16 recherche sur le mot-clé 'Structural equation modeling'

How do collective student behavior and other classroom contextual factors relate to teachers' implementation of an evidence-based intervention? A multilevel structural equation model / Rashelle J. MUSCI in Development and Psychopathology, 31-5 (December 2019)  

Public ISBD [article]  inDevelopment and Psychopathology > 31-5 (December 2019) . - p.1827-1835 Titre : How do collective student behavior and other classroom contextual factors relate to teachers' implementation of an evidence-based intervention? A multilevel structural equation model Type de document : texte imprimé Auteurs : Rashelle J. MUSCI, Auteur ; Elise T. PAS, Auteur ; Amie F. BETTENCOURT, Auteur ; Katherine E. MASYN, Auteur ; Nicholas S. IALONGO, Auteur ; Catherine P. BRADSHAW, Auteur Année de publication : 2019 Article en page(s) : p.1827-1835 Langues : Anglais (eng) Mots-clés : aggression  multilevel  structural equation modeling Index. décimale : PER Périodiques Résumé : Building on prior work regarding the potential for peer contagion or deviance training in group delivered interventions (Dishion & Dodge, 2005, 2006; Dodge, Dishion, & Lansford, 2006), we leveraged data from a randomized trial, testing the integration of two preventive interventions (Promoting Alternative THinking Strategies and PAX Good Behavior Game), to explore the extent to which classroom contextual factors served as either a barrier to or a motivator for teachers to implement the evidence-based PAX Good Behavior Game with high frequency or dosage. We included students' baseline levels of behavior, measured with regard to both positive (i.e., engagement and social emotional skills) and negative (i.e., hyperactive and aggressive-disruptive) behaviors. Data were collected from 204 teachers in 18 urban elementary schools. A series of multilevel structural equation models were fit to the data. The analyses indicated that classrooms with higher classroom levels of aggressive behavior, on average, at baseline had teachers with lower implementation dosage (i.e., played fewer games) across the school year. In addition, teachers who reported higher baseline levels of emotional exhaustion, regardless of student behavior, also reported lower implementation dosage. Taken together, the results indicated that negative, but not positive, contextual factors at baseline were related to lower implementation dosage; this, in turn, suggests that negative contextual factors may serve as a barrier, rather than a motivator, of teachers' implementation dosage of classroom-based preventive interventions. En ligne : http://dx.doi.org/10.1017/s095457941900097x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=412 [article] How do collective student behavior and other classroom contextual factors relate to teachers' implementation of an evidence-based intervention? A multilevel structural equation model [texte imprimé] / Rashelle J. MUSCI, Auteur ; Elise T. PAS, Auteur ; Amie F. BETTENCOURT, Auteur ; Katherine E. MASYN, Auteur ; Nicholas S. IALONGO, Auteur ; Catherine P. BRADSHAW, Auteur . - 2019 . - p.1827-1835. Langues : Anglais (eng) in Development and Psychopathology > 31-5 (December 2019) . - p.1827-1835 Mots-clés : aggression  multilevel  structural equation modeling Index. décimale : PER Périodiques Résumé : Building on prior work regarding the potential for peer contagion or deviance training in group delivered interventions (Dishion & Dodge, 2005, 2006; Dodge, Dishion, & Lansford, 2006), we leveraged data from a randomized trial, testing the integration of two preventive interventions (Promoting Alternative THinking Strategies and PAX Good Behavior Game), to explore the extent to which classroom contextual factors served as either a barrier to or a motivator for teachers to implement the evidence-based PAX Good Behavior Game with high frequency or dosage. We included students' baseline levels of behavior, measured with regard to both positive (i.e., engagement and social emotional skills) and negative (i.e., hyperactive and aggressive-disruptive) behaviors. Data were collected from 204 teachers in 18 urban elementary schools. A series of multilevel structural equation models were fit to the data. The analyses indicated that classrooms with higher classroom levels of aggressive behavior, on average, at baseline had teachers with lower implementation dosage (i.e., played fewer games) across the school year. In addition, teachers who reported higher baseline levels of emotional exhaustion, regardless of student behavior, also reported lower implementation dosage. Taken together, the results indicated that negative, but not positive, contextual factors at baseline were related to lower implementation dosage; this, in turn, suggests that negative contextual factors may serve as a barrier, rather than a motivator, of teachers' implementation dosage of classroom-based preventive interventions. En ligne : http://dx.doi.org/10.1017/s095457941900097x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=412

