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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
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DTSTART;TZID=America/Chicago:20221007T090000
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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
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