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DTSTART;TZID=America/Chicago:20221208T090000
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UID:4462-1670490000-1670770800@www.statscamp.org
SUMMARY:Longitudinal Structural Equation Modeling (LSEM)
DESCRIPTION:THIS COURSE IS CURRENTLY IN SESSION \nIF YOU PURCHASE NOW YOU GET INSTANT ACCESS TO THE REMAINING LIVE INSTRUCTION AS WELL AS THE ASYNCHRONOUS VIDEO TO REVIEW ON YOUR OWN FOR 1 FULL YEAR.\nNEXT LIVESTREAM LSEM COURSE STARTS – FEBRUARY 17 – 20\, 2023 – ENROLL NOW\, CLICK HERE \nLIVE STREAM – 4-day Statistics Short Course\nDOWNLOAD SAMPLE COURSE SLIDES AND WATCH COURSE VIDEO PREVIEW\nSeminar Overview:\nThis camp is an advanced intensive short seminar in the analysis of longitudinal data using SEM. The seminar will be a series of lectures and computer workshops to provide participants with advanced training in the use of SEM for the analysis of longitudinal data. \nSeminar Topics:\n\nDesign and measurement issues in cross-sectional and longitudinal research\nTraditional panel designs\nOverview of missing data\nLatent growth curve modeling\nTesting for Mediation and Moderation\nMultilevel and multiple group SEM\nUsing Phantom Constructs\nMultiple group modeling\n\nSeminar Description:\nThe seminar will be a series of lectures and computer workshops to provide participants with advanced training in the use of SEM for the analysis of longitudinal data. \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: Whitney Moore\, Ph.D.\n \nDr. Whitney Moore is an Assistant Professor of Kinesiology at East Carolina University. Whitney received her Ph.D. in the Psychosocial Aspects of Health and Physical Activity from the University of Kansas. She has been a Stats Camp instructor since 2012 (after experience being a “counselor” for SEM\, Longitudinal SEM\, and MLM). Whitney has taught graduate courses in research design\, introduction to statistics\, ANOVA\, SEM\, and measurement development at two different R1 institutions. Her research is at the intersection of advanced quantitative methods and psychosocial aspects applied to sport\, exercise\, and physical education contexts. This is particularly illustrated in her work on measurement development; helping to develop or modify 12 measures in the last 10 years. Whitney is particularly interested in planned missing data designs\, finite mixture modeling\, plus mediation and moderation in SEM. \nRead More\n\n\n\nAPA Continuing Education Credits:\n \nThis course offers ? hours of 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:\nThis comprehensive 4-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 4-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.Syllabus\n\n\n\nDay 1\n \n\n\n9:00-10:45\nWelcome and Introductions. Overview of Longitudinal Models\n\n\n10:45-11:00\nSnack and Refreshment Break\n\n\n11:00-12:30\nReview of Foundations of SEM\n\n\n12:30-1:30\nLunch Break\n\n\n1:30-3:00\nParcels and Parceling\n\n\nDay 2\n\n\n\n9:00-10:45\nDesign and Measurement Issues in Longitudinal Modeling\n\n\n10:45-11:00\nSnacks and Refreshment Break\n\n\n11:00-12:30\nLongitudinal Panel Models: Basics\n\n\n12:30-1:30\nLunch Break\n\n\n1:30-3:00\nMultiple-group Longitudinal Panel Models: CFA\, SEM\, & RI-CLPM\n\n\nDay 3\n \n\n\n9:00-10:45\nMixture Modeling\n\n\n10:45-11:00\nSnack and Refreshment Break\n\n\n11:00-12:30\nMixture Modeling\n\n\n12:30-1:30\nLunch Break & Individual Consultations\n\n\n1:30-2:30\nLongitudinal Mediation\n\n\n2:30-3:00\nIndividual Consultations\n\n\nDay 4\n\n\n\n9:00-10:45\nLatent Growth Curve Modeling: Basics & Multivariate and Multiple Groups\n\n\n10:45-11:00\nSnacks and Refreshment Break\n\n\n11:00-12:30\nMissing Data: Planned and Unplanned\n\n\n12:30-1:30\nLunch Break & Individual Consultations\n\n\n1:30-2:30\nLongitudinal Moderation\n\n\n2:30-3:00\nWrap-up then 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/longitudinal-structural-equation-modeling-lsem/
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:Longitudinal SEM,Longitudinal Structural Equation Modeling
ATTACH;FMTTYPE=image/jpeg:https://www.statscamp.org/wp-content/uploads/2022/09/longitudinal-structural-equation-modeling.jpg
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DTSTART;TZID=America/Chicago:20221007T090000
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CREATED:20220729T193714Z
LAST-MODIFIED:20220921T035221Z
UID:3568-1665133200-1665334800@www.statscamp.org
SUMMARY:Mediation and Moderation
