Exploring for the Change in Change of Employment Status Over Time
Saima Ishaque *
UMT, Hasan Murad School of Management Sciences, Pakistan.
Ahsan-Ul-Haq Satti
UMT, Hasan Murad School of Management Sciences, Pakistan.
*Author to whom correspondence should be addressed.
Abstract
The study seeks to explore for presence of dissimilar developmental paths in employment status of American individuals. The empirical longitudinal exercise is conducted with hybrid latent class growth model and latent class growth mixtures. For testing the hypothesis of heterogeneous subgroups within employment status data three mainstream modelling variants of growth modelling are tested and elaborated in terms of model performance. Progressive employment status based typology is found robust to alternative model specifications voting for presence of clustered growth patterns in experiencing employment status over time. The resulted employment status based typology describes three clusters of active, inactive and mediocre active participants in terms of moving between various stages of employment status for the age span of 18years to 35 years i.e., from adult to post adult prime working life years. The presented approach to understand and explore employment status is novel perspective compared to classic survey based employment status data.
Keywords: Hybrid latent class growth model, growth mixtures, two level bivariate residuals, BLRT