Methods and Measures: Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups
By Nilam Ram, Kevin J. Grimm. International Journal of Behavioral Development, 2009
1,081 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Health
View Paper: https://www.semanticscholar.org/paper/45c0a58a915cddb259bae3d1ee1b2229ca8f2558
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- John P. Meyer
- Alexandre J. S. Morin
- K. Salmela‐Aro
- B. Kochenderfer-Ladd
- Karen Nylund-Gibson
- Gilbert R. Parra
- G. Ladd
- Idean Ettekal
In Health
- Karen Nylund-Gibson
- Ryan P. Grimm
- B. Kochenderfer-Ladd
- Gilbert R. Parra
- Alexandre J. S. Morin
- G. Ladd
- Idean Ettekal
- A. Choi
Citations in the corpus
- Prediction from Latent Classes: A Demonstration of Different Approaches to Include Distal Outcomes in Mixture Models (2019, background): “Some argue when entropy is high, such as .80 or higher (Clark & Muthén, 2009; Ram & Grimm, 2009), the classification error could be considered negligible and this approach estimates mean differences without much bias (Bolck, Croon, & Hagenaars, 2004).”
- A person‐centered approach to commitment research: Theory, research, and methodology (2016, background): “As for LPA, more flexible GMM may provide a much richer perspective (see Morin, Maïano, et al., 2011; Morin et al., 2013; Ram & Grimm, 2009), although the ability to estimate these models is likely to be limited with smaller samples, or fewer time points.”
- Peer Victimization Trajectories From Kindergarten Through High School: Differential Pathways for Children’s School Engagement and Achievement? (2017, methodology): “Several criteria were used to determine the optimal solution, and for each model, multiple fit indices were evaluated in addition to examining whether the trajectory classes appeared substantively and conceptually meaningful (Ram & Grimm, 2009; Tofighi & Enders, 2008).”
- Integrating the light and dark sides of student engagement using person-oriented and situation-specific approaches (2016, methodology): “However, such variable-oriented approaches describe overall tendencies between variables, behind which differently functioning subgroups of individuals may be concealed (Bergman & Magnusson, 1997; Reizle, 2013). When engagement and burnout are analyzed together with person-oriented approaches, a dif”
- Ten Frequently Asked Questions About Latent Class Analysis (2018, positive): “In this case, we recommend that fit for these candidate models be presented and that the solutions be studied closely (Masyn, 2013; B. O. Muthén, 2003; Ram & Grimm, 2009).”
- An introduction to latent variable mixture modeling (part 1): overview and cross-sectional latent class and latent profile analyses. (2014, methodology): “Ram and Grimm (2009) recommend estimating one more class than is expected.”
- Maximizing the potential of EEG as a developmental neuroscience tool (2023, methodology): “The inspiration for this article format follows successful recent examples from other fields (e.g., Kievit et al., 2018; Ram and Grimm, 2009).”