On the application of the three-step approach to growth mixture models

Journal article


Diallo, Thierno M. O. and Lu, Hui Zhong. (2017). On the application of the three-step approach to growth mixture models. Structural Equation Modeling: A Multidisciplinary Journal. 24(5), pp. 714 - 732. https://doi.org/10.1080/10705511.2017.1322516
AuthorsDiallo, Thierno M. O. and Lu, Hui Zhong
Abstract

This series of simulation studies evaluate, in the context of applied research settings, the impact of the parameterization of the covariance structure of the growth mixture model (GMM) on the regression coefficient and standard error estimates in the 3-step method. The results show that the 1-step approach performs better than the 3-step method across the simulation studies. However, the performance of the 3-step method depends slightly or importantly on the parameterization of the GGM from the first step, on the inclusion or not of the predictor at the first step of the analysis, on the population model, and on the type (i.e., logit vs. linear) and size of the regression coefficient estimates.

KeywordsBias; classification error; growth mixture modeling; three-step
Year2017
JournalStructural Equation Modeling: A Multidisciplinary Journal
Journal citation24 (5), pp. 714 - 732
PublisherRoutledge
ISSN1070-5511
Digital Object Identifier (DOI)https://doi.org/10.1080/10705511.2017.1322516
Scopus EID2-s2.0-85019617017
Page range714 - 732
Research GroupInstitute for Positive Psychology and Education
Publisher's version
File Access Level
Controlled
Place of publicationUnited Kingdom
Permalink -

https://acuresearchbank.acu.edu.au/item/8897y/on-the-application-of-the-three-step-approach-to-growth-mixture-models

Restricted files

Publisher's version

  • 132
    total views
  • 0
    total downloads
  • 1
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as

