scholarly journals Identifying latent trajectories of personality disorder symptom change: Growth mixture modeling in the longitudinal study of personality disorders.

2013 ◽  
Vol 122 (1) ◽  
pp. 138-155 ◽  
Author(s):  
Michael N. Hallquist ◽  
Mark F. Lenzenweger
Keyword(s):  
Longitudinal Study ◽  
Personality Disorder ◽  
Personality Disorders ◽  
Growth Mixture Modeling ◽  
Mixture Modeling ◽  
Symptom Change ◽  
Growth Mixture ◽  
Disorder Symptom ◽  
Latent Trajectories

scholarly journals Trajectories of Calling in the Transition From University to Work: A Growth Mixture Analysis

2020 ◽  
Vol 29 (1) ◽  
pp. 98-114
Author(s):  
Chunyu Zhang ◽  
Andreas Hirschi ◽  
Xuqun You
Keyword(s):  
Longitudinal Study ◽  
University Students ◽  
Developmental Trajectories ◽  
Growth Mixture Modeling ◽  
Career Transition ◽  
Mixture Modeling ◽  
Proactive Personality ◽  
Mixture Analysis ◽  
Growth Mixture ◽  
Growth Mixture Analysis

Research on the development of calling is still in its infancy and rarely focused on how calling changes during a major career transition. The current study examined the developmental trajectories of calling and their relation with personality (i.e., conscientiousness, proactive personality) in the transition from university to work with a three-wave longitudinal study with 340 Chinese graduating university students. Results based on growth mixture modeling indicated three developmental trajectories of calling: high and stable calling (23% of sample), high but decreasing calling (74%), and low and increasing calling (3%). Moreover, higher conscientiousness related to a higher chance of being classified into the high and stable calling trajectory. These findings add notable insights to the literature by exploring the previously neglected developmental trajectories of calling and their association with personality in the transition from university to work.

scholarly journals Fifteen-Year Prevalence, Trajectories, and Predictors of Body Dissatisfaction From Adolescence to Middle Adulthood

2019 ◽  
Vol 7 (6) ◽  
pp. 1403-1415 ◽  
Author(s):  
Shirley B. Wang ◽  
Ann F. Haynos ◽  
Melanie M. Wall ◽  
Chen Chen ◽  
Marla E. Eisenberg ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Body Dissatisfaction ◽  
Critical Period ◽  
Growth Mixture Modeling ◽  
Self Esteem ◽  
Population Based ◽  
Mixture Modeling ◽  
Parental Communication ◽  
Growth Mixture ◽  
Weight Growth

Body dissatisfaction is common in adolescence and associated with negative outcomes (e.g., eating disorders). We identified common individual trajectories of body dissatisfaction from midadolescence to adulthood and predictors of divergent patterns. Participants were 1,455 individuals from four waves of Project EAT (Eating and Activity in Teens and Young Adults), a population-based, 15-year longitudinal study. Aggregate body dissatisfaction increased over 15 years, which was largely attributable to increases in weight. Growth mixture modeling identified four common patterns of body dissatisfaction, revealing nearly 95% of individuals experienced relatively stable body dissatisfaction from adolescence through adulthood. Baseline depression, self-esteem, parental communication/caring, peer dieting, and weight-based teasing predicted differing trajectories. Body dissatisfaction appears largely stable from midadolescence onward. There may be a critical period for body image development during childhood/early adolescence. Clinicians should intervene with clients experiencing body dissatisfaction before it becomes chronic and target depression, self-esteem, parent/child connectedness, and responses to teasing and peer dieting.

Die Identifikation früher Veränderungsmuster in der ambulanten Psychotherapie

2007 ◽  
Vol 36 (2) ◽  
pp. 93-104 ◽  
Author(s):  
Wolfgang Lutz ◽  
Niklaus Stulz ◽  
David W. Smart ◽  
Michael J. Lambert
Keyword(s):  
Growth Mixture Modeling ◽  
Mixture Modeling ◽  
Growth Mixture

Zusammenfassung. Theoretischer Hintergrund: Im Rahmen einer patientenorientierten Psychotherapieforschung werden Patientenausgangsmerkmale und Veränderungsmuster in einer frühen Therapiephase genutzt, um Behandlungsergebnisse und Behandlungsdauer vorherzusagen. Fragestellung: Lassen sich in frühen Therapiephasen verschiedene Muster der Veränderung (Verlaufscluster) identifizieren und durch Patientencharakteristika vorhersagen? Erlauben diese Verlaufscluster eine Vorhersage bezüglich Therapieergebnis und -dauer? Methode: Anhand des Growth Mixture Modeling Ansatzes wurden in einer Stichprobe von N = 2206 ambulanten Patienten einer US-amerikanischen Psychotherapieambulanz verschiedene latente Klassen des frühen Therapieverlaufs ermittelt und unter Berücksichtigung unterschiedlicher Patientenausgangscharakteristika als Prädiktoren der frühen Veränderungen mit dem Therapieergebnis und der Therapiedauer in Beziehung gesetzt. Ergebnisse: Für leicht, mittelschwer und schwer beeinträchtigte Patienten konnten je vier unterschiedliche Verlaufscluster mit jeweils spezifischen Prädiktoren identifiziert werden. Die Identifikation der frühen Verlaufsmuster ermöglichte weiterhin eine spezifische Vorhersage für die unterschiedlichen Verlaufscluster bezüglich des Therapieergebnisses und der Therapiedauer. Schlussfolgerungen: Frühe Psychotherapieverlaufsmuster können einen Beitrag zu einer frühzeitigen Identifikation günstiger sowie ungünstiger Therapieverläufe leisten.

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