Early social interactions and young school-aged children's behavioral problems: Converging evidence from theory- and data-driven approaches / Jiahao LIANG in Journal of Child Psychology and Psychiatry, 66-10 (October 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-10 (October 2025) . - p.1539-1550 Titre : Early social interactions and young school-aged children's behavioral problems: Converging evidence from theory- and data-driven approaches Type de document : texte imprimé Auteurs : Jiahao LIANG, Auteur ; Yiji WANG, Auteur Article en page(s) : p.1539-1550 Langues : Anglais (eng) Mots-clés : Social interactions  internalizing problems  externalizing problems  machine learning  structural equation modeling Index. décimale : PER Périodiques Résumé : Background Although prior studies have established the relation between social interactions and behavioral adjustment, it remains unclear whether aspects of early social interactions are uniquely related to behavioral problems and the relative importance of each in predicting internalizing and externalizing problems. Using traditional theory-driven and novel data-driven perspectives, this longitudinal study simultaneously evaluated the role of preschool mother?child, teacher ?child, and peer interactions in predicting internalizing and externalizing problems in early grade school. Methods At 36 months, the quality of children's social interactions with mothers, teachers, and peers were observed and coded (N 1,028). Mothers later reported children's internalizing and externalizing problems in first grade. Theory-driven structural equation modeling (SEM) and data-driven machine learning models (i.e., random forests and support vector machines) were performed separately for data analysis. Results The results showed that machine learning models, particularly support vector machines, outperformed SEM in model performance. Regarding the relative importance of predictors, SEM suggested that indicators of early peer interactions uniquely predicted behavioral problems in early grade school when those of teacher?child and mother?child interactions were considered simultaneously. Machine learning models consistently demonstrated that indicators of early peer interactions had the highest feature importance and were among the highest ranking predictors of children's subsequent behavioral adjustment. Conclusions The findings contribute converging evidence from theory- and data-driven approaches to better understand the longitudinal associations between preschoolers' social interactions and later behavioral adjustments in early grade school. En ligne : https://doi.org/10.1111/jcpp.14166 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=568 [article] Early social interactions and young school-aged children's behavioral problems: Converging evidence from theory- and data-driven approaches [texte imprimé] / Jiahao LIANG, Auteur ; Yiji WANG, Auteur . - p.1539-1550. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-10 (October 2025) . - p.1539-1550 Mots-clés : Social interactions  internalizing problems  externalizing problems  machine learning  structural equation modeling Index. décimale : PER Périodiques Résumé : Background Although prior studies have established the relation between social interactions and behavioral adjustment, it remains unclear whether aspects of early social interactions are uniquely related to behavioral problems and the relative importance of each in predicting internalizing and externalizing problems. Using traditional theory-driven and novel data-driven perspectives, this longitudinal study simultaneously evaluated the role of preschool mother?child, teacher ?child, and peer interactions in predicting internalizing and externalizing problems in early grade school. Methods At 36 months, the quality of children's social interactions with mothers, teachers, and peers were observed and coded (N 1,028). Mothers later reported children's internalizing and externalizing problems in first grade. Theory-driven structural equation modeling (SEM) and data-driven machine learning models (i.e., random forests and support vector machines) were performed separately for data analysis. Results The results showed that machine learning models, particularly support vector machines, outperformed SEM in model performance. Regarding the relative importance of predictors, SEM suggested that indicators of early peer interactions uniquely predicted behavioral problems in early grade school when those of teacher?child and mother?child interactions were considered simultaneously. Machine learning models consistently demonstrated that indicators of early peer interactions had the highest feature importance and were among the highest ranking predictors of children's subsequent behavioral adjustment. Conclusions The findings contribute converging evidence from theory- and data-driven approaches to better understand the longitudinal associations between preschoolers' social interactions and later behavioral adjustments in early grade school. En ligne : https://doi.org/10.1111/jcpp.14166 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=568

Exposure to early childhood maltreatment and its effect over time on social cognition / Katherine M. CRAWFORD in Development and Psychopathology, 34-1 (February 2022)  

