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
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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. Strategy and Customer Relations)
Marketing Measurement
Marketing Research Methodology
Marketing Theory
Marketing not elsewhere classified
Organisation and Management Theory
Organisational Behaviour
Organisational Planning and Management
Quality Management
Small Business Management
Sport and Leisure Management
Tourism Management
Tourism Forecasting
Tourism Marketing
Aged Health Care
Epidemiology
Environmental and Occupational Health and Safety
Neurosciences not elsewhere classified
Applied Psychology
Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology)
Clinical Psychology
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Computer Perception, Memory and Attention
Decision Making
Developmental Psychology and Ageing
Developmental and Educational Psychology
Educational Psychology
Forensic Psychology
Gender Psychology
Health, Clinical and Counselling Psychology
Industrial and Organisational Psychology
Knowledge Representation and Machine Learning
Linguistic Processes (incl. 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
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Psychology of Religion
Sensory Processes, Perception and Performance
Social and Community Psychology
Sport and Exercise Psychology
Communication Studies
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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>