Using Mplus software, the authors applied different quantitative methods of longitudinal analysis - such as latent growth models (LGM), latent growth mixture model (LGMM), parallel analysis, cross-lagged models (CL), latent change score (LCS), and multilevel longitudinal models (MLM) - to explore the trajectory of three variables on the CFPS data between 2010 and 2018: life satisfaction, job satisfaction and the interplay between job and life satisfaction. Theresults reveal a process of growing inequalities between life and job satisfaction among the Chinese population over time.
Life and Job Satisfaction in China: Exploring Longitudinal Analysis with Mplus will be of interest to sociologists, statisticians and applied researchers interested in applying quantitative methods to develop longitudinal studies of quality of life in China.
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