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Wangdisser3.21.20.pdf (1.72 MB)
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A Latent Growth Curve Analysis of Neuroticism In a U.S. National Sample
Author Info
Wang, Fangning
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=kent1579707277442367
Abstract Details
Year and Degree
2020, PHD, Kent State University, College of Education, Health and Human Services / School of Foundations, Leadership and Administration.
Abstract
To date, the developmental trajectories of neuroticism, as well as the longitudinal interrelationship among neuroticism, depression, health, and childhood misfortune, have not been verified in a nationally representative U.S. sample. This study aims to determine the trajectories of neuroticism and examine how additive childhood misfortune affects the co-development of neuroticism and depression. Longitudinal data from 5,377 individuals who responded to the national survey of Midlife Development in the U.S. (MIDUS) were analyzed. The latent growth model (LGM) and latent growth class model (LGCA) were used to analyze the heterogeneity of individual growth trajectories of neuroticism. Bivariate latent growth models (BLGM) with both time-invariant and time-varying covariates were used to investigate the co-development of neuroticism and depression. The results of Manuscript 1 suggested that nearly half (49.3%) of participants were in the medium neuroticism class; however, a third of participants had low neuroticism across time (33.4%), and substantial minority course trajectories characterized by high neuroticism (17.3%). Robust predictors of membership in the low neuroticism class were gender, age, education, and self-rated financial situation. Individuals with more adverse experiences in childhood were more likely to have a trajectory characterized by medium and high neuroticism. The results of Manuscript 2 suggested that participants generally experienced decreases in neuroticism and depression, and trajectories of neuroticism and depression were closely related to each other. Additive childhood misfortune (ACM) predicted changes in both neuroticism and depression after controlling other covariates. Multimorbidity significantly predicted neuroticism and depression at each time point.
Committee
Jian Li (Committee Chair)
Jason Schenker (Committee Member)
Kelly Cichy (Committee Member)
Pages
194 p.
Subject Headings
Public Health
Keywords
neuroticism, depression, latent growth model, latent growth class analysis
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Citations
Wang, F. (2020).
A Latent Growth Curve Analysis of Neuroticism In a U.S. National Sample
[Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1579707277442367
APA Style (7th edition)
Wang, Fangning.
A Latent Growth Curve Analysis of Neuroticism In a U.S. National Sample.
2020. Kent State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=kent1579707277442367.
MLA Style (8th edition)
Wang, Fangning. "A Latent Growth Curve Analysis of Neuroticism In a U.S. National Sample." Doctoral dissertation, Kent State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1579707277442367
Chicago Manual of Style (17th edition)
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Document number:
kent1579707277442367
Download Count:
526
Copyright Info
© 2020, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.