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DTSTART;VALUE=DATE:20230101
DTEND;VALUE=DATE:20300102
DTSTAMP:20260404T011835
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 Most campers report their prior training was insufficient and/or outdated.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/
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
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DTSTART;VALUE=DATE:20230101
DTEND;VALUE=DATE:20300102
DTSTAMP:20260404T011835
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/
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
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260911T080000
DTEND;TZID=America/Chicago:20260914T170000
DTSTAMP:20260404T011835
CREATED:20251002T234840Z
LAST-MODIFIED:20251002T234841Z
UID:9964-1789113600-1789405200@www.statscamp.org
SUMMARY:2026 Analysis Retreat
DESCRIPTION:All-Inclusive In-Person – 4-day Statistics Training Retreat – September 2026\nDOWNLOAD SAMPLE COURSE SLIDES AND WATCH COURSE VIDEO PREVIEW\nStatistics Training Retreat Overview:\n4 days of intensive data analysis\, statistics training\,  software solutions\, best practices and options that brings your research up to the world-class level needed to get published in a top-tier journal. Analysis Retreat will make your research “submission ready” with the guided assistance of our team of experts.\nStats Camp Analysis Retreat is a unique and powerful 4 day opportunity to have a highly cited International team of experts vet your research and increase the likelihood of peer review approval and publishing. Our statistics training team puts the advantage squarely in your corner with four days of intensive analysis\, software solutions\, best practices and options that brings your research up to the world-class level needed to get published in a top-tier journal. Analysis Retreat will make you research “submission ready.” Build solid confidence for tenure and promotion. Stats Camp Analysis Retreat is the positive action you can take NOW to get your career on the fast track. Due to the intense personal focus of the retreat\, seats are very limited and fill fast. \nStatistical Retreat Venue:\nWhere: Grouse Mountain Lodge – Whitefish Montana USA\nAddress: 2 Fairway Dr\, Whitefish\, MT 59937\nWhen: September 11 – 14\, 2026 • 8am CDT – 5pm CDT daily.\nAll Inclusive: Lodging (4 Nights 11-14 or 12-20)\, Training\, All Beverages/Snacks + 2 Meals Thurs (afternoon)\, 3 Fri\, 3 Sat\, 2 Meals Sun (morning).\nTravel Cost: Participant is responsible for air or ground travel to the venue. \nAnalysis Retreat Includes:\n\n\nIn person one-on-one statistics training\n\nHotel lodging provided\n\nAll meals and daily beverages & snacks provided\n\nMaterials\, downloads\, and software access\n\n\n\n\n\nRetreat Description\nRetreat Description:\n\nTodd D. Little\, Ph.D. developed Stats Camps Analysis Retreats to address the need for specialized expertise that is often needed to move complex research projects to approval and publication. Dr. Little is a preeminent award-earning scholar who has published over 300 peer-reviewed works that have garnered 46\,611+ citations. \nMembers of the Stats Camp team are highly experienced and many have decades of experience in resolving complex analytical challenges with an understanding of best-practices procedures. You will have exclusive access to their expertise as they guide you to a final publication-ready product. \nExpert consulting at this level can quickly run into the tens of thousands of dollars. By bringing our team together with you at an exclusive and personalized all-inclusive Stats Camp Analysis Retreat\, we can offer this unprecedented access at a much more affordable price. \n\nWho Should Attend?\nWho Should Attend?\nIf you are in the pre-data analysis phase\, Stats Camp staff will engage with you to develop a testable research hypothesis\, a fully articulated analysis plan\, and ensure full understanding of the analysis model\, the nature of its results\, and their implications. \nIf you are in the analysis phase\, Stats Camp staff will work with you to learn the software syntax needed to analyze your data\, interpret the output and understand the implications of your findings. \nBreakout sessions will cover a vast array of techniques and topics. Some topics are predetermined while others will be prepared specifically to meet your needs and the needs of the other participants (a survey will be given prior to the event to develop this need list of topics to cover). \nWhat to expect\nWhat to expect:\nParticipants in our past annual Stats Camp Analysis Retreats were overwhelming positive about the individualized learning that took place as well as the opportunity to