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 …

The current study reviewed and synthesized studies employing a person-centered approach
to studying achievement goals. Towards this end, a common labeling scheme was …

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 …

" This is a great overview of the field of model-based clustering and classification by one of
its leading developers. McNicholas provides a resource that I am certain will be used by …

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 …

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 …

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 …

Latent profile analysis (LPA) has become a popular statistical method for modeling
unobserved population heterogeneity in cross-sectionally sampled data, but very few …

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 …

Individuals' math motivational beliefs are theorized to shape their STEM achievement and
engagement in high school and beyond. Combining situated expectancy-value theory and …