Public ISBD [article]  inDevelopment and Psychopathology > 34-1 (February 2022) . - p.409-419 Titre : Exposure to early childhood maltreatment and its effect over time on social cognition Type de document : texte imprimé Auteurs : Katherine M. CRAWFORD, Auteur ; Karmel CHOI, Auteur ; Kathryn A. DAVIS, Auteur ; Yiwen ZHU, Auteur ; Thomas W. SOARE, Auteur ; Andrew D.A.C. SMITH, Auteur ; Laura GERMINE, Auteur ; Erin C. DUNN, Auteur Article en page(s) : p.409-419 Langues : Anglais (eng) Mots-clés : adversity  ALSPAC  sensitive periods  social cognition  structural equation modeling Index. décimale : PER Périodiques Résumé : Social cognitive deficits can have many negative consequences, spanning social withdrawal to psychopathology. Prior work has shown that child maltreatment may associate with poorer social cognitive skills in later life. However, no studies have examined this association from early childhood into adolescence. Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 4,438), we examined the association between maltreatment (caregiver physical or emotional abuse; sexual or physical abuse), assessed repeatedly (every 1 3 years) from birth to age 9, and social cognitive skills at ages 7.5, 10.5, and 14 years. We evaluated the role of both the developmental timing (defined by age at exposure) and accumulation of maltreatment (defined as the number of occasions exposed) using a least angle regression variable selection procedure, followed by structural equation modeling. Among females, accumulation of maltreatment explained the most variation in social cognitive skills. For males, no significant associations were found. These findings underscore the importance of early intervention to minimize the accumulation of maltreatment and showcase the importance of prospective studies to understand the development of social cognition over time. En ligne : http://dx.doi.org/10.1017/s095457942000139x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474 [article] Exposure to early childhood maltreatment and its effect over time on social cognition [texte imprimé] / Katherine M. CRAWFORD, Auteur ; Karmel CHOI, Auteur ; Kathryn A. DAVIS, Auteur ; Yiwen ZHU, Auteur ; Thomas W. SOARE, Auteur ; Andrew D.A.C. SMITH, Auteur ; Laura GERMINE, Auteur ; Erin C. DUNN, Auteur . - p.409-419. Langues : Anglais (eng) in Development and Psychopathology > 34-1 (February 2022) . - p.409-419 Mots-clés : adversity  ALSPAC  sensitive periods  social cognition  structural equation modeling Index. décimale : PER Périodiques Résumé : Social cognitive deficits can have many negative consequences, spanning social withdrawal to psychopathology. Prior work has shown that child maltreatment may associate with poorer social cognitive skills in later life. However, no studies have examined this association from early childhood into adolescence. Using data from the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 4,438), we examined the association between maltreatment (caregiver physical or emotional abuse; sexual or physical abuse), assessed repeatedly (every 1 3 years) from birth to age 9, and social cognitive skills at ages 7.5, 10.5, and 14 years. We evaluated the role of both the developmental timing (defined by age at exposure) and accumulation of maltreatment (defined as the number of occasions exposed) using a least angle regression variable selection procedure, followed by structural equation modeling. Among females, accumulation of maltreatment explained the most variation in social cognitive skills. For males, no significant associations were found. These findings underscore the importance of early intervention to minimize the accumulation of maltreatment and showcase the importance of prospective studies to understand the development of social cognition over time. En ligne : http://dx.doi.org/10.1017/s095457942000139x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=474