work with their own data – a practical aspect that makes learning easier. Because participants are enabled to ask questions and get immediate feedback\, learning the practical analytic skills is facilitated. Also\, participants learned about different topics tailored to their learning needs. \nParticipants uniformly exclaimed that the learning activities and interaction with the Stats Camp instructors contributed to publishing more articles and increased the quality of their research\, which has allowed them to target higher impact factor journals. Because quantitative methods are a critical gap in most fields\, the Stats Camp experience helped clarify the essential importance of quantitative methods. By learning the basics of applying these methods\, the knowledge is thereby carried over to other colleagues and students\, and ultimately helping to close the gap. \nThe Stats Camp Analysis Retreat is a perfect combination of learning and fun from the comfort of a beautiful lodge in an amazing destination\, networking in a collegial and social context. Having the stats camp in a retreat format\, gives you ample time\, motivation\, and access to incomparable expertise to propel your research forward. \nSchedule\nSchedule: Below is an example of our standard in-person schedule of events. All times are listed in local (MST) Mountain Standard Time.\nKey: All inclusive in Green \n\nFriday – 9/11/26\n\n12:00 – Group Lunch with some overview thoughts by Todd Little\n1:30 – Welcome and overview program and introductions\n2:30 – Common Session: Missing Data (Todd Little\, Zack Stickley)\n5:00 – Cocktail consultations and social networking\n\nHeavy appetizers and drink tickets\n\n\n~6:30 – Dinner at Lodge \n\n\nSaturday – 9/12/26\n\n8:00 – Group Breakfast with kick-off discussion.\n9:00 – Morning break-out sessions in two groups based on whether there is a clear analysis plan (group 1: already working on analyses – group 2: preparing for data analysis).\n\nFor both groups the goal is to answer questions like:\n\nWhat exactly is your research question?\nWhat are your testable research hypotheses?\nWhat analysis plan is best suited for you hypotheses?\nMake/review drawings of your model (observed/latent)\n\n\n\n\n12:00 – Group Lunch with small group discussions and networking\n1:30 – Afternoon break-out session with mini-lectures (conversations) on statistical models; choose from:\n\nTopics determined by you\n\n\n***During the day we will also have individual/small group consultation appointments to answer specific questions from you***\n5:00: Cocktail consultations and social networking\n\nHeavy appetizers and drinks\n\n\n~6:30 Dinner in Downtown Whitefish or surrounding area On Your Own or Dinner at Lodge with Group Provided.  – via lodge transportation or On Your Own\n\n\nSunday – 9/13/26\n\n8:00 – Group Breakfast with kick-off discussion\n9:00 – Morning break-out sessions introducing software:\n\nBasic SEM – CFA with Mplus or Intro lecture to R + Rstudio (based on needs survey)\nAdditional topics determined by you\n\n\n1200 – Group Lunch with small group discussions and networking\n1:30 Afternoon break-out session working on your own data (or work on exercises if you do not have data yet) based on level of experience:\n\nAdvanced Mplus or R\nAdditional topics determined by you\n\n\n***During the day we will also have individual/small group consultation appointments to answer specific questions from you.***\n5:00: Cocktail consultations and social networking\n\nHeavy appetizers and drink tickets\n\n\n~6:30 Dinner in Downtown Whitefish or surrounding area On Your Own or Dinner at Lodge with Group Provided.  – via lodge transportation or On Your Own\n\n\nMonday – 9/14/26\n\n8:00 – Group Breakfast with wrap-up discussion\n9:00 – Continue to work on own data + get individual feedback on taking the next steps\n11:00 – Closing meeting with reflections (Todd Little)\n11:15 – Grab and go box lunches available\n12:00 – Group Lunch\n1:30 – Close of your unique Stats Camp Analysis Retreat experience\nTransportation to the airport via Grouse Mountain Lodge Shuttle\n\n  \n\nDownload Sample Slides and Preview Course Video\nPlease fill out and submit the form below to get instant access to sample statistics training course materials. \n\n\nLooking for a LIVESTREAM event view our online statistics courses.
URL:https://www.statscamp.org/courses/2026-advanced-statistics-analysis-retreat-workshop/
LOCATION:Grouse Mountain Lodge – Whitefish\, Montana\, 2 Fairway Dr\, Whitefish\, MT\, 59937\, United States
CATEGORIES:Analysis Retreat
ATTACH;FMTTYPE=image/jpeg:https://www.statscamp.org/wp-content/uploads/2025/10/Analysis-Retreat-2026.jpg
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