Practitioner's guide to latent class analysis: methodological considerations and common pitfalls
Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and
statistical inference. There has been a recent upsurge in the application of latent class …
statistical inference. There has been a recent upsurge in the application of latent class …
A new look at multiple goal pursuit: The promise of a person-centered approach
The current study reviewed and synthesized studies employing a person-centered approach
to studying achievement goals. Towards this end, a common labeling scheme was …
to studying achievement goals. Towards this end, a common labeling scheme was …
Is adding more indicators to a latent class analysis beneficial or detrimental? Results of a Monte-Carlo study
The purpose of this study was to examine in which way adding more indicators or a
covariate influences the performance of latent class analysis (LCA). We varied the sample …
covariate influences the performance of latent class analysis (LCA). We varied the sample …
Moral character in the workplace.
Using two 3-month diary studies and a large cross-sectional survey, we identified
distinguishing features of adults with low versus high levels of moral character. Adults with …
distinguishing features of adults with low versus high levels of moral character. Adults with …
Person-centered methodologies in the organizational sciences: Introduction to the feature topic
The 2011 Organizational Research Methods Feature Topic on latent class procedures has
helped to establish person-centered analyses as a method of choice in the organizational …
helped to establish person-centered analyses as a method of choice in the organizational …
Disentangling shape from level effects in person-centered analyses: An illustration based on university teachers' multidimensional profiles of effectiveness
This study compares alternative ways of disentangling the effects of level (the tendency for a
person to be high, medium, or low across all factors) and shape (the tendency for a person …
person to be high, medium, or low across all factors) and shape (the tendency for a person …
Modeling unobserved heterogeneity using latent profile analysis: A Monte Carlo simulation
J Peugh, X Fan - Structural Equation Modeling: A Multidisciplinary …, 2013 - Taylor & Francis
Latent profile analysis (LPA) has become a popular statistical method for modeling
unobserved population heterogeneity in cross-sectionally sampled data, but very few …
unobserved population heterogeneity in cross-sectionally sampled data, but very few …
Developmental trajectories of math anxiety during adolescence: Associations with STEM career choice
W Ahmed - Journal of adolescence, 2018 - Elsevier
The purpose of this study was to determine if there were distinct developmental trajectories
of math anxiety during adolescence and if these trajectories predicted later STEM career …
of math anxiety during adolescence and if these trajectories predicted later STEM career …
[HTML][HTML] Gender by racial/ethnic intersectionality in the patterns of adolescents' math motivation and their math achievement and engagement
Individuals' math motivational beliefs are theorized to shape their STEM achievement and
engagement in high school and beyond. Combining situated expectancy-value theory and …
engagement in high school and beyond. Combining situated expectancy-value theory and …
Fuzzy profiles: Comparing and contrasting latent profile analysis and fuzzy set qualitative comparative analysis for person-centered research
Person-centered approaches to organizational scholarship can provide critical insights into
how sets of related constructs uniquely combine to predict outcomes. Within micro topics …
how sets of related constructs uniquely combine to predict outcomes. Within micro topics …