BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Stats Camp Statistics Course - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Stats Camp Statistics Course
X-ORIGINAL-URL:https://www.statscamp.org
X-WR-CALDESC:Events for Stats Camp Statistics Course
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20220313T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20221106T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20230312T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20231105T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20240310T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20241103T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20250309T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20251102T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20260308T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20261101T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20270314T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20271107T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20280312T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20281105T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20290311T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20291104T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20300310T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20301103T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20310309T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20311102T070000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230101
DTEND;VALUE=DATE:20300102
DTSTAMP:20260405T031500
CREATED:20220909T003648Z
LAST-MODIFIED:20250410T161246Z
UID:4477-1672531200-1893542399@www.statscamp.org
SUMMARY:Self-Paced: SEM Foundations & Extended Applications (Instant Download)
DESCRIPTION:Instant Asynchronous Video Download – 4-day Statistics Short Course\nDOWNLOAD SAMPLE COURSE SLIDES AND WATCH COURSE VIDEO PREVIEW\nSeminar Overview: SEM Foundations & Extended Applications\n\nDo you want to take your measurement to the latent level? Well\, this is it\, you have found it\, the foundation to what you need to know for latent variable modeling – structural equation modeling (SEM)! Most campers report their prior training was insufficient and/or outdated. We will introduce you to the current techniques and advances in SEM as well as guide you through the steps to ‘craft’ an exquisite SEM model. \n\nSeminar Topics:\n\nPhantom Constructs\nFitting measurement models\nThree methods of scale setting – including effects coding!\nUpdated recommendations for Scale Validation\nMultiple-Group Comparisons with applications for experimental and observational groups!\nFactorial/Measurement Invariance – Are you measuring the same construct?\nExtended Applications Such as Parceling and Missing Data\nMediation and Indirect Effects using Bootstrapping\nModeration\, creating latent interaction terms!\n\nSeminar Description:\nThis 4 day short course covering SEM Foundations & Extended Applications is an intensive short seminar on the principles of structural equation modeling. \n\nInstructor: Todd D. Little\, Ph.D.\n \nTodd D. Little\, Ph.D. is a Professor of Educational Psychology at Texas Tech University (TTU). Little is internationally recognized for his quantitative work on various aspects of applied SEM (e.g.\, indicator selection\, parceling\, modeling developmental processes) as well as his substantive developmental research (e.g.\, action-control processes and motivation\, coping\, and self-regulation). Prior to joining TTU\, …  Little has guided quantitative training and provided consultation to students\, staff\, and faculty at the Max Planck Institute for Human Development’s Center for Lifespan Studies (1991-1998)\, Yale University’s Department of Psychology (1998-2002)\, and researchers at KU (2002-2013\, including as director of the RDA unit at the Lifespan Institute and as director of the Center for Research Methods and Data Analysis). In 2001\, Little was elected to membership in the Society for Multivariate Experimental Psychology\, a restricted-membership society of quantitative specialists in the behavioral and social sciences.