10.26188/5d2f1da6a791e MICHAEL ZYPHUR MICHAEL ZYPHUR General Cross-Lagged Panel Model (GCLM) in Mplus Workshop, July 15-17 The University of Melbourne 2019 Panel data cross-lagged panel design cross-lagged panel models cross-lagged panel analyses cross-lagged effects vector autoregressive model panel vector error correction model Vector autoregressive models Moving average Dynamic panel data model Dynamic panel Generalized Method dynamic panel MPlus Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence) Business Information Systems Business and Management not elsewhere classified Commerce, Management, Tourism and Services not elsewhere classified Entrepreneurship Financial Econometrics Hospitality Management Human Resources Management Industrial Relations Innovation and Technology Management International Business Logistics and Supply Chain Management Marketing Communications Marketing Management (incl. 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Speech Production and Comprehension) Mental Health Neurocognitive Patterns and Neural Networks Neuroscience and Physiological Psychology Organizational Behavioral Psychology Personality, Abilities and Assessment Psychological Methodology, Design and Analysis Personality, Social and Criminal Psychology Psychology and Cognitive Sciences not elsewhere classified Psychology not elsewhere classified Psychology of Religion Sensory Processes, Perception and Performance Social and Community Psychology Sport and Exercise Psychology Communication Studies Applied Economics not elsewhere classified Cross-Sectional Analysis Ecological Economics Econometric and Statistical Methods Econometrics not elsewhere classified Economic Models and Forecasting Financial Economics Health Economics Industry Economics and Industrial Organisation International Economics and International Finance Labour Economics Macroeconomic Theory Mathematical Economics Panel Data Analysis 2019-07-17 13:08:21 Media https://melbourne.figshare.com/articles/media/General_Cross-Lagged_Panel_Model_GCLM_in_Mplus_Workshop_July_15-17/8943866 <div>This 3-day workshop introduces the General Cross-Lagged Panel Model (GCLM), proposed in a recent two-paper series at Organizational Research Methods -- see the first paper <a href="https://journals.sagepub.com/doi/full/10.1177/1094428119847278" target="_blank">here</a> (pdf <a href="https://www.dropbox.com/s/ee3nj7cw4bigptx/Zyphur et al., 2019 (From data to causes I- Building a general cross-lagged panel model (GCLM)).pdf?dl=0" target="_blank">here</a>) and the second <a href="https://journals.sagepub.com/doi/full/10.1177/1094428119847280" target="_blank">here</a> (pdf <a href="https://www.dropbox.com/s/bjrq7rkdjmlhhul/Zyphur et al., 2019 (From data to causes II- Comparing approaches to panel data analysis).pdf?dl=0" target="_blank">here</a>). The online supplemental materials are <a href="https://melbourne.figshare.com/articles/From_Data_to_Causes_I_and_II_GCLM_Supplemental_Materials/7927211" target="_blank">here</a>, and <a href="https://youtu.be/tHnnaRNPbXs" target="_blank">here</a> is a YouTube presentation briefly introducing the approach. The 3-day workshop materials include lecture videos, PowerPoint slides, Mplus files, and data associated with the papers. The workshop starts with an introduction to Mplus including regression, path analysis, and structural equation modeling (SEM) before proceeding to the GCLM. An Excel spreadsheet is included in the materials to automate Mplus input for the GCLM and related panel data models.</div><div><br></div><div>The two papers are as follows:<br></div><div><br> <p>Zyphur, M. J., Allison, P. D., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2019). From data to causes I: Building a general cross-lagged panel model (GCLM). Organizational Research Methods. https://doi.org/10.1177/1094428119847278</p> <p> </p> <p>Zyphur, M. J., Voelkle, M. C., Tay, L., Allison, P. D., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2019). From data to causes II: Comparing approaches to panel data analysis. Organizational Research Methods. https://doi.org/10.1177/1094428119847280</p> </div>