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SUMMARY:Structural Equation Modeling (SEM) with Mplus
DESCRIPTION:IN PERSON – 5-day Statistics Short Course\nDOWNLOAD SAMPLE COURSE SLIDES AND WATCH COURSE VIDEO PREVIEW\nSeminar Overview:\nAn introductory 5-day training course on using Mplus Structural Equation Modeling. \nMore and more researchers in the social and behavioral sciences use\, or want to use\, Mplus to analyze their structural equation models. This Stats Camp course is a 5-day hands on workshop using Mplus. \nSeminar Topics:\nThe five-day training institute on SEM with Mplus will enable participants to: \n\nBrief review of Structural Equation modeling (SEM)\nPreparing and reading data into Mplus\nModel specification and dealing with defaults\nProcedures for fitting and testing Structural Equation Modeling (SEM) models (regression\, path analysis\, multiple groups\, moderation ) in Mplus\nTesting mediation (bootstrapping)\nHow to fit longitudinal models (Panel vs Growth curve models)\n\nNote: This course will focus primarily on multivariate normal data that meets the assumptions of maximum likelihood estimation although other estimators available in Mplus will be briefly discussed. \nSeminar Description:\nThe course starts with a brief review of structural equation modeling with emphasis on the specific way Mplus is used to specify and estimate models. We will also discuss some ways to deal with warnings and error messages. Next\, we work with model specification and comparisons\, multigroup models\, DIF testing\, moderation\, and how to deal with Mplus defaults. We continue with testing predictive hypotheses and mean differences. Then\, we will cover more advanced topics related to longitudinal data along with its additional assumptions and how to fit longitudinal SEM models in Mplus (e.g. how to specify longitudinal panel models\, growth curve models\, and how to test for mediation). The last day provides time for an additional topic based on camper requests (i.e. MLM\, Power Analysis\, etc.). The available choices of different estimation methods and statistical tests are also discussed. \nOn each day\, the morning session consists of mini-lectures and examples\, and the afternoon session is a computer lab where the topics of the morning are applied on example data. There will also be time to work on your own data and get feedback on your models. Bringing your own data is a plus for you\, but definitely not a requirement for this course as we will have plenty of examples. \nParticipants from a variety of fields—including psychology\, education\, human development\, public health\, prevention science\, sociology\, marketing\, business\, biology\, medicine\, political science\, and communication—will benefit from the course. \nOn the first day of class you will receive an electronic copy of all course materials\, including lecture slides\, practice datasets\, software scripts\, relevant supporting documentation\, and recommended readings. You will also have access to a video recording of the course. \n\nInstructor: Elizabeth Grandfield\, Ph.D.\n \nElizabeth received her Ph.D. in Quantitative Psychology at the University of Kansas. She is currently an Assistant Professor in the Department of Methodology and Statistics at Utrecht University in the Netherlands. Her research focuses on evaluating …measurement invariance with an emphasis in longitudinal designs. In areas of applied research\, Elizabeth has been involved in longitudinal children studies at Juniper Gardens as well as a national nursing study at Kansas University Medical Center\, both in Kansas City. She also received the 2011 Multivariate Software Award\, presented by Peter Bentler and Eric Wu. Elizabeth has been involved in Stats Camp since 2012. \nRead More\n\n\n  \n\n\nAPA Continuing Education Credits:\n \nPlease contact us for the exact # of Continuing Education Credits. Stats Camp Foundation is approved by the American Psychological Association to sponsor continuing education for psychologists. Stats Camp Foundation maintains responsibility for this program and its content. \n\nSeminar Includes:\nMaterials\, downloads\, recorded course video viewable for up to one year. \n\n\n\nLearning Objectives\nLearning Objectives:\nAfter engaging in course lectures and discussions as well as completing the hands-on practice activities\, participants will:\n\nAcquire an understanding of how Mplus syntax is structured and used to analyze structural equation models.\nEvaluate and respond to common error messages generated by Mplus.\nSet the scale in an SEM or CFA model in Mplus by overriding the program defaults for marker variable\, fixed factor\, and effects coding scaling methods.\nPrepare data for input into Mplus.\nFit CFA models using Mplus.\nConduct model comparisons and invariance testing using Mplus.\nEvaluate structural invariance in predictive models.