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International Journal of Child Abuse & Neglect, 2022
BACKGROUND Few studies have employed person-centered approaches (i.e. latent profile analysis in this study) to investigate the specific patterns of childhood maltreatment in a large sample of Chinese adolescents, and little is known about the predictive
Yuhan Zhang +3 more
semanticscholar +1 more source
BACKGROUND Few studies have employed person-centered approaches (i.e. latent profile analysis in this study) to investigate the specific patterns of childhood maltreatment in a large sample of Chinese adolescents, and little is known about the predictive
Yuhan Zhang +3 more
semanticscholar +1 more source
Journal of Affective Disorders
BACKGROUND While many studies have established a positive correlation between adolescents' internet addiction and mental health problems, most of these studies have overlooked the internal heterogeneity of Internet addiction.
Jinpeng Wang +6 more
semanticscholar +1 more source
BACKGROUND While many studies have established a positive correlation between adolescents' internet addiction and mental health problems, most of these studies have overlooked the internal heterogeneity of Internet addiction.
Jinpeng Wang +6 more
semanticscholar +1 more source
Measuring childhood trauma in young adults with depression: A latent profile analysis.
Asian Journal of Psychiatry, 2022Childhood traumas are important risk factors for depression in young adults. However, the co-occurrence of childhood traumas is complex, and the specific effects of different types of childhood traumas on depression need further exploration.
Peilin Wang +8 more
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Journal of Affective Disorders
BACKGROUND Depression and anxiety co-occur frequently and there is heterogeneity in the co-occurrence of such symptoms; however, few previous studies investigated the heterogeneity based on person-centered perspectives in adolescents.
Yuelian Dai +6 more
semanticscholar +1 more source
BACKGROUND Depression and anxiety co-occur frequently and there is heterogeneity in the co-occurrence of such symptoms; however, few previous studies investigated the heterogeneity based on person-centered perspectives in adolescents.
Yuelian Dai +6 more
semanticscholar +1 more source
Epidemiology, 2022
Background: Unsupervised machine learning techniques have become increasingly popular for studying associations between gestational exposure mixtures and human health. Latent profile analysis is one method that has not been fully explored.
Amanda M Yonkman +9 more
semanticscholar +1 more source
Background: Unsupervised machine learning techniques have become increasingly popular for studying associations between gestational exposure mixtures and human health. Latent profile analysis is one method that has not been fully explored.
Amanda M Yonkman +9 more
semanticscholar +1 more source
Body image and eating behaviors: A latent profile analysis.
Body image, 2022Body image is multidimensional and less is known about how the combination of positive and negative body image relates to eating behaviors. We used a person-centered approach to identify profiles of body image and explore the relationship between profile
A. Jackson +4 more
semanticscholar +1 more source
Three Multivariate Models: Factor Analysis, Latent Structure Analysis, and Latent Profile Analysis
Psychometrika, 1959The factor analysis model and Lazarsfeld's latent structure scheme for analyzing dichotomous attributes are derived to show how the latter model avoids three knotty problems in factor analysis: communality estimation, rotation, and curvilinearity.
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A latent profile analysis of nurses’ moral sensitivity
Nursing Ethics, 2019Background: The three-dimensional model of nurses’ moral sensitivity has typically been studied using a variable-centered rather than a person-centered approach, preventing a more complete understanding of how these forms of moral sensitivity are expressed as a whole.
Na Zhang +3 more
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Advancing Multiple Imputation for Latent Profile Analysis
Multivariate Behavioral Research, 2019The treatment of missing data is problematic when conducting latent profile analysis (LPA) when indicator data are missing at random, conditional on auxiliary variables (AVs).
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