Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis

Detalhes bibliográficos
Autor(a) principal: Salum,Giovanni A.
Data de Publicação: 2016
Outros Autores: DeSousa,Diogo Araújo, Manfro,Gisele Gus, Pan,Pedro Mario, Gadelha,Ary, Brietzke,Elisa, Miguel,Eurípedes Constantino, Mari,Jair J., Rosário,Maria Conceição do, Grassi-Oliveira,Rodrigo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Trends in Psychiatry and Psychotherapy
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2237-60892016000100023
Resumo: Objective To investigate the validity and reliability of a multi-informant approach to measuring child maltreatment (CM) comprising seven questions assessing CM administered to children and their parents in a large community sample. Methods Our sample comprised 2,512 children aged 6 to 12 years and their parents. Child maltreatment (CM) was assessed with three questions answered by the children and four answered by their parents, covering physical abuse, physical neglect, emotional abuse and sexual abuse. Confirmatory factor analysis was used to compare the fit indices of different models. Convergent and divergent validity were tested using parent-report and teacher-report scores on the Strengths and Difficulties Questionnaire. Discriminant validity was investigated using the Development and Well-Being Assessment to divide subjects into five diagnostic groups: typically developing controls (n = 1,880), fear disorders (n = 108), distress disorders (n = 76), attention deficit hyperactivity disorder (n = 143) and oppositional defiant disorder/conduct disorder (n = 56). Results A higher-order model with one higher-order factor (child maltreatment) encompassing two lower-order factors (child report and parent report) exhibited the best fit to the data and this model's reliability results were acceptable. As expected, child maltreatment was positively associated with measures of psychopathology and negatively associated with prosocial measures. All diagnostic category groups had higher levels of overall child maltreatment than typically developing children. Conclusions We found evidence for the validity and reliability of this brief measure of child maltreatment using data from a large survey combining information from parents and their children.
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spelling Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysisMaltreatmentadversitychildcohortearly life stress Objective To investigate the validity and reliability of a multi-informant approach to measuring child maltreatment (CM) comprising seven questions assessing CM administered to children and their parents in a large community sample. Methods Our sample comprised 2,512 children aged 6 to 12 years and their parents. Child maltreatment (CM) was assessed with three questions answered by the children and four answered by their parents, covering physical abuse, physical neglect, emotional abuse and sexual abuse. Confirmatory factor analysis was used to compare the fit indices of different models. Convergent and divergent validity were tested using parent-report and teacher-report scores on the Strengths and Difficulties Questionnaire. Discriminant validity was investigated using the Development and Well-Being Assessment to divide subjects into five diagnostic groups: typically developing controls (n = 1,880), fear disorders (n = 108), distress disorders (n = 76), attention deficit hyperactivity disorder (n = 143) and oppositional defiant disorder/conduct disorder (n = 56). Results A higher-order model with one higher-order factor (child maltreatment) encompassing two lower-order factors (child report and parent report) exhibited the best fit to the data and this model's reliability results were acceptable. As expected, child maltreatment was positively associated with measures of psychopathology and negatively associated with prosocial measures. All diagnostic category groups had higher levels of overall child maltreatment than typically developing children. Conclusions We found evidence for the validity and reliability of this brief measure of child maltreatment using data from a large survey combining information from parents and their children.Associação de Psiquiatria do Rio Grande do Sul2016-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2237-60892016000100023Trends in Psychiatry and Psychotherapy v.38 n.1 2016reponame:Trends in Psychiatry and Psychotherapyinstname:Sociedade de Psiquiatria do Rio Grande do Sulinstacron:APRGS10.1590/2237-6089-2015-0036info:eu-repo/semantics/openAccessSalum,Giovanni A.DeSousa,Diogo AraújoManfro,Gisele GusPan,Pedro MarioGadelha,AryBrietzke,ElisaMiguel,Eurípedes ConstantinoMari,Jair J.Rosário,Maria Conceição doGrassi-Oliveira,Rodrigoeng2016-04-08T00:00:00Zoai:scielo:S2237-60892016000100023Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=2237-6089&lng=en&nrm=isohttps://old.scielo.br/oai/scielo-oai.phprevista@aprs.org.br|| rodrigo_grassi@terra.com.br2238-00192237-6089opendoar:2016-04-08T00:00Trends in Psychiatry and Psychotherapy - Sociedade de Psiquiatria do Rio Grande do Sulfalse
dc.title.none.fl_str_mv Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
title Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
spellingShingle Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
Salum,Giovanni A.
Maltreatment
adversity
child
cohort
early life stress
title_short Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
title_full Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
title_fullStr Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
title_full_unstemmed Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
title_sort Measuring child maltreatment using multi-informant survey data: a higher-order confirmatory factor analysis
author Salum,Giovanni A.
author_facet Salum,Giovanni A.
DeSousa,Diogo Araújo
Manfro,Gisele Gus
Pan,Pedro Mario
Gadelha,Ary
Brietzke,Elisa
Miguel,Eurípedes Constantino
Mari,Jair J.
Rosário,Maria Conceição do
Grassi-Oliveira,Rodrigo
author_role author
author2 DeSousa,Diogo Araújo
Manfro,Gisele Gus
Pan,Pedro Mario
Gadelha,Ary
Brietzke,Elisa
Miguel,Eurípedes Constantino
Mari,Jair J.
Rosário,Maria Conceição do
Grassi-Oliveira,Rodrigo
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Salum,Giovanni A.
DeSousa,Diogo Araújo
Manfro,Gisele Gus
Pan,Pedro Mario
Gadelha,Ary
Brietzke,Elisa
Miguel,Eurípedes Constantino
Mari,Jair J.
Rosário,Maria Conceição do
Grassi-Oliveira,Rodrigo
dc.subject.por.fl_str_mv Maltreatment
adversity
child
cohort
early life stress
topic Maltreatment
adversity
child
cohort
early life stress
description Objective To investigate the validity and reliability of a multi-informant approach to measuring child maltreatment (CM) comprising seven questions assessing CM administered to children and their parents in a large community sample. Methods Our sample comprised 2,512 children aged 6 to 12 years and their parents. Child maltreatment (CM) was assessed with three questions answered by the children and four answered by their parents, covering physical abuse, physical neglect, emotional abuse and sexual abuