19 recherche sur le mot-clé 'Confirmatory factor analysis'

A comprehensive psychometric analysis of autism-spectrum quotient factor models using two large samples: Model recommendations and the influence of divergent traits on total-scale scores / Michael C. W. ENGLISH in Autism Research, 13-1 (January 2020)  

Public ISBD [article]  inAutism Research > 13-1 (January 2020) . - p.45-60 Titre : A comprehensive psychometric analysis of autism-spectrum quotient factor models using two large samples: Model recommendations and the influence of divergent traits on total-scale scores Type de document : Texte imprimé et/ou numérique Auteurs : Michael C. W. ENGLISH, Auteur ; Gilles E. GIGNAC, Auteur ; Troy A. W. VISSER, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Murray T. MAYBERY, Auteur Article en page(s) : p.45-60 Langues : Anglais (eng) Mots-clés : Aq  Raine study  autism  autism-spectrum quotient  autistic traits  confirmatory factor analysis  factor model Index. décimale : PER Périodiques Résumé : The Autism-Spectrum Quotient (AQ) is a psychometric scale that is commonly used to assess autistic-like traits and behaviors expressed by neurotypical individuals. A potential strength of the AQ is that it provides subscale scores that are specific to certain dimensions associated with autism such as social difficulty and restricted interests. However, multiple psychometric evaluations of the AQ have led to substantial disagreement as to how many factors exist in the scale, and how these factors are defined. These challenges have been exacerbated by limitations in study designs, such as insufficient sample sizes as well as a reliance on Pearson, rather than polychoric, correlations. In addition, several proposed models of the AQ suggest that some factors are uncorrelated, or negatively correlated, which has ramifications for whether total-scale scores are meaningfully interpretable-an issue not raised by previous work. The aims of the current study were to provide: (a) guidance as to which models of the AQ are viable for research purposes, and (b) evidence as to whether total-scale scores are adequately interpretable for research purposes. We conducted a comprehensive series of confirmatory factor analyses on 11 competing AQ models using two large samples drawn from an undergraduate population (n = 1,702) and the general population (n = 1,280). Psychometric evidence largely supported using the three-factor model described by Russell-Smith et al. [Personality and Individual Differences 51(2), 128-132 (2011)], but did not support the use of total-scale scores. We recommend that researchers consider using AQ subscale scores instead of total-scale scores. Autism Res 2020, 13: 45-60. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: We examined 11 different ways of scoring subscales in the popular Autism-Spectrum Quotient (AQ) questionnaire in two large samples of participants (i.e., general population and undergraduate students). We found that a three-subscale model that used "Social Skill," "Patterns/Details," and "Communication/Mindreading" subscales was the best way to examine specific types of autistic traits in the AQ. We also found some weak associations between the three subscales-for example, being high on the "Patterns/Details" subscale was not predictive of scores on the other subscales. This means that meaningful interpretation of overall scores on the AQ is limited. En ligne : http://dx.doi.org/10.1002/aur.2198 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=4150 [article] A comprehensive psychometric analysis of autism-spectrum quotient factor models using two large samples: Model recommendations and the influence of divergent traits on total-scale scores [Texte imprimé et/ou numérique] / Michael C. W. ENGLISH, Auteur ; Gilles E. GIGNAC, Auteur ; Troy A. W. VISSER, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Murray T. MAYBERY, Auteur . - p.45-60. Langues : Anglais (eng) in Autism Research > 13-1 (January 2020) . - p.45-60 Mots-clés : Aq  Raine study  autism  autism-spectrum quotient  autistic traits  confirmatory factor analysis  factor model Index. décimale : PER Périodiques Résumé : The Autism-Spectrum Quotient (AQ) is a psychometric scale that is commonly used to assess autistic-like traits and behaviors expressed by neurotypical individuals. A potential strength of the AQ is that it provides subscale scores that are specific to certain dimensions associated with autism such as social difficulty and restricted interests. However, multiple psychometric evaluations of the AQ have led to substantial disagreement as to how many factors exist in the scale, and how these factors are defined. These challenges have been exacerbated by limitations in study designs, such as insufficient sample sizes as well as a reliance on Pearson, rather than polychoric, correlations. In addition, several proposed models of the AQ suggest that some factors are uncorrelated, or negatively correlated, which has ramifications for whether total-scale scores are meaningfully interpretable-an issue not raised by previous work. The aims of the current study were to provide: (a) guidance as to which models of the AQ are viable for research purposes, and (b) evidence as to whether total-scale scores are adequately interpretable for research purposes. We conducted a comprehensive series of confirmatory factor analyses on 11 competing AQ models using two large samples drawn from an undergraduate population (n = 1,702) and the general population (n = 1,280). Psychometric evidence largely supported using the three-factor model described by Russell-Smith et al. [Personality and Individual Differences 51(2), 128-132 (2011)], but did not support the use of total-scale scores. We recommend that researchers consider using AQ subscale scores instead of total-scale scores. Autism Res 2020, 13: 45-60. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: We examined 11 different ways of scoring subscales in the popular Autism-Spectrum Quotient (AQ) questionnaire in two large samples of participants (i.e., general population and undergraduate students). We found that a three-subscale model that used "Social Skill," "Patterns/Details," and "Communication/Mindreading" subscales was the best way to examine specific types of autistic traits in the AQ. We also found some weak associations between the three subscales-for example, being high on the "Patterns/Details" subscale was not predictive of scores on the other subscales. This means that meaningful interpretation of overall scores on the AQ is limited. En ligne : http://dx.doi.org/10.1002/aur.2198 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=4150

Are Autistic Traits Measured Equivalently in Individuals With and Without An Autism Spectrum Disorder? An Invariance Analysis of the Autism Spectrum Quotient Short Form / Aja L. MURRAY in Journal of Autism and Developmental Disorders, 44-1 (January 2014)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 44-1 (January 2014) . - p.55-64 Titre : Are Autistic Traits Measured Equivalently in Individuals With and Without An Autism Spectrum Disorder? An Invariance Analysis of the Autism Spectrum Quotient Short Form Type de document : Texte imprimé et/ou numérique Auteurs : Aja L. MURRAY, Auteur ; Tom BOOTH, Auteur ; Karen MCKENZIE, Auteur ; Renate KUENSSBERG, Auteur ; Michael O’DONNELL, Auteur Article en page(s) : p.55-64 Langues : Anglais (eng) Mots-clés : Autism  Autistic traits  Measurement invariance  Confirmatory factor analysis  Autism spectrum quotient Index. décimale : PER Périodiques Résumé : It is common to administer measures of autistic traits to those without autism spectrum disorders (ASDs) with, for example, the aim of understanding autistic personality characteristics in non-autistic individuals. Little research has examined the extent to which measures of autistic traits actually measure the same traits in the same way across those with and without an ASD. We addressed this question using a multi-group confirmatory factor invariance analysis of the Autism Quotient Short Form (AQ-S: Hoekstra et al. in J Autism Dev Disord 41(5):589–596, 2011) across those with (n = 148) and without (n = 168) ASD. Metric variance (equality of factor loadings), but not scalar invariance (equality of thresholds), held suggesting that the AQ-S measures the same latent traits in both groups, but with a bias in the manner in which trait levels are estimated. We, therefore, argue that the AQ-S can be used to investigate possible causes and consequences of autistic traits in both groups separately, but caution is due when combining or comparing levels of autistic traits across the two groups. En ligne : http://dx.doi.org/10.1007/s10803-013-1851-6 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=2206 [article] Are Autistic Traits Measured Equivalently in Individuals With and Without An Autism Spectrum Disorder? An Invariance Analysis of the Autism Spectrum Quotient Short Form [Texte imprimé et/ou numérique] / Aja L. MURRAY, Auteur ; Tom BOOTH, Auteur ; Karen MCKENZIE, Auteur ; Renate KUENSSBERG, Auteur ; Michael O’DONNELL, Auteur . - p.55-64. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 44-1 (January 2014) . - p.55-64 Mots-clés : Autism  Autistic traits  Measurement invariance  Confirmatory factor analysis  Autism spectrum quotient Index. décimale : PER Périodiques Résumé : It is common to administer measures of autistic traits to those without autism spectrum disorders (ASDs) with, for example, the aim of understanding autistic personality characteristics in non-autistic individuals. Little research has examined the extent to which measures of autistic traits actually measure the same traits in the same way across those with and without an ASD. We addressed this question using a multi-group confirmatory factor invariance analysis of the Autism Quotient Short Form (AQ-S: Hoekstra et al. in J Autism Dev Disord 41(5):589–596, 2011) across those with (n = 148) and without (n = 168) ASD. Metric variance (equality of factor loadings), but not scalar invariance (equality of thresholds), held suggesting that the AQ-S measures the same latent traits in both groups, but with a bias in the manner in which trait levels are estimated. We, therefore, argue that the AQ-S can be used to investigate possible causes and consequences of autistic traits in both groups separately, but caution is due when combining or comparing levels of autistic traits across the two groups. En ligne : http://dx.doi.org/10.1007/s10803-013-1851-6 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=2206

