable techniques for complex data. With his accessible books and sought-after workshops, he has helped thousands of researchers and students around the world to achieve their analytic goals. Visit his website at christiangeiser.com. ABOUT QUANTFISH: We bring top-level stats training from the world's leading methodologists to researchers and students all over the world. Learn more at https://goquantfish.com. Some affiliate links may be included at no additional cost to purchasers. Reference Rost, J. (1990). Rasch models in latent classes: An integration of two approaches to item analysis. Applied Psychological Measurement, 14(3), 271-282.