Configural frequency trees / Wolfgang WIEDERMANN in Development and Psychopathology, 34-4 (October 2022)  

Public ISBD [article]  inDevelopment and Psychopathology > 34-4 (October 2022) . - p.1585-1603 Titre : Configural frequency trees Type de document : texte imprimé Auteurs : Wolfgang WIEDERMANN, Auteur ; Keith C. HERMAN, Auteur ; Wendy REINKE, Auteur ; Alexander VON EYE, Auteur Article en page(s) : p.1585-1603 Langues : Anglais (eng) Mots-clés : Humans  Psychology, Developmental  Psychopathology  configural frequency analysis  model-based recursive partitioning  moderation  person-oriented research  regression trees Index. décimale : PER Périodiques Résumé : Although variable-oriented analyses are dominant in developmental psychopathology, researchers have championed a person-oriented approach that focuses on the individual as a totality. This view has methodological implications and various person-oriented methods have been developed to test person-oriented hypotheses. Configural frequency analysis (CFA) has been identified as a prime method for a person-oriented analysis of categorical data. CFA searches for configurations in cross-classifications and asks whether the number of observed cases is larger (CFA type) or smaller (CFA antitype) than expected under a probability model. The present study introduces a combination of CFA and model-based recursive partitioning (MOB) to test for type/antitype heterogeneity in the population. MOB CFA is well suited to detect complex moderation processes and can distinguish between subpopulation and population types/antitypes. Model specifications are discussed for first-order CFA and prediction CFA. Results from two simulation studies suggest that MOB CFA is able to detect moderation processes with high accuracy. Two empirical examples are given from school mental health research for illustrative purposes. The first example evaluates heterogeneity in student behavior types/antitypes, the second example focuses on the effect of a teacher classroom management intervention on student behavior. An implementation of the approach is provided in R. En ligne : http://dx.doi.org/10.1017/s0954579421000018 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489 [article] Configural frequency trees [texte imprimé] / Wolfgang WIEDERMANN, Auteur ; Keith C. HERMAN, Auteur ; Wendy REINKE, Auteur ; Alexander VON EYE, Auteur . - p.1585-1603. Langues : Anglais (eng) in Development and Psychopathology > 34-4 (October 2022) . - p.1585-1603 Mots-clés : Humans  Psychology, Developmental  Psychopathology  configural frequency analysis  model-based recursive partitioning  moderation  person-oriented research  regression trees Index. décimale : PER Périodiques Résumé : Although variable-oriented analyses are dominant in developmental psychopathology, researchers have championed a person-oriented approach that focuses on the individual as a totality. This view has methodological implications and various person-oriented methods have been developed to test person-oriented hypotheses. Configural frequency analysis (CFA) has been identified as a prime method for a person-oriented analysis of categorical data. CFA searches for configurations in cross-classifications and asks whether the number of observed cases is larger (CFA type) or smaller (CFA antitype) than expected under a probability model. The present study introduces a combination of CFA and model-based recursive partitioning (MOB) to test for type/antitype heterogeneity in the population. MOB CFA is well suited to detect complex moderation processes and can distinguish between subpopulation and population types/antitypes. Model specifications are discussed for first-order CFA and prediction CFA. Results from two simulation studies suggest that MOB CFA is able to detect moderation processes with high accuracy. Two empirical examples are given from school mental health research for illustrative purposes. The first example evaluates heterogeneity in student behavior types/antitypes, the second example focuses on the effect of a teacher classroom management intervention on student behavior. An implementation of the approach is provided in R. En ligne : http://dx.doi.org/10.1017/s0954579421000018 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489

Patterns of Psychopathology in Children with ADHD: A Latent Profile Analysis / Rick OSTRANDER in Journal of Clinical Child & Adolescent Psychology, 37-4 (October-December 2008)  

Public ISBD [article]  inJournal of Clinical Child & Adolescent Psychology > 37-4 (October-December 2008) . - p.833-847 Titre : Patterns of Psychopathology in Children with ADHD: A Latent Profile Analysis Type de document : texte imprimé Auteurs : Rick OSTRANDER, Auteur ; Keith C. HERMAN, Auteur ; Jason SIKORSKI, Auteur ; Phil MASCENDARO, Auteur ; Sharon F. LAMBERT, Auteur Année de publication : 2008 Article en page(s) : p.833-847 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : This study used latent profile modeling (LPA) with a community sample that included an enriched sampling of children (aged 6-11) diagnosed with attention deficit/hyperactivity disorder (ADHD) (N = 271). Six classes of ADHD emerged from our LPA; only 17% of children fell into a class without significant co-occurring symptoms. In addition, nearly half of children were assigned to classes that could not be reliably distinguished using existing DSM-IV subtypes. For the most part, each of the classes was clearly differentiated from a sample of community controls and had clinical diagnoses and child self-reports that were consistent with expectations given by their latent profile of symptoms. Although each of the respective classes of ADHD had elevated levels of hyperactivity and/or attention problems, the current findings suggest that an exclusive reliance on these dimensions is a largely inadequate method of subtype classification. To the contrary, our findings suggest that ADHD subtypes can be more reliably partitioned based on the degree to which they display disruptive behavior, internalizing symptoms, or both. En ligne : http://dx.doi.org/10.1080/15374410802359668 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=646 [article] Patterns of Psychopathology in Children with ADHD: A Latent Profile Analysis [texte imprimé] / Rick OSTRANDER, Auteur ; Keith C. HERMAN, Auteur ; Jason SIKORSKI, Auteur ; Phil MASCENDARO, Auteur ; Sharon F. LAMBERT, Auteur . - 2008 . - p.833-847. Langues : Anglais (eng) in Journal of Clinical Child & Adolescent Psychology > 37-4 (October-December 2008) . - p.833-847 Index. décimale : PER Périodiques Résumé : This study used latent profile modeling (LPA) with a community sample that included an enriched sampling of children (aged 6-11) diagnosed with attention deficit/hyperactivity disorder (ADHD) (N = 271). Six classes of ADHD emerged from our LPA; only 17% of children fell into a class without significant co-occurring symptoms. In addition, nearly half of children were assigned to classes that could not be reliably distinguished using existing DSM-IV subtypes. For the most part, each of the classes was clearly differentiated from a sample of community controls and had clinical diagnoses and child self-reports that were consistent with expectations given by their latent profile of symptoms. Although each of the respective classes of ADHD had elevated levels of hyperactivity and/or attention problems, the current findings suggest that an exclusive reliance on these dimensions is a largely inadequate method of subtype classification. To the contrary, our findings suggest that ADHD subtypes can be more reliably partitioned based on the degree to which they display disruptive behavior, internalizing symptoms, or both. En ligne : http://dx.doi.org/10.1080/15374410802359668 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=646

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