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Latent profile analysis (LPA), a type of finite mixture model, has grown in popularity due to its ability to detect latent classes or unobserved subgroups within a sample. Though numerous methods exist to determine the correct number of classes, past research has repeatedly demonstrated that no one method is consistently

Latent profile analysis (LPA), a type of finite mixture model, has grown in popularity due to its ability to detect latent classes or unobserved subgroups within a sample. Though numerous methods exist to determine the correct number of classes, past research has repeatedly demonstrated that no one method is consistently the best as each tends to struggle under specific conditions. Recently, the likelihood incremental percentage per parameter (LI3P), a method using a new approach, was proposed and tested which yielded promising initial results. To evaluate this new method more thoroughly, this study simulated 50,000 datasets, manipulating factors such as sample size, class distance, number of items, and number of classes. After evaluating the performance of the LI3P on simulated data, the LI3P is applied to LPA models fit to an empirical dataset to illustrate the method’s application. Results indicate the LI3P performs in line with standard class enumeration techniques, and primarily reflects class separation and the number of classes.
ContributorsHoupt, Russell Paul (Author) / Grimm, Kevin J (Thesis advisor) / McNeish, Daniel (Committee member) / Edwards, Michael C (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Drawing upon the theoretical framework of Cooley’s (1902) “looking-glass self” model, the current study examined how affective dimensions of parenting in adolescence contribute to psychopathology in early adulthood through the mediating mechanism of authenticity – one’s level of comfort with being oneself. Using latent profile analysis (LPA), a three-class solution

Drawing upon the theoretical framework of Cooley’s (1902) “looking-glass self” model, the current study examined how affective dimensions of parenting in adolescence contribute to psychopathology in early adulthood through the mediating mechanism of authenticity – one’s level of comfort with being oneself. Using latent profile analysis (LPA), a three-class solution was identified, classifying inadequate, adequate, and optimal profiles of parenting in adolescence. Class membership was used in a multilevel mediation structural equation model to examine longitudinal links with authenticity and psychopathology (e.g., internalizing, externalizing, and substance abuse disorders) in early adulthood. Results demonstrated that optimal compared to inadequate parent-adolescent relationship quality was directly linked to higher levels of authenticity, which in turn, was directly linked to lower levels of all forms of psychopathology in early adulthood. Results also indicated that authenticity fully mediated the link between profiles of parent-adolescent relationship quality (e.g., grade 12) and internalizing, externalizing, and substance abuse disorders in early adulthood (e.g., four years post-college). In conclusion, the current study demonstrated the influence of affective dimensions of parenting profiles in adolescence on the development of psychopathology in early adulthood via the mediating mechanism of authenticity. Moreover, findings from the current study suggest that authenticity is a critical feature shared in common among various forms of psychopathology. Finally, clinical implications are discussed regarding the potential effectiveness of evidence-based psychotherapies aimed at the promotion of authenticity as a mechanism for improving mental health and well-being.
ContributorsEbbert, Ashley Marie (Author) / Infurna, Frank J (Thesis advisor) / Luthar, Suniya S (Committee member) / Grimm, Kevin J (Committee member) / Krasnow, Aaron D (Committee member) / Arizona State University (Publisher)
Created2021