General Cross-Lagged Panel Model (GCLM) in Mplus Workshop, July 15-17
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posted on 2019-07-17, 13:08 authored by MICHAEL ZYPHUR<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>
Funding
ARC Future Fellowship (FF140100629)
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