Identifying School-Based Factors that Predict Employment Outcomes for Transition-Age Youth with Autism Spectrum Disorder / Jasin WONG in Journal of Autism and Developmental Disorders, 51-1 (January 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-1 (January 2021) . - p.60-74 Titre : Identifying School-Based Factors that Predict Employment Outcomes for Transition-Age Youth with Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Jasin WONG, Auteur ; Wendy J. COSTER, Auteur ; Ellen S. COHN, Auteur ; Gael I. ORSMOND, Auteur Article en page(s) : p.60-74 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Daily functioning skills  Nlts-2  Secondary analysis  Structural equation modeling  Transition Index. décimale : PER Périodiques Résumé : There is a growing need to provide appropriate services to help students with autism spectrum disorder (ASD) transition to employment. Limited research has investigated what aspects of support should be prioritized when preparing youth with ASD for employment. By conducting structural equation modeling using a nationally-representative dataset on high school students receiving special education services (NLTS-2), this study examined the malleable predictors of employment during the transition and developed a model to examine the relationships between predictors and employment outcomes. The findings suggested two pathways for youth with ASD. For youth with higher daily functioning skills (DFS), academic performance mediated the relationship between parent participation and employment. For youth with lower DFS, school-based transition supports was the key mediator. En ligne : http://dx.doi.org/10.1007/s10803-020-04515-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=437 [article] Identifying School-Based Factors that Predict Employment Outcomes for Transition-Age Youth with Autism Spectrum Disorder [texte imprimé] / Jasin WONG, Auteur ; Wendy J. COSTER, Auteur ; Ellen S. COHN, Auteur ; Gael I. ORSMOND, Auteur . - p.60-74. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-1 (January 2021) . - p.60-74 Mots-clés : Autism spectrum disorder  Daily functioning skills  Nlts-2  Secondary analysis  Structural equation modeling  Transition Index. décimale : PER Périodiques Résumé : There is a growing need to provide appropriate services to help students with autism spectrum disorder (ASD) transition to employment. Limited research has investigated what aspects of support should be prioritized when preparing youth with ASD for employment. By conducting structural equation modeling using a nationally-representative dataset on high school students receiving special education services (NLTS-2), this study examined the malleable predictors of employment during the transition and developed a model to examine the relationships between predictors and employment outcomes. The findings suggested two pathways for youth with ASD. For youth with higher daily functioning skills (DFS), academic performance mediated the relationship between parent participation and employment. For youth with lower DFS, school-based transition supports was the key mediator. En ligne : http://dx.doi.org/10.1007/s10803-020-04515-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=437