\nEvaluate panel models and growth curve models using Mplus.\nImplement longitudinal designs\, mediation\, and bootstrapping in Mplus.\n\nSeminar Prerequisites\nSeminar Prerequisites:\nRequired: \n\nIntermediate proficiency in multiple linear regression (e.g.\, a second course in statistics is usually sufficient).\nIntermediate proficiency with at least one statistical software package (e.g.\, SPSS\, Stata\, SAS\, R\, etc.).\nAt least limited experience (or basic awareness) with continuous latent variable models\, e.g.\, exploratory and confirmatory factor analysis (EFA; CFA) and structural equation modeling (SEM).\nPlease email the instructor if you have any questions or concerns. Some introductory literature/articles can be recommended/provided before the course begins.\n\nNot required but advantageous: \n\nAt least limited experience with multivariate data analysis.\n\nNo level of proficiency beyond basic awareness is assumed for skills related to: \n\nLatent variable modeling using Mplus.\nAdvanced mathematical or statistical topics such as matrix algebra or likelihood theory.\n\nSoftware and Computer Support\nSoftware and Computer Support:\nParticipants need to bring a laptop computer with Wi-Fi capabilities. \nAll statistical software used at Stats Camp will be available\, free to participants\, on our SMORS (statistical modeling on remote servers) system for the duration of camp. \nInstruction will be provided for the methods using the most current version of Mplus (base program with mixture add-on or base program with combination add-on). Mplus is available for Windows\, Mac\, and Linux environments.  Information for purchasing a personal license can be found at www.statmodel.com. \nSeminar Audience\nSeminar Audience:\nIf you need to analyze your data in Mplus or if you want to know when to switch to Mplus\, this seminar is for you. You should have some (basic) experience with other SEM software\, for example AMOS\, LISREL\, openMX\, SAS. No previous knowledge of Mplus is assumed. You do not need to know matrix algebra\, calculus\, or likelihood theory\, or any knowledge on Bayesian statistics. Participants from a variety of fields\, including sociology\, psychology\, education\, human development\, marketing\, business\, biology\, medicine\, political science\, and communication\, will benefit from the seminar. \nSeminar Files\nSeminar Files\nInstructor will provide password on first day of seminar. \nAll statistical software used at Stats Camp will be available\, free to participants\, on our SMORS (statistical modeling on remote servers) system for the duration of camp.Syllabus\n\n\n\nMonday\nJune 10\, 2024\n\n\n9:00-9:30\nWelcome and introductions\n\n\n9:30-10:45\nSEM: Brief Review\n\n\n10:45-11:00\nRest Break\n\n\n11:00-12:30\nIntro to Mplus syntax and common error messages\n\n\n12:30-1:30\nRest Break\n\n\n1:30-3:00\nScale setting in CFA/SEM (overriding Mplus defaults)\n\n\n3:00-3:15\nRest Break\n\n\n3:15-5:00\nComputer exercises and getting your data ready for Mplus\n\n\nTuesday\nJune 11\, 2024\n\n\n9:00-10:45\nQ&A\, Fitting CFA models\, Model comparisons\n\n\n10:45-11:00\nRest Break\n\n\n11:00-12:30\nIntro to Invariance testing (Multiple group models and moderation)\n\n\n12:30-1:30\nRest Break\n\n\n1:30-3:00\nMplus examples\n\n\n3:00-3:15\nRest Break\n\n\n3:15-5:00\nComputer exercises\n\n\nWednesday\nJune 12\, 2024\n\n\n9:00-10:45\nQ&A and catch up\n\n\n10:45-11:00\nRest Break\n\n\n11:00-12:30\nStructural Invariance\, predictive models\n\n\n12:30-1:30\nRest Break\n\n\n1:30-3:00\nMplus examples\, exercises\n\n\n3:00-3:15\nRest Break\n\n\n3:15-5:00\nComputer exercises and camper hypothesized models\n\n\nThursday\nJune 13\, 2024\n\n\n9:00-10:45\nQ&A and catch up\, longitudinal SEM\n\n\n10:45-11:00\nRest Break\n\n\n11:00-12:30\nPanel vs growth curve model specification in Mplus\n\n\n12:30-1:30\nRest Break\n\n\n1:30-3:00\nMore on longitudinal\, mediation\, bootstrapping in Mplus\n\n\n3:00-3:15\nRest Break\n\n\n3:15-5:00\nComputer exercises and working with your own data\n\n\nFriday\nJune 14\, 2024\n\n\n9:00-10:45\nQ&A and catch up\n\n\n10:45-11:00\nRest Break\n\n\n11:00-12:30\nMisc topic (based on camper response to survey)\n\n\n12:30-1:30\nRest Break\n\n\n1:30 ~ 3:00\nOne-on-one consultations with instructor\n\n\n\nDownload Sample Slides and Preview Course Video\nPlease fill out and submit the form below to get instant access to sample course materials.
URL:https://www.statscamp.org/courses/sem-with-mplus/
LOCATION:Embassy Suites – Albuquerque\, If you are unavailable to join in-person\, you can participate asynchronously by viewing the recorded course videos for up to 1 year.
CATEGORIES:SEM with Mplus,Summer Camp,Summer Camp 2
ATTACH;FMTTYPE=image/jpeg:https://www.statscamp.org/wp-content/uploads/2022/07/sem-with-mplus-statistics-course.jpg
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