DESCRIPTION:LIVE STREAM – 3-day Statistics Short Course\nDOWNLOAD SAMPLE COURSE SLIDES AND WATCH COURSE VIDEO PREVIEW\nSeminar Overview: Mediation and Moderation Training Course\nMediation and moderation analyses are commonly used in many instances. In many scientific fields research questions have become more complex. Researchers are no longer simply interested in if one variable (X) is related to another (Y). Instead\, research questions such as: “Why is X related to Y?” and “When is X related to Y?” abound. This course addresses methods to test why two variables are related (mediation) and when two variables are related (moderation). \nSeminar Topics:\n\nClassic and contemporary approaches of Mediation and Moderation\nEstimating mediation effects\nEstimating Moderation\nPath analysis\nIndirect and direct effects\nTesting intervening variable effects\nProbing and plotting interactions\nCombining moderation and mediation\n\nSeminar Description:\nThis Mediation and Moderation course 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 SPSS with PROCESS MACRO. Participants should have a good working knowledge of the principles and practice of multiple regression and elementary statistical inference. \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 ? hours of 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\nEstimate\, test\, and interpret mediated (i.e.\, indirect) effects using PROCESS macro in SPSS\nEstimate\, test\, and interpret moderated (i.e.\, interaction) effects using PROCESS macro in SPSS  and other advanced techniques\nCombine mediation and moderation models to test conditional indirect effects.\n\nSeminar Prerequisites\nSeminar Prerequisites:\nRequired:\n·       Basic proficiency in multiple linear regression\n\nIntermediate proficiency with at least one statistical software package (e.g.\, SPSS\, Stata\, SAS\, R\, etc.).\n\nNot required but advantageous for Mediation and Moderation training: \n\nAt least limited experience (e.g.\, graduate-level course) path analysis or Structural Equation Modeling training.\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\nDay 1\n Mediation and Moderation Training Course\n\n\n\n9:00-9:30\nWelcome and introductions\n\n\n9:30-10:45\nReview of Multiple Regression and Path analysis\n\n\n10:45-11:00\nSnack and refreshments break\n\n\n11:00-12:30\nIntroduction to Mediation\n\n\n12:30-13:30\nLunch break\n\n\n13:30-15:00\nMediation using PROCESS macro with SPSS\n\n\n15:00-15:15\nSnack and refreshments break\n\n\n15:15-17:00\nSerial and Parallel Mediation\n\n\nDay 2\n\n\n\n9:00-10:45\nComputing\, testing and Interpreting Mediation using PROCESS\n\n\n10:45-11:00\nSnack and refreshments break\n\n\n11:00-12:30\nIntroduction to Moderation\n\n\n12:30-13:30\nLunch break\n\n\n13:30-15:00\nCategorical Moderators Using PROCESS\n\n\n15:00-15:15\nSnack and refreshments break\n\n\n15:15-17:00\nContinuous Moderators and Multiple Moderators\n\n\nDay 3\n\n\n\n9:00-10:45\nGraphing and Interpreting Moderation in PROCESS\n\n\n10:45-11:00\nSnack and refreshments break\n\n\n11:00-12:30\nCombining mediation and moderation\n\n\n12:30-13:30\nLunch break\n\n\n13:30-17:00\nTesting and interpreting conditional Indirect effects \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/mediation-and-moderation-fall/
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,UCLA Camp
ATTACH;FMTTYPE=image/jpeg:https://www.statscamp.org/wp-content/uploads/2022/07/mediation-and-moderation-virtual-course.jpg
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DTSTART;TZID=America/Denver:20220922T090000
DTEND;TZID=America/Denver:20220925T170000
DTSTAMP:20260408T001751
CREATED:20220707T002711Z
LAST-MODIFIED:20221018T214009Z
UID:3093-1663837200-1664125200@www.statscamp.org
SUMMARY:Analysis Retreat: Whitefish Montana
DESCRIPTION:All-Inclusive In-Person – 4-day Statistics Training Retreat\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. \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\nThursday\n\nTBD – Morning Nature Experience (if your arrive Wednesday)\n\nTransportation from the airport via Grouse Mountain Lodge Shuttle (For a Small Fee)\n\n\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\nFriday\n\nTBD – Morning Nature Experience\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\nSaturday\n\nTBD: Morning Nature Experience\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\nSunday\n\nTBD: Morning Nature Experience\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/analysis-retreat-whitefish-montana/
LOCATION:Grouse Mountain Lodge – Whitefish\, Montana\, 2 Fairway Dr\, Whitefish\, MT\, 59937\, United States
CATEGORIES:Analysis Retreat
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