\n \nIn 2009\, he was elected President of APA’s Division 5 (Evaluation\, Measurement\, and Statistics). He founded\, organizes\, and teaches in the internationally renowned ‘Stats Camps’ each June (see statscamp.org for details of the summer training programs) and has given over 150 workshops and talks on methodology topics around the world. As an interdisciplinary-oriented collaborator\, Little has published with over 280 persons from around the world in over 65 different peer-reviewed journals. His work has garnered over 11\,000 citations. He published Longitudinal Structural Equation Modeling in 2013 and he has edited five books related to methodology\, including the Oxford Handbook of Quantitative Methods and the Guildford Handbook of Developmental Research Methods (with Brett Laursen and Noel Card). Little has served on numerous grant review panels for federal agencies such as NSF\, NIH\, and IES\, and private foundations such as the Jacobs Foundation. He has been the principal investigator or co-principal investigator on over 15 grants and contracts and he has served as a statistical consultant on over 70 grants and contracts. In the conduct of his collaborative research\, he has participated in the development of over 12 different measurement tools\, including the CAMI\, the Multi-CAM\, the BALES\, the BISC\, the I FEEL\, and the form/function decomposition of aggression. \n\n\n\nInstructor: Zachary Stickley\, Ph.D.\n \nZachary\, Ph.D. is a senior research scientist at Yhat Enterprises LLC. where he pursues his research interests in measurement design\, applied latent variable modeling\, and modern approaches to missing data. Dr. Stickley has also served as an instructor and coordinator for the Stats Camp Foundation since first joining the team as a graduate student in 2018. He received his Ph.D. in Educational Psychology from College of Education at Texas Tech University with a focus on research methodology\, measurement design\, and statistical modeling. He received his Master of Education degree from Texas Tech University and his Bachelor of Science in Psychology from Tarleton State University. \nRead More\n\n\n\nSeminar Includes:\nMaterials\, downloads\, recorded course video viewable for up to one year. \n\n\nLearning Objectives\nLearning Objectives:\nThe 4-day training institute on Structural Equation Modeling (SEM Foundations) will enable participants to: \n\nDescribe the psychometric properties that underly Structural Equation Modeling (SEM).\nDefine a latent construct using manifest variables.\nIdentify a latent construct using numerous methods of identification\, including marker method\, fixed factor\, and effects coding.\nConduct confirmatory factor analysis (CFA) and evaluate model fit using several fit indices.\nCompare CFA models using several comparison metrics.\nGenerate and implement item parceling schemes.\nEvaluate multiple groups using the CFA framework using weak and strong invariance.\nTest and compare latent parameters in a multiple group framework.\nEvaluate and address missing data with both FIML and Multiple Imputation.\nImplement a planned missing data design.\nEvaluate mediation and moderation in an SEM framework.\nEvaluate multi-trait\, multi-method (MTMM) models.\nEvaluate hierarchical models.\n\nSeminar Audience\nSeminar Audience:\nIf you need to analyze the covariance structure of multivariate data and have a basic statistical background\, this seminar is for you. You should have a good working knowledge of the principles and practice of multiple regression and elementary statistical inference. You do not need to know matrix algebra\, calculus\, or likelihood theory (although that knowledge would be beneficial). 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. \nThe seminar will support LISREL\, Mplus or Laavan. Some assistance will be available for questions related to other structural modeling packages. No previous knowledge of LISREL\, Mplus or Laavan is assumed. Furthermore\, nearly all the techniques taught in the seminar can be translated fairly easily to most other packages. \nSeminar Files\nSeminar Files\nBelow are links to seminar files for those who enrolled in the seminar. Please download these files onto your computer before the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it. \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\nDay 1\n\n \n\n\n1:30 – 3:15\nWelcome and Introductions. Philosophy\n\n\n3:15 – 3:30\nSnack and Refreshment Break\n\n\n3:30 – 5:00\nPsychometrics; Defining Constructs\n\n\n\n\n\n\nDay 2\n\n \n\n\n9:00 – 10:45\nIdentification & Scale setting\n\n\n10:45 – 11:00\nSnack and Refreshment Break\n\n\n11:00 – 12:30\nConfirmatory Factor Analysis I – Introduction to CFA\n\n\n12:30 – 1:30\nLunch Break\n\n\n1:30 – 3:15\nConfirmatory Factor Analysis II – Comparing Models\, Model fit\n\n\n3:15 – 3:30\nSnack and Refreshment Break\n\n\n3:30 – 5:00\nMultiple-Group CFA – Testing for invariance\n\n\n\n\n\n\nDay 3\n\n \n\n\n9:00 – 10:45\nMultiple-Group CFA – Tests and comparing latent parameters\n\n\n10:45 – 11:00\nSnack and Refreshment Break\n\n\n11:00 – 12:30\nParcels and Parceling; Missing Data & Power\n\n\n12:30 – 1:30\nLunch Break\n\n\n1:30 – 3:15\nMultiple-Group SEM & Latent Regression Models\n\n\n3:15 – 3:30\nSnack and Refreshment Break\n\n\n3:30 – 5:00\nCatch up and Discussion\n\n\n\n\n\n\nDay 4\n\n \n\n\n9:00 – 10:45\nMediators\n\n\n10:45 – 11:00\nSnack and Refreshment Break\n\n\n11:00 – 12:30\nModerators\n\n\n12:30 – 1:30\nLunch Break\n\n\n1:30 – 3:15\nInteractions Multi-Trait Multi-Method (MTMM) models\n\n\n3:15 – 3:30\nSnack and Refreshment Break\n\n\n3:30 – 5:00\nCatch up and Discussion\n\n\n\n\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-foundations-and-extended-applications/
LOCATION:MT
CATEGORIES:On-Demand,SEM Foundations & Extended Applications
ATTACH;FMTTYPE=image/jpeg:https://www.statscamp.org/wp-content/uploads/2022/09/sem-foundations-training-course-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230101
DTEND;VALUE=DATE:20300102
DTSTAMP:20260405T031500
CREATED:20230825T183614Z
LAST-MODIFIED:20241114T000716Z
UID:7137-1672531200-1893542399@www.statscamp.org
SUMMARY:Self Paced: The Craft of Longitudinal Structural Equation Modeling (Instant Download)
DESCRIPTION:Dive into a transformative learning experience! Our seminar goes beyond the ordinary\, offering a dynamic series of engaging lectures and hands-on computer workshops. Elevate your skills with advanced training in Structural Equation Modeling (SEM) tailored specifically for the analysis of longitudinal data. Seize this opportunity to unlock new insights – join us and propel your expertise to the next level!\nASYNCHRONOUS – 5-day Statistics Short Course (4hrs per day)\nDOWNLOAD SAMPLE COURSE SLIDES AND WATCH COURSE VIDEO PREVIEW\nMastering Longitudinal Structural Equation Modeling: An In-Depth Workshop for Advanced Analysis \nWelcome to an immersive and advanced seminar experience! Join us for an intensive short camp focused on mastering the analysis of longitudinal data through Structural Equation Modeling (SEM). Engage in a comprehensive program featuring a blend of expert lectures and hands-on computer workshops. This unique opportunity ensures participants gain advanced proficiency in utilizing SEM for the in-depth analysis of longitudinal data. Elevate your skills—enroll now for an unparalleled learning journey! \n  \n\n\n\nDay 1\n\n \n\n\n5:00 – 6:45\nWelcome and Introductions. Overview of Longitudinal Models\n\n\n6:45 – 7:00\nSnack and Refreshment Break\n\n\n7:00 – 9:00\nReview of Foundations of SEM\n\n\n\n\n\n\nDay 2\n\n \n\n\n5:00 – 6:45\nParcels and Parceling\n\n\n6:45 – 7:00\nSnack and Refreshment Break\n\n\n7:00 – 8:00\nDesign and Measurement Issues in Longitudinal Modeling\n\n\n8:00 – 8:30\nLongitudinal Panel Models: Basics\n\n\n8:30 – 9:00\nMultiple-group Longitudinal Panel Models: CFA\, SEM\, & RI-CLPM\n\n\n\n\n\n\nDay 3\n\n \n\n\n5:00 – 6:45\nMixture Modeling\n\n\n6:45 – 7:00\nSnack and Refreshment Break\n\n\n7:00 – 8:00\nLongitudinal Mediation\n\n\n8:00 – 8:30\nIndividual Consultations\n\n\n8:30 – 9:00\nCatch up and Discussion\n\n\n\n\n\n\nDay 4\n\n \n\n\n5:00 – 6:45\nLatent Growth Curve Modeling: Basics & Multivariate and Multiple Groups\n\n\n6:45 – 7:00\nSnack and Refreshment Break\n\n\n7:00 – 8:30\nMissing Data: Planned and Unplanned\n\n\n8:30 – 9:00\nCatch up and Discussion\n\n\n\n\n\n\nDay 5\n\n \n\n\n5:00 – 6:45\nLongitudinal Moderation\n\n\n6:45 – 7:00\nSnack and Refreshment Break\n\n\n7:00 – 8:30\nCatch up and Discussion\n\n\n8:30 – 9:00\nWrap-up then Individual Consultations\n\n\n\n\n\n\n\nCourse Topics:\nDesign and measurement issues in cross-sectional and longitudinal research\, Traditional panel designs\, Overview of missing data\, Latent growth curve modeling\, Testing for Mediation and Moderation\, Multilevel and multiple group SEM\, Using Phantom Constructs\, Multiple group modeling. \nCourse Description:\nEmbark on an advanced journey of expertise with our intensive seminar focused on the nuanced analysis of longitudinal data through Structural Equation Modeling (SEM). Join a dynamic program featuring expert-led lectures and hands-on computer workshops\, meticulously designed to provide participants with unparalleled training in utilizing SEM for the comprehensive analysis of longitudinal data. Elevate your skills\, refine your approach\, and gain mastery in the craft of Longitudinal Structural Equation Modeling. Seize this opportunity to dive deep into advanced methodologies and enhance your proficiency in handling longitudinal data sets. Enroll now for a transformative learning experience at the forefront of statistical analysis. \n\nInstructor: Todd D. Little\, Ph.D.\n \nTodd D. Little\, Ph.D. is a Professor of Educational Psychology at Texas Tech University (TTU). Little is internationally recognized for his quantitative work on various aspects of applied SEM (e.g.\, indicator selection\, parceling\, modeling developmental processes) as well as his substantive developmental research (e.g.\, action-control processes and motivation\, coping\, and self-regulation). Prior to joining TTU\, …  Little has guided quantitative training and provided consultation to students\, staff\, and faculty at the Max Planck Institute for Human Development’s Center for Lifespan Studies (1991-1998)\, Yale University’s Department of Psychology (1998-2002)\, and researchers at KU (2002-2013\, including as director of the RDA unit at the Lifespan Institute and as director of the Center for Research Methods and Data Analysis). In 2001\, Little was elected to membership in the Society for Multivariate Experimental Psychology\, a restricted-membership society of quantitative specialists in the behavioral and social sciences.\n \nIn 2009\, he was elected President of APA’s Division 5 (Evaluation\, Measurement\, and Statistics). He founded\, organizes\, and teaches in the internationally renowned ‘Stats Camps’ each June (see statscamp.org for details of the summer training programs) and has given over 150 workshops and talks on methodology topics around the world. As an interdisciplinary-oriented collaborator\, Little has published with over 280 persons from around the world in over 65 different peer-reviewed journals. His work has garnered over 11\,000 citations. He published Longitudinal Structural Equation Modeling in 2013 and he has edited five books related to methodology\, including the Oxford Handbook of Quantitative Methods and the Guildford Handbook of Developmental Research Methods (with Brett Laursen and Noel Card). Little has served on numerous grant review panels for federal agencies such as NSF\, NIH\, and IES\, and private foundations such as the Jacobs Foundation. He has been the principal investigator or co-principal investigator on over 15 grants and contracts and he has served as a statistical consultant on over 70 grants and contracts. In the conduct of his collaborative research\, he has participated in the development of over 12 different measurement tools\, including the CAMI\, the Multi-CAM\, the BALES\, the BISC\, the I FEEL\, and the form/function decomposition of aggression. \n\n\n\nInstructor: Zachary Stickley\, Ph.D.\n \nZachary\, Ph.D. is a senior research scientist at Yhat Enterprises LLC. where he pursues his research interests in measurement design\, applied latent variable modeling\, and modern approaches to missing data. Dr. Stickley has also served as an instructor and coordinator for the Stats Camp Foundation since first joining the team as a graduate student in 2018. He received his Ph.D. in Educational Psychology from College of Education at Texas Tech University with a focus on research methodology\, measurement design\, and statistical modeling. He received his Master of Education degree from Texas Tech University and his Bachelor of Science in Psychology from Tarleton State University. \nRead More\n\n\n\nSeminar Includes:\nMaterials\, downloads\, recorded course video viewable for up to one year. \n\n\nLearning Objectives\nLearning Objectives:\nThis comprehensive 5-day statistics training institute on Longitudinal SEM will enable participants to:\n\nUnderstand the strengths and weaknesses of the different models that can be applied to longitudinal data.