Estimating the Association between Latent Class Membership and External Variables Using Bias-adjusted Three-step Approaches

By Zsuzsa Bakk, Fetene B. Tekle, Jeroen K. Vermunt. 2013

591 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Genetics

View Paper: https://www.semanticscholar.org/paper/e09cd6d797fafd69f3602f4f175652ce5657c5d6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Genetics

Citations in the corpus

A Comparison of Three-Step Approaches for Auxiliary Variables in Latent Class and Latent Profile Analysis (2017, methodology): “Consistent with Vermunt (2010), Bakk, Tekle, and Vermunt (2013), and Asparouhov and Muthén (2014), Vermunt’s method has been shown to perform better than the PC method for analyzing LCA models with covariates as the latent class predictor under a variety of conditions.”
Help seeking as a self-regulated learning strategy and achievement goals: The case of academically talented adolescents (2018, methodology): “In the second step, individuals were allocated to latent classes using the modal assignment approach, where a case is assigned to the class with the larger posterior membership probability, along with the maximum likelihood (ML) bias correction (see Bakk et al., 2013).”
Bias-Adjusted Three-Step Latent Markov Modeling With Covariates (2016, unknown): “Hence, substituting P ð Y t ¼ y t Þ with its empirical distribution yields The quantity in Equation 12 is strongly related to separation between classes (Bakk et al., 2013; Vermunt, 2010); that is, how well Y predicts the latent classes.”
Mixture Models: Latent Profile and Latent Class Analysis (2016, methodology): “This is done using the poLCA package in R (Linzer and Lewis, 2011; R Core Team, 2012): library(poLCA) 6 For more information on how exactly to properly perform such an analysis see (Bakk et al., 2013).”
Attitudes towards the Use of Educational Robotics: Exploring Pre-Service and In-Service Early Childhood Teacher Profiles (2021, background): “p-value orientations, and the number of parameters [59].”
All better than being disengaged: Student engagement patterns and their relations to academic self-concept and achievement (2020, methodology): “Linkages of engagement patterns, academic self-concept, and achievement To answer the second and third research question, how academic self-concept predicts student engagement patterns, and how engagement patterns relate to subsequent achievement, a manual BCH three-step approach was conducted (Bakk”
Robustness of Stepwise Latent Class Modeling With Continuous Distal Outcomes (2016, methodology): “One method, called ML involves estimating the class-specific means and variances by maximum likelihood while correcting for the classification errors (Bakk et al., 2013; Vermunt, 2010).”