The factor structure of ADHD in a general population of primary school children / Anne Karin ULLEBO in Journal of Child Psychology and Psychiatry, 53-9 (September 2012)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 53-9 (September 2012) . - p.927-36 Titre : The factor structure of ADHD in a general population of primary school children Type de document : Texte imprimé et/ou numérique Auteurs : Anne Karin ULLEBO, Auteur ; Kyrre BREIVIK, Auteur ; Christopher GILLBERG, Auteur ; Astri J. LUNDERVOLD, Auteur ; Maj-Britt POSSERUD, Auteur Année de publication : 2012 Article en page(s) : p.927-36 Langues : Anglais (eng) Mots-clés : ADHD  bifactor  confirmatory factor analysis  sex  informant Index. décimale : PER Périodiques Résumé : Objective:  To examine whether a bifactor model with a general ADHD factor and domain specific factors of inattention, hyperactivity and impulsivity was supported in a large general population sample of children. We also explored the utility of forming subscales based on the domain-specific factors. Methods:  Child mental health questionnaires were completed by both teachers and parents of all children in grades 2–4 in Bergen, Norway. Confirmatory factor analysis was performed on the ADHD items of a modified version of the Swanson, Nolan and Pelham Questionnaire–IV (SNAP-IV) for 6,237 children. Results:  The bifactor model showed very good model fit with a strong general ADHD factor and specific factors for impulsivity and inattention. The subfactors, especially hyperactivity, generated from the SNAP-IV ADHD items conveyed little unique variance in the model. Conclusions:  The findings in this general population sample with a strong general ADHD factor in the bifactor model supports the view on ADHD as a unitary concept with specific domain factors for inattention and impulsivity, but not for hyperactivity. The bifactor model questions the utility of constructing ADHD subscales by the use of a simple sum score when using the SNAP-IV. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02549.x Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=1797 [article] The factor structure of ADHD in a general population of primary school children [Texte imprimé et/ou numérique] / Anne Karin ULLEBO, Auteur ; Kyrre BREIVIK, Auteur ; Christopher GILLBERG, Auteur ; Astri J. LUNDERVOLD, Auteur ; Maj-Britt POSSERUD, Auteur . - 2012 . - p.927-36. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 53-9 (September 2012) . - p.927-36 Mots-clés : ADHD  bifactor  confirmatory factor analysis  sex  informant Index. décimale : PER Périodiques Résumé : Objective:  To examine whether a bifactor model with a general ADHD factor and domain specific factors of inattention, hyperactivity and impulsivity was supported in a large general population sample of children. We also explored the utility of forming subscales based on the domain-specific factors. Methods:  Child mental health questionnaires were completed by both teachers and parents of all children in grades 2–4 in Bergen, Norway. Confirmatory factor analysis was performed on the ADHD items of a modified version of the Swanson, Nolan and Pelham Questionnaire–IV (SNAP-IV) for 6,237 children. Results:  The bifactor model showed very good model fit with a strong general ADHD factor and specific factors for impulsivity and inattention. The subfactors, especially hyperactivity, generated from the SNAP-IV ADHD items conveyed little unique variance in the model. Conclusions:  The findings in this general population sample with a strong general ADHD factor in the bifactor model supports the view on ADHD as a unitary concept with specific domain factors for inattention and impulsivity, but not for hyperactivity. The bifactor model questions the utility of constructing ADHD subscales by the use of a simple sum score when using the SNAP-IV. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2012.02549.x Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=1797