\nDevelop a clear understanding of how the models can be specified and adapted to address the specific needs and questions of the investigator.\nGain knowledge of the ways in which one should formulate models test alternative models\, and evaluate models with regard to statistical and practical significance.\n\nSeminar Prerequisites\nSeminar Prerequisites:\nIf you already have a strong background in the application of SEM to analyze the covariance structure of multivariate data and you need to learn how to apply more advanced models to longitudinal data\, this seminar is for you. We strongly recommend that you attend our five-day intensive summer institute on SEM Foundations as a pre-requisite to taking this 5-day advanced seminar. If you have not taken the foundations Seminar\, you should have extensive experience or have taken a graduate-level seminar on SEM before enrolling. \nParticipants from a variety of fields\, including sociology\, psychology\, education\, human development\, marketing\, business\, biology\, medicine\, political science\, and communication\, will benefit from the seminar. \nSoftware and Computer Support\nSoftware and Computer Support:\nParticipants need to bring a laptop computer with Wi-Fi capabilities. \nThe seminar will support LISREL\, Mplus or Laavan. Some assistance will be available for questions related to other structural modeling packages. Previous knowledge of LISREL\, Mplus or Laavan is preferred but not required. \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.Download 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/the-craft-of-longitudinal-structural-equation-modeling-a-comprehensive-seminar/
LOCATION:MT
CATEGORIES:Longitudinal SEM,Longitudinal Structural Equation Modeling,On-Demand
ATTACH;FMTTYPE=image/jpeg:https://www.statscamp.org/wp-content/uploads/2023/08/longitudinal-structural-equation-modeling-statistics-course.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231009T090000
DTEND;TZID=America/Chicago:20231012T150000
DTSTAMP:20260405T031500
CREATED:20220801T200438Z
LAST-MODIFIED:20230505T191848Z
UID:3584-1696842000-1697122800@www.statscamp.org
SUMMARY:Advanced Structural Equation Modeling: Bayesian SEM
DESCRIPTION:Sponsorship Opportunity:\nApply for $1150 scholarship and learn Bayesian SEM at Stats Camp. Instructor Mauricio Garnier Villarreal got awarded (co-PI) the grant “Scaling Bayesian Latent Variable Models to Big Education Data” from the United States Department of Education. We are able to sponsored 2 students with $1150 each for the registration to the Bayesian SEM course. \n\n\n\n\nTo apply for this sponsorship:\nPlease email the following information to the instructor at mgv@pm.me\n\n\n– CV\n– Explanation on how this course fits your professional development (maximum 300 words)\n– Statement of diversity\, how do you and\or your work is related to underrepresented groups\n\nLIVE STREAM – 4-day Statistics Short Course\nDOWNLOAD SAMPLE COURSE SLIDES AND WATCH COURSE VIDEO PREVIEW\nSeminar Overview:\nThe goal of the Bayesian SEM is to provide instruction in the application SEM from the Bayesian paradigm. It will cover the application of models commonly implemented in frequentist SEM\, and in models that are complicate or impossible to estimate in the frequentist paradigm. This seminar is design to portray the advantages of the Bayesian paradigm\, both philosophical and practical\, within the application of SEM. The material and examples will be provided in the open source platform R\, but if the students prefer to work with another program we will assist in the understanding and application. In addition\, students who sign up for this seminar can request topics to be included during the weeklong seminar. If we have the expertise\, we’ll gladly prepare and deliver a module on the topic! As with all Stats Camp seminars\, personal consultation time is available and ample support resources are provided on our web pages at statscamp.org. \nA perfect follow up for SEM Foundations or Bayesian Data Analysis! \nSeminar Topics:\n\nBayesian inference\nMCMC estimation algorithm\nPrior selection\nModel comparison\nCommomly applied SEM models: CFA\, SEM\, multiple group\, grorth