Longitudinal data analysis
By Robert E. Ployhart, Brian C. Holtz, P. Bliese. 2002
113 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/bece5b53c6054e7512c896e4d93f27cd81e691cb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Zachary N. J. Horn
- Stephen J. Zaccaro
- Robert A. Roe
- Robert J. Vandenberg
- Michael S. Cole
- John Antonakis
- Adam W. Meade
- Eldad Davidov
Citations in the corpus
- Time in applied psychology: The study of "what happens" rather than "what is." (2008, methodology): “Ployhart et al. (2002) described the application of random coefficient modeling to leadership development, while an application of latent growth modeling to employee adjustment can be found in Lance and Vandenberg (2000).”
- Growth Modeling Using Random Coefficient Models: Model Building, Testing, and Illustrations (2002, background): “For example, Ployhart et al. (2002) show how simply changing the coding of time can result in different significance tests for the time parameters.”
- Leadership theory and practice: Fostering an effective symbiosis (2003, background): “Day and Lance (in press) describe statistical methods, such as growth modeling, that fit within a longitudinal approach and can track causal processes that emerge over time (see also Ployhart et al., 2002).”
- Longitudinal Research: The Theory, Design, and Analysis of Change (2010, background): “There are many sources describing RCM growth models, ranging from relatively nontechnical (Ployhart et al., 2002; Singer, 1998) to technical (Bliese & Ployhart, 2002; Raudenbush & Bryk, 2002; Singer & Willett, 2003).”