Sample Size Requirements in Single- and Multiphase Growth Mixture Models: A Monte Carlo Simulation Study

2012 ◽  
Vol 19 (3) ◽  
pp. 457-476 ◽  
Author(s):  
Su-Young Kim
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Sample Size ◽  
Mixture Models ◽  
Simulation Study ◽  
Monte Carlo Simulation Study ◽  
Growth Mixture Models ◽  
Growth Mixture

scholarly journals Residual-Based Algorithm for Growth Mixture Modeling: A Monte Carlo Simulation Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Katerina M. Marcoulides ◽  
Laura Trinchera
Keyword(s):  
Mixture Models ◽  
Simulation Study ◽  
Growth Mixture Modeling ◽  
Individual Case ◽  
Mixture Modeling ◽  
Monte Carlo Simulation Study ◽  
New Approach ◽  
Growth Mixture Models ◽  
Growth Mixture ◽  
Number Of Classes

Growth mixture models are regularly applied in the behavioral and social sciences to identify unknown heterogeneous subpopulations that follow distinct developmental trajectories. Marcoulides and Trinchera (2019) recently proposed a mixture modeling approach that examines the presence of multiple latent classes by algorithmically grouping or clustering individuals who follow the same estimated growth trajectory based on an evaluation of individual case residuals. The purpose of this article was to conduct a simulation study that examines the performance of this new approach for determining the number of classes in growth mixture models. The performance of the approach to correctly identify the number of classes is examined under a variety of longitudinal data design conditions. The findings demonstrated that the new approach was a very dependable indicator of classes across all the design conditions considered.

Uncertainty in Stock Composition Estimates of Oceanic Steelhead Trout Using Electrophoretic Characteristics: Comments on a Recent Study

1988 ◽  
Vol 45 (3) ◽  
pp. 432-442 ◽  
Author(s):  
T. J. Mulligan ◽  
S. McKinnell ◽  
C. C. Wood
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Sample Size ◽  
Simulation Study ◽  
Recent Literature ◽  
Steelhead Trout ◽  
Monte Carlo Simulation Study ◽  
Electrophoretic Data ◽  
Mixed Stock ◽  
Insight Into

Analysis of stock composition of mixed-stock fisheries using electrophoretic data is gaining acceptance for both research and management purposes. However, a thorough understanding of the influence of sample size, stock separation, and estimation procedures is required before meaningful results can be obtained. An example from the recent literature is reanalyzed to demonstrate this conclusion. We show how widely different results are obtained from the same data when analyzed by two different models. Some insight into these differences is achieved through a Monte Carlo simulation study.

Sign in / Sign up

Export Citation Format

Share Document