curve\n\nSeminar Description:\nYou have a good to great understanding of structural equation modeling (SEM)\, maybe you have been doing traditional SEM for years\, but you’ve began a project where your observations are not normally distributed\, you have a small sample size\, or even worse – your model is not converging! What do you do now? Bayesian SEM is your next step! \nAdvanced SEM: Bayesian SEM will cover models that may be too complicated or impossible to estimate in the traditional SEM framework. This seminar highlights the philosophical and practical advantages of the Bayesian approach to SEM. \n\nInstructors: Mauricio Garnier-Villarreal\, Ph.D.\n \n\n\n\nEsteban Montenegro\, Ph.D.\n \nI’m a researcher at the UC Davis Alzheimer’s Disease Center- East Bay. I conduct data analysis using advanced statistical methods such as latent variable modeling. I have 6 years of experience programming in R\, and I love learning about Linux and statistical new tools.…I’m always open to new projects and ideas\, I collaborate with several teams around the world on topics related to healthy aging\, Alzheimer Disease and other health related topics. \nRead More\n\n\n  \n\nAPA Continuing Education Credits:\n \nPlease contact us for exact # of credit hours for 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. \nSeminar Includes:\nMaterials\, downloads\, recorded course video viewable for up to one year. \n\n\nLearning Objectives\nLearning Objectives:\nAfter engaging in course lectures and discussions as well as completing the hands-on practice activities with real data\, participants will be able to:\n\nDescribe the fundamental properties of Bayesian reasoning and Bayes’ rule.\nDifferentiate between direct probability and indirect probability.\nUtilize Markov Chain Monte Carlo estimation using the Gibbs and Hamiltonian samplers.\nAnalyze Bayesian models in several software packages\, including JAGS\, STAN\, and blavaan.\nIdentify the properties of key distributions used in Bayesian analysis.\nConduct a confirmatory factor analysis using the Bayesian framework.\nImplement prior estimations in conducting CFA modeling.\nEvaluate model fit and compare CFA models.\nModel multiple group CFAs using the Bayesian framework.\nEvaluate latent regression models\, latent interactions\, quadratic effects\, and mediation in a Bayesian framework.\nUse Bayesian methods to evaluate non-normal continuous data.\nConduct SEM for categorical data using Bayesian Item Response Theory.\nAccount for missing data.\nEvaluate longitudinal models in a Bayesian framework.\n\nSeminar Prerequisites\nSeminar Prerequisites:\nRequired: \n\nGeneral understanding of linear regression models\n\nNot required but advantageous: \n\nBasic understanding of Bayesian inference\nBasic understanding of SEM\n\nNo level of proficiency beyond basic awareness is assumed for skills related to: \n\nWorking with R\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.Syllabus\n\n\n\n4-Day Schedule: Bayesian SEM\n\n\nDay 1\n\n\n\n9:00–10:45\nWelcome and Introductions.\n\n\n10:45–11:00\nRest Break\n\n\n11:00–12:30\nBayesian reasoning and Baye’s rule : Direct probability vs indirect probability. Markov Chain Monte Carlo\n\n\n12:30–1:30\nRest Break\n\n\n1:30–3:15\nKnow your distributions. Introduction to blavaan (R)\n\n\n3:15–3:30\nRest Break\n\n\n3:30–5:00\nBayesian Confirmatory Factor Analysis\n\n\nDay 2\n\n\n\n9:00–10:45\nPriors: relevance\, choice\, strengths. CFA with cross-loadings\n\n\n10:45–11:00\nRest Break\n\n\n11:00–12:30\nModel fit and model comparison\n\n\n12:30–1:30\nRest Break\n\n\n1:30–3:15\nMultiple-group CFA\n\n\n3:15–3:30\nRest Break\n\n\n3:30–5:00\nLatent regression models: latent interactions\, and mediation\n\n\nDay 3\n\n\n\n9:00–10:45\nLatent regression models: latent interactions\, and mediation\n\n\n10:45–11:00\nRest Break\n\n\n11:00–12:30\nMissing data handling\n\n\n12:30–1:30\nRest Break\n\n\n1:30–3:15\nSEM for categorical data\n\n\n3:15–3:30\nRest Break\n\n\n3:30–5:00\nLongitudinal CFA (Measurement Invariance)\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/advanced-structural-equation-modeling-bayesian-sem-seminar/
LOCATION:Livestream and/or Asynchronous:\, If you are unavailable to join live via Zoom\, you can participate asynchronously by viewing the recorded course videos for up to 1 year.