Related outputs

A systematic evaluation and comparison between Exploratory Structural Equation Modeling and Bayesian Structural Equation Modeling
Guo, Jiesi, Marsh, Herbert W., Parker, Philip D., Dicke, Theresa, Lüdtke, Oliver and Diallo, Thierno M. O.. (2019). A systematic evaluation and comparison between Exploratory Structural Equation Modeling and Bayesian Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal. 26(4), pp. 529-556. https://doi.org/10.1080/10705511.2018.1554999
An internet-supported school physical activity intervention in low socioeconomic status communities: results from the Activity and Motivation in Physical Education (AMPED) cluster randomised controlled trial
Lonsdale, Chris, Lester, Aidan, Owen, Katherine B., White, Rhiannon L., Peralta, Louise, Kirwan, Morwenna, Diallo, Thierno M. O., Maeder, Anthony J., Bennie, Andrew, MacMillan, Freya, Kolt, Gregory S., Ntoumanis, Nikos, Gore, Jennifer M., Cerin, Ester, Cliff, Dylan P. and Lubans, David R.. (2019). An internet-supported school physical activity intervention in low socioeconomic status communities: results from the Activity and Motivation in Physical Education (AMPED) cluster randomised controlled trial. British Journal of Sports Medicine. 53(6), pp. 341 - 347. https://doi.org/10.1136/bjsports-2017-097904
Adjustment to college and prediction of depression during post-secondary transition
Marcotte, Diane, Diallo, Thierno M. O. and Paré, Marie-Laurence. (2018). Adjustment to college and prediction of depression during post-secondary transition. European Journal of Psychology of Education. 33(4), pp. 727 - 748. https://doi.org/10.1007/s10212-017-0346-9
School physical activity intervention effect on adolescents' performance in mathematics
Lubans, David R., Beauchamp, Mark R., Diallo, Thierno M. O., Peralta, Louisa R., Bennie, Andrew, White, Rhiannon L., Owen, Katherine and Lonsdale, Chris. (2018). School physical activity intervention effect on adolescents' performance in mathematics. Medicine & Science in Sports & Exercise. 50(12), pp. 2442 - 2450. https://doi.org/10.1249/MSS.0000000000001730
Effects of a Dual-Approach Instruction on Students’ Science Achievement and Motivation
Kadir Binte, Munirah Shaik, Yeung, Alex, Ryan, Richard, Forbes, Anne and Diallo, Thierno M. O.. (2018). Effects of a Dual-Approach Instruction on Students’ Science Achievement and Motivation. Educational Psychology Review. https://doi.org/10.1007/s10648-018-9449-3
Individual differences in lexical and grammar spelling across primary school
Morin, Marie-France, Alamargot, Denis, Diallo, Thierno M. O. and Fayol, Michel. (2018). Individual differences in lexical and grammar spelling across primary school. Learning and Individual Differences. 62, pp. 128 - 140. https://doi.org/10.1016/j.lindif.2018.02.002
The impact of total and partial inclusion or exclusion of active and inactive time invariant covariates in growth mixture models
Diallo, Thierno, Morin, Alexandre and Lu, HuiZhong. (2017). The impact of total and partial inclusion or exclusion of active and inactive time invariant covariates in growth mixture models. Psychological Methods. 22(1), pp. 166 - 190. https://doi.org/10.1037/met0000084
Performance of growth mixture models in the presence of time-varying covariates
Diallo, Thierno M. O., Morin, Alexandre and Lu, Hui Zhong. (2017). Performance of growth mixture models in the presence of time-varying covariates. Behavior Research Methods. 49(5), pp. 1951 - 1965. https://doi.org/10.3758/s13428-016-0823-0
Simultaneous testing of four decades of academic self-concept models
Kadir, Munirah Shaik, Yeung, Alexander Seeshing and Diallo, Thierno M. O.. (2017). Simultaneous testing of four decades of academic self-concept models. Contemporary Educational Psychology. 51, pp. 429 - 446. https://doi.org/10.1016/j.cedpsych.2017.09.008
Consequences of misspecifying across-cluster time-specific residuals in multilevel latent growth curve models
Diallo, Thierno and Lu, HuiZhong. (2017). Consequences of misspecifying across-cluster time-specific residuals in multilevel latent growth curve models. Structural Equation Modeling: A Multidisciplinary Journal. 24(3), pp. 359 - 382. https://doi.org/10.1080/10705511.2016.1247647
Impact of misspecifications of the latent variance-covariance and residual matrices on the class enumeration accuracy of growth mixture models
Diallo, Thierno M. O., Morin, Alexandre J. S. and Lu, HuiZhong. (2016). Impact of misspecifications of the latent variance-covariance and residual matrices on the class enumeration accuracy of growth mixture models. Structural Equation Modeling. 23(4), pp. 507 - 531. https://doi.org/10.1080/10705511.2016.1169188
An internet-supported physical activity intervention delivered in secondary schools located in low socio-economic status communities: Study protocol for the Activity and Motivation in Physical Education (AMPED) cluster randomized controlled trial
Lonsdale, Chris, Lester, Aidan, Owens, Katherine B., White, Rhiannon L., Moyes, Ian, Peralta, Louisa R., Kirwan, Morwenna, Maeder, Anthony, Bennie, Andrew, MacMillan, Freya, Kolt, Gregory S., Ntoumanis, Nikos, Gore, Jennifer M., Cerin, Ester, Diallo, Thierno M. O., Cliff, Dylan P. and Lubans, David R.. (2016). An internet-supported physical activity intervention delivered in secondary schools located in low socio-economic status communities: Study protocol for the Activity and Motivation in Physical Education (AMPED) cluster randomized controlled trial. BMC Public Health. 16(17), pp. 1 - 15. https://doi.org/10.1186/s12889-015-2583-7
Power of latent growth curve models to detect piecewise linear trajectories
Diallo, Thierno and Morin, Alexandre. (2015). Power of latent growth curve models to detect piecewise linear trajectories. Structural Equation Modeling: A Multidisciplinary Journal. 22(3), pp. 449 - 460. https://doi.org/10.1080/10705511.2014.935678
Statistical power of latent growth curve models to detect quadratic growth
Diallo, Thierno M. O., Morin, Alexandre J. S. and Parker, Philip D.. (2014). Statistical power of latent growth curve models to detect quadratic growth. Behavior Research Methods. 46(2), pp. 357-371. https://doi.org/10.3758/s13428-013-0395-1
A multidimensional model of school dropout from an 8-year longitudinal study in a general high school population
Fortin, Laurier, Marcotte, Diane, Diallo, Thierno M. O., Potvin, Pierre and Royer, Égide. (2013). A multidimensional model of school dropout from an 8-year longitudinal study in a general high school population. European Journal of Psychology of Education. 28(2), pp. 563 - 583. https://doi.org/10.1007/s10212-012-0129-2