Search results for " latent profile"
showing 5 items of 5 documents
Children’s internet use profiles in relation to behavioral problems in Lithuania, Latvia, and Taiwan
2020
This study explored the profiles of elementary-school-aged children&rsquo
Personality and mentalization: A latent profile analysis of mentalizing problematics in adult patients
2022
Background The aim of this study was to investigate the relationship between patients' mentalizing problematics and their personality; specifically, it aimed to identify clusters of individuals characterized by specific patterns of mentalizing imbalances and to analyze the relationship between these and diagnosis of personality disorder (PD), nonmentalizing modes, emotion dysregulation, and interpersonal reactivity. Methods Four hundred therapeutic dyads were recruited. A part of these (n = 183) only completed clinician-report measures, Mentalization Imbalances Scale, and Modes of Mentalization Scale, while others (n = 217) also completed patients' self-report measures, which were Reflectiv…
Asthma-Related Knowledge and Practices among Mothers of Asthmatic Children: A Latent Class Analysis
2022
Mothers’ knowledge about childhood asthma influences management practices and disease control, but validating knowledge/practice questionnaires is difficult due to the lack of a gold standard. We hypothesized that Latent Class Analysis (LCA) could help identify underlying mother profiles with similar knowledge/practices. A total of 438 mothers of asthmatic children answered a knowledge/practice questionnaire. Using answers to the knowledge/practice questionnaire as manifest variables, LCA identified two classes: Class 1, “poor knowledge” (33%); Class 2, “good knowledge” (67%). Classification accuracy was 0.96. Mothers in Class 2 were more likely to be aware of …
Multilevel Latent Profile Analysis With Covariates : Identifying Job Characteristics Profiles in Hierarchical Data as an Example
2018
Latent profile analysis (LPA) is a person-centered method commonly used in organizational research to identify homogeneous subpopulations of employees within a heterogeneous population. However, in the case of nested data structures, such as employees nested in work departments, multilevel techniques are needed. Multilevel LPA (MLPA) enables adequate modeling of subpopulations in hierarchical data sets. MLPA enables investigation of variability in the proportions of Level 1 profiles across Level 2 units, and of Level 2 latent classes based on the proportions of Level 1 latent profiles and Level 1 ratings, and the extent to which covariates drawn from the different hierarchical levels of th…
Multilevel Latent Profile Analysis With Covariates : Identifying Job Characteristics Profiles in Hierarchical Data as an Example
2018
Latent profile analysis (LPA) is a person-centered method commonly used in organizational research to identify homogeneous subpopulations of employees within a heterogeneous population. However, in the case of nested data structures, such as employees nested in work departments, multilevel techniques are needed. Multilevel LPA (MLPA) enables adequate modeling of subpopulations in hierarchical data sets. MLPA enables investigation of variability in the proportions of Level 1 profiles across Level 2 units, and of Level 2 latent classes based on the proportions of Level 1 latent profiles and Level 1 ratings, and the extent to which covariates drawn from the different hierarchical levels of the…