CATEGORIES:Advanced Structural Equation Modeling: Bayesian SEM Seminar,Livestream
ATTACH;FMTTYPE=image/jpeg:https://www.statscamp.org/wp-content/uploads/2022/08/advanced-sem-bayesian-sem-training-seminar.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231016T150000
DTEND;TZID=America/Chicago:20231016T210000
DTSTAMP:20260405T031500
CREATED:20230908T190017Z
LAST-MODIFIED:20230908T192533Z
UID:7170-1697468400-1697490000@www.statscamp.org
SUMMARY:Mediation and Moderation
DESCRIPTION:LIVE STREAM – 4-day Statistics Short Course\nDOWNLOAD SAMPLE COURSE SLIDES AND WATCH COURSE VIDEO PREVIEW\nSeminar Overview: Mediation and Moderation Training Course\nGreat! You have an idea you’re interested in\, now what? You may even have a theory that X will predict Y\, but the more important question\, the question that we really what to know is\, why does X predict Y\, or when does X predict Y. Modeling these mechanisms of change are where Mediation and/or Moderation become your methodological hero! \nSeminar Topics:\nOur Mediation and Moderation seminar will teach you the fundamentals of framing the relationships between your observations\, including how to: \n\nEstimate\, test\, and interpret mediated (i.e.\, indirect) and moderated (i.e.\, interaction) effects using OLS regression.\nCombine mediation and moderation models to test conditional indirect effects.\nUse a macro called PROCESS for SPSS and SAS to test these models.\nApply the latest methods in moderation and mediation analysis using R software.\n\nSeminar Description:\nAre you ready to embark on a journey into the intricate world of understanding why and when certain variables predict specific outcomes? In this seminar\, we will delve deep into the realms of mediation and moderation analysis\, two powerful methodological tools that will unlock the secrets behind causal relationships. Whether you’re a seasoned researcher looking to refine your skills or a budding analyst seeking to grasp the fundamentals\, this course promises to elevate your research game and make you a methodological hero! \nWho Should Attend: \n\nResearchers from various fields interested in enhancing their quantitative research skills.\nGraduate students seeking to deepen their understanding of causal analysis.\nProfessionals looking to sharpen their data analysis techniques.\nAnyone curious about unlocking the mysteries behind predictive relationships in data.\n\nJoin us on this exciting journey as we unravel the “why” and “when” behind predictive relationships\, and become the methodological heroes of your research endeavors! \n\nInstructor: Mwarumba Mwavita\, Ph.D.\n \nMwarumba Mwavita is Director of the Center for Educational Research and Evaluation (CERE) at Oklahoma State University. In addition\, he is a Professor in the Research\, Evaluation\, Measurement and Statistics (REMS) program in the College of Education and Human Sciences at Oklahoma State University where he teachers the GLM sequence of courses that includes ANOVA\, Multiple Regression\, MANOVA\, and Multilevel Modeling. \nRead More\n\n\nAPA Continuing Education Credits:\n \nThis course offers Continuing Education Credits. Yhat Enterprises\, LLC is approved by the American Psychological Association to sponsor continuing education for psychologists. Yhat Enterprises\, LLC maintains responsibility for this program and its content. \nSeminar Includes:\nMaterials\, downloads\, recorded course video viewable for up to one year. \n\n\nLearning Objectives\nLearning Objectives:\nAt the end of the course\, participants will be able to:\n\nCompute\, test\, and interpret mediation models in an OLS regression framework.\nEvaluate mediation models with four or more variables.\nCompute\, test\, interpret\, and graph moderation in an OLS regression framework.\nWork examples using the PROCESS Macro in conducting Mediation\, Mderation\, and Mediated-Moderated Models\nImplement moderation in a latent variable framework.\nImplement moderation in a multilevel framework.\nEvaluate advanced models that implement moderated mediators\, or mediated moderation.\n\nSeminar Prerequisites\nSeminar Audience:\nThis seminar will be helpful for researchers in any field—including psychology\, sociology\, education\, business\, human development\, political science\, public health\, communication—and others who want to learn how to apply the latest methods in moderation and mediation analysis using freely-available R software. Participants should have a good working knowledge of the principles and practice of multiple regression and elementary statistical inference. \nSoftware and Computer Support\nSeminar Prerequisites:\nRequired: \n\nIntermediate proficiency in multiple linear regression\nIntermediate proficiency with at least once statistical software package (knowledge of SPSS or SAS are preferred\, but not required).\nAt least limited experience using syntax with statistical software.\n\nNot required but advantageous: \n\nAt least limited experience (e.g.\, graduate-level seminar) with multivariate data analysis.\nAt least limited experience (e.g.\, graduate-level seminar) with investigating interactions (in r multiple linear regression or ANOVA)\n\nNo level of proficiency beyond basic awareness is assumed for skills related to: \n\nMediation and moderation\nAdvanced statistical techniques such as SEM\, MLM\, or logistic regression.\nAdvanced mathematical or statistical topics such as matrix algebra or likelihood theory.\n\n\nSoftware and Computer Support\nSoftware and Computer Support:\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.(statistical modeling on remote servers) system for the duration of camp.Syllabus\n\n\n\nFall  Stats Camp 2023: Mediation Moderation\n\n\nMonday\nOctober 16\, 2023\n\n\n3:00-3:45\nWelcome and software review\n\n\n3:45-4:00\nRest Break\n\n\n4:00-5:30\nReview of regression\n\n\n5:30-6:30\nRest Break\n\n\n6:30-8:15\nIntroduction to mediation\n\n\n8:15-8:30\nRest Break\n\n\n8:30-9:00\nComputing\, testing and interpreting mediation in regression\n\n\nTuesday\nOctober 17\, 2023\n\n\n3:00-3:45\nMediation with four or more variables\n\n\n3:45-4:00\nRest Break\n\n\n4:00-5:30\nLatent variable mediation\n\n\n5:30-6:30\nRest Break\n\n\n6:30-8:15\nAdvanced topics in mediation: Multilevel modeling\n\n\n8:15-8:30\nRest Break\n\n\n8:30-9:00\nAdvanced topics in mediation: Longitudinal mediation\n\n\nWednesday\nOctober 18th\, 2023\n\n\n3:00-3:45\nIntroduction to moderation\n\n\n3:45-4:00\nRest Break\n\n\n4:00-5:30\nComputing moderation\n\n\n5:30-6:30\nRest Break\n\n\n6:30-8:15\nGraphing and interpreting moderation\n\n\n8:15-8:30\nRest Break\n\n\n8:30-9:00\nGraphing and interpreting moderation in regression / Individual Consultations\n\n\nThursday\nOctober 19th \, 2023\n\n\n3:00-3:45\nAdvanced topics in moderation: Multilevel modeling\, SEM\n\n\n3:45-4:00\nRest Break\n\n\n4:00-5:30\nAdvanced topics in Moderation: Longitudinal designs\n\n\n5:30-6:30\nRest Break\n\n\n6:30-8:15\nAdvance topics in moderation\n\n\n8:15-8:30\nRest Break\n\n\n8:30-9:00\nContinue Advanced topics / Individual Consultations\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/mediation-and-moderation-training/
LOCATION:Livestream and/or Asynchronous:\, If you are unavailable to join live via Zoom\, you can participate asynchronously by viewing the recorded course videos for up to 1 year.
CATEGORIES:Mediation and Moderation
ATTACH;FMTTYPE=image/jpeg:https://www.statscamp.org/wp-content/uploads/2022/07/mediation-and-moderation-statistics-course.jpg
END:VEVENT
END:VCALENDAR