Influence of reporting effects on the association between maternal depression and child autism spectrum disorder behaviors / Teresa BENNETT in Journal of Child Psychology and Psychiatry, 53-1 (January 2012)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 53-1 (January 2012) . - p.89-96 Titre : Influence of reporting effects on the association between maternal depression and child autism spectrum disorder behaviors Type de document : texte imprimé Auteurs : Teresa BENNETT, Auteur ; Michael H. BOYLE, Auteur ; Katholiki GEORGIADES, Auteur ; Stelios GEORGIADES, Auteur ; Ann THOMPSON, Auteur ; Eric DUKU, Auteur ; Susan E. BRYSON, Auteur ; Eric FOMBONNE, Auteur ; Tracy VAILLANCOURT, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Isabel M. SMITH, Auteur ; Pat MIRENDA, Auteur ; Wendy ROBERTS, Auteur ; Joanne VOLDEN, Auteur ; Charlotte WADDELL, Auteur ; THE PATHWAYS IN ASD STUDY TEAM, Auteur ; Peter SZATMARI, Auteur Année de publication : 2012 Article en page(s) : p.89-96 Langues : Anglais (eng) Mots-clés : Autistic disorder  Asperger’s disorder  methodology  maternal depression  structural equation modeling Index. décimale : PER Périodiques Résumé : Background:  Maximizing measurement accuracy is an important aim in child development assessment and research. Parents are essential informants in the diagnostic process, and past research suggests that certain parental characteristics may influence how they report information about their children. This has not been studied in autism spectrum disorders (ASD) to date. We aimed, therefore, to investigate the possible effect that maternal depression might have on a mother’s reports of her child’s ASD behaviors. Using structural equation modeling, we disaggregated shared from unique variation in the association between latent variable measures of maternal depression and ASD behaviors. Methods:  Data were obtained from a study of preschoolers aged 2–4 newly diagnosed with ASD (n = 214). Information from a parent questionnaire, a semi-structured parent interview, and a semi-structured observational assessment was used to develop a latent variable measure of child ASD behaviors. Mothers reported on their own depression symptoms. We first modeled the covariance between maternal depression and child ASD behavior. Then, to quantify unique variation, we added covariance terms between maternal depression and the residual variation associated with the individual measures of child ASD behaviors. Results:  The model demonstrated excellent fit to the underlying data. Maternal self-report of depression symptoms exhibited a significant association with the unique variance of the questionnaire report but not with the latent variable measure of child ASD behavior. A gradient pattern of association was demonstrated between maternal depression and the unique variance of the ASD measures: most strongly for the maternal questionnaire report, more weakly for the maternal semi-structured interview, and to a trivial extent for the observational interview. Conclusions:  Parental depression may influence reporting of ASD behaviors in preschoolers. Shared method effects may also contribute to bias. This finding highlights the importance of obtaining multimethod reports of child ASD symptoms. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2011.02451.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=148 [article] Influence of reporting effects on the association between maternal depression and child autism spectrum disorder behaviors [texte imprimé] / Teresa BENNETT, Auteur ; Michael H. BOYLE, Auteur ; Katholiki GEORGIADES, Auteur ; Stelios GEORGIADES, Auteur ; Ann THOMPSON, Auteur ; Eric DUKU, Auteur ; Susan E. BRYSON, Auteur ; Eric FOMBONNE, Auteur ; Tracy VAILLANCOURT, Auteur ; Lonnie ZWAIGENBAUM, Auteur ; Isabel M. SMITH, Auteur ; Pat MIRENDA, Auteur ; Wendy ROBERTS, Auteur ; Joanne VOLDEN, Auteur ; Charlotte WADDELL, Auteur ; THE PATHWAYS IN ASD STUDY TEAM, Auteur ; Peter SZATMARI, Auteur . - 2012 . - p.89-96. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 53-1 (January 2012) . - p.89-96 Mots-clés : Autistic disorder  Asperger’s disorder  methodology  maternal depression  structural equation modeling Index. décimale : PER Périodiques Résumé : Background:  Maximizing measurement accuracy is an important aim in child development assessment and research. Parents are essential informants in the diagnostic process, and past research suggests that certain parental characteristics may influence how they report information about their children. This has not been studied in autism spectrum disorders (ASD) to date. We aimed, therefore, to investigate the possible effect that maternal depression might have on a mother’s reports of her child’s ASD behaviors. Using structural equation modeling, we disaggregated shared from unique variation in the association between latent variable measures of maternal depression and ASD behaviors. Methods:  Data were obtained from a study of preschoolers aged 2–4 newly diagnosed with ASD (n = 214). Information from a parent questionnaire, a semi-structured parent interview, and a semi-structured observational assessment was used to develop a latent variable measure of child ASD behaviors. Mothers reported on their own depression symptoms. We first modeled the covariance between maternal depression and child ASD behavior. Then, to quantify unique variation, we added covariance terms between maternal depression and the residual variation associated with the individual measures of child ASD behaviors. Results:  The model demonstrated excellent fit to the underlying data. Maternal self-report of depression symptoms exhibited a significant association with the unique variance of the questionnaire report but not with the latent variable measure of child ASD behavior. A gradient pattern of association was demonstrated between maternal depression and the unique variance of the ASD measures: most strongly for the maternal questionnaire report, more weakly for the maternal semi-structured interview, and to a trivial extent for the observational interview. Conclusions:  Parental depression may influence reporting of ASD behaviors in preschoolers. Shared method effects may also contribute to bias. This finding highlights the importance of obtaining multimethod reports of child ASD symptoms. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2011.02451.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=148

Parent Expectations Mediate Outcomes for Young Adults with Autism Spectrum Disorder / Anne V. KIRBY in Journal of Autism and Developmental Disorders, 46-5 (May 2016)  

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Respite Care, Stress, Uplifts, and Marital Quality in Parents of Children with Down Syndrome / Michelle NORTON in Journal of Autism and Developmental Disorders, 46-12 (December 2016)  

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School participation in autistic girls and boys: The role of social-communication abilities and extrinsic barriers / Adeline LACROIX in Autism, 30-5 (May 2026)  

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Brief Report: Stress and Perceived Social Support in Parents of Children with ASD / Kateryna DROGOMYRETSKA in Journal of Autism and Developmental Disorders, 50-11 (November 2020)  

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Anxiety disorder symptoms at age 10 predict eating disorder symptoms and diagnoses in adolescence / Katherine SCHAUMBERG in Journal of Child Psychology and Psychiatry, 60-6 (June 2019)  

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