To measure objective social status, as jointly determined by education, income, and occupation, we deliberately dropped those who had never worked, which resulted in a sample of 76,946.5 Due to missing data, our working sample for analysis shrunk to 68,054.
– Quality of life (QoL) with a self-administered questionnaire, KIDSCREEN [ 28], and with the Child Health Questionnaire (CHQ), a generic instrument for measuring objective QoL and health status for children, both designed for the general population and children with various diseases.
To construct the measure of status discordance, we first use latent class analysis (LCA) to generate a unidimensional measure of objective status in so much we can quantify the divergence between objective and subjective social status.
Based on the large sample of a decade, we used latent class analysis to generate a unidimensional measure of objective status, which uses one's education, income, and occupational prestige.
Holding other factors fixed, people with higher educational attainment tend to have less status discordance, measured by subtracting objective status from subjective status.
If we measure the status discordance by subtracting objective status from subjective status, we can further propose the following three hypotheses regarding the effects of three major objective social indicators of class, based on the R&R-blend argument: H2.1 Educational attainment is negatively correlated with status discordance.
We construct the measure of status discordance by subtracting objective status generated by latent class analysis from self-rated social position.
Based on the nationally representative data assembled from 10 waves of two leading projects (Chinese General Social Survey (CGSS) and Chinese Social Survey (CSS)) between 2003 and 2012, we construct a unidimensional measure of objective social position using latent class analysis and exploit the discrepancy between subjective and objective status to construct a measure for status discordance.
Subtracting the objective status variable from the subjective status variable, we obtain a measure of status discordance ranging from −4 to 4. In addition, we also draw on Sosnaud et al. (2013) and classify status discordance into three types: concordant status, inflated status, and deflated status.
To measure agreement between objective weight status and self-perceived weight status, kappa statistics based on the survey weighted cell percentages were calculated.
