Life and Job Satisfaction in China (eBook, PDF)
Exploring Longitudinal Analysis with Mplus
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This book examines subjective wellbeing in China in terms of life and job satisfaction from a longitudinal perspective during the last decade. Using quantitative methods, the research presented in this volume performed a longitudinal analysis of data collected by the China Family Panel Studies (CFPS) from 2010 to 2018 to study the effects of social and economic transformations on life and job satisfaction among the Chinese population in this period.Using Mplus software, the authors applied different quantitative methods of longitudinal analysis - such as latent growth models (LGM), latent grow...
This book examines subjective wellbeing in China in terms of life and job satisfaction from a longitudinal perspective during the last decade. Using quantitative methods, the research presented in this volume performed a longitudinal analysis of data collected by the China Family Panel Studies (CFPS) from 2010 to 2018 to study the effects of social and economic transformations on life and job satisfaction among the Chinese population in this period.
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. The results reveal a process of growing inequalities between life and jobsatisfaction 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.
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. The results reveal a process of growing inequalities between life and jobsatisfaction 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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