Autism spectrum disorder and complex healthcare needs: The role of healthcare experiences / M. L. PARKER in Research in Autism Spectrum Disorders, 73 (May 2019)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 73 (May 2019) . - 101535 Titre : Autism spectrum disorder and complex healthcare needs: The role of healthcare experiences Type de document : Texte imprimé et/ou numérique Auteurs : M. L. PARKER, Auteur ; Michael KILLIAN, Auteur Article en page(s) : 101535 Langues : Anglais (eng) Mots-clés : Autism complexity  Parent stress  Healthcare experiences  Confirmatory factor analysis  Statistical mediator Index. décimale : PER Périodiques Résumé : Background Parents of children with an autism diagnosis frequently described the excessive costs and inordinate amount of time associated with coordinating autism – specific treatments. These ongoing sources of stress have adverse effects on parents’ personal wellbeing. Findings suggest that the systems of care aimed at improving outcomes for children with autism may, in fact, negatively affect their parents. Further research is necessary to evaluate the degree to which system – level variables affect the relationship between autism severity and parental wellbeing. Method The sample included 1711 parents of children with a current ASD diagnosis who participated in the 2017 National Survey of Children’s Health. ASD complexity was estimated as a latent variable consisting of four observed scores; ASD severity and the frequency of co - occurring medical, developmental, and emotional/behavioral conditions using a Confirmatory Factor Analysis. Healthcare experiences (i.e., Care Coordination, Family - Centered Care, Shared Decision – Making) were analyzed as mediators using structural equation modeling to evaluate the degree to which each variable explained the relationship between ASD complexity and parent outcomes. Results Care coordination mediated the relationship between ASD complexity and parental outcomes. Family – centered care significantly predicted parent stress and health, however, it was not a mediator of the relationship between ASD complexity and parent outcomes. Shared decision – making was a mediator of parent health, but not parent stress. Conclusions The results of this study indicate healthcare experiences significantly influence parental wellbeing and are an important consideration among parents of children with complex ASD. En ligne : https://doi.org/10.1016/j.rasd.2020.101535 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=4219 [article] Autism spectrum disorder and complex healthcare needs: The role of healthcare experiences [Texte imprimé et/ou numérique] / M. L. PARKER, Auteur ; Michael KILLIAN, Auteur . - 101535. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 73 (May 2019) . - 101535 Mots-clés : Autism complexity  Parent stress  Healthcare experiences  Confirmatory factor analysis  Statistical mediator Index. décimale : PER Périodiques Résumé : Background Parents of children with an autism diagnosis frequently described the excessive costs and inordinate amount of time associated with coordinating autism – specific treatments. These ongoing sources of stress have adverse effects on parents’ personal wellbeing. Findings suggest that the systems of care aimed at improving outcomes for children with autism may, in fact, negatively affect their parents. Further research is necessary to evaluate the degree to which system – level variables affect the relationship between autism severity and parental wellbeing. Method The sample included 1711 parents of children with a current ASD diagnosis who participated in the 2017 National Survey of Children’s Health. ASD complexity was estimated as a latent variable consisting of four observed scores; ASD severity and the frequency of co - occurring medical, developmental, and emotional/behavioral conditions using a Confirmatory Factor Analysis. Healthcare experiences (i.e., Care Coordination, Family - Centered Care, Shared Decision – Making) were analyzed as mediators using structural equation modeling to evaluate the degree to which each variable explained the relationship between ASD complexity and parent outcomes. Results Care coordination mediated the relationship between ASD complexity and parental outcomes. Family – centered care significantly predicted parent stress and health, however, it was not a mediator of the relationship between ASD complexity and parent outcomes. Shared decision – making was a mediator of parent health, but not parent stress. Conclusions The results of this study indicate healthcare experiences significantly influence parental wellbeing and are an important consideration among parents of children with complex ASD. En ligne : https://doi.org/10.1016/j.rasd.2020.101535 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=4219

Chinese Validation of the Multidimensional Attitude Scale toward Persons with Disabilities (MAS): Attitudes toward Autism Spectrum Disorders / Ming-Hui LU in Journal of Autism and Developmental Disorders, 50-10 (October 2020)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 50-10 (October 2020) . - p.3777-3789 Titre : Chinese Validation of the Multidimensional Attitude Scale toward Persons with Disabilities (MAS): Attitudes toward Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Ming-Hui LU, Auteur ; Feifan PANG, Auteur ; Jie LUO, Auteur Article en page(s) : p.3777-3789 Langues : Anglais (eng) Mots-clés : Asd  China  College students  Confirmatory factor analysis  Mas Index. décimale : PER Périodiques Résumé : The literature on tools of attitudes towards ASD was limited. This study is the first to examine the factor structure and psychometric properties of the multidimensional attitudes scale toward persons with disabilities (MAS) in a sample of Chinese college students (N?=?1002, 32.10% males). Confirmatory factor analysis supported the G-MAS-R model's 4-factor structure: calm, negative affect, positive cognitions and behavioral avoidance. The results suggest that the Chinese version of the MAS has satisfactory internal consistency. Pearson correlation analysis showed that the MAS scores were significantly correlated with the Social Distance Scale and Autism Stigma and Knowledge Questionnaire scores. Overall, the findings indicate that the MAS is appropriate for assessing attitudes toward people with ASD in a Chinese context. En ligne : http://dx.doi.org/10.1007/s10803-020-04435-1 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=4323 [article] Chinese Validation of the Multidimensional Attitude Scale toward Persons with Disabilities (MAS): Attitudes toward Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Ming-Hui LU, Auteur ; Feifan PANG, Auteur ; Jie LUO, Auteur . - p.3777-3789. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 50-10 (October 2020) . - p.3777-3789 Mots-clés : Asd  China  College students  Confirmatory factor analysis  Mas Index. décimale : PER Périodiques Résumé : The literature on tools of attitudes towards ASD was limited. This study is the first to examine the factor structure and psychometric properties of the multidimensional attitudes scale toward persons with disabilities (MAS) in a sample of Chinese college students (N?=?1002, 32.10% males). Confirmatory factor analysis supported the G-MAS-R model's 4-factor structure: calm, negative affect, positive cognitions and behavioral avoidance. The results suggest that the Chinese version of the MAS has satisfactory internal consistency. Pearson correlation analysis showed that the MAS scores were significantly correlated with the Social Distance Scale and Autism Stigma and Knowledge Questionnaire scores. Overall, the findings indicate that the MAS is appropriate for assessing attitudes toward people with ASD in a Chinese context. En ligne : http://dx.doi.org/10.1007/s10803-020-04435-1 Permalink : http://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=4323

Investigating the cross-cultural validity of DSM-5 autism spectrum disorder: Evidence from Finnish and UK samples / William MANDY in Autism, 18-1 (January 2014)  

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Investigating the Measurement Properties of the Social Responsiveness Scale in Preschool Children with Autism Spectrum Disorders / Eric DUKU in Journal of Autism and Developmental Disorders, 43-4 (April 2013)  

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Measurement equivalence of the autism symptom phenotype in children and youth / Eric DUKU in Journal of Child Psychology and Psychiatry, 54-12 (December 2013)  

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Structural validation of the abridged Autism Spectrum Quotient–Short Form in a clinical sample of people with autism spectrum disorders / Renate KUENSSBERG in Autism, 18-2 (February 2014)  

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Syndrome Dimensions of the Child Behavior Checklist and the Teacher Report Form: A Critical Empirical Evaluation / Catharina A. HARTMAN in Journal of Child Psychology and Psychiatry, 40-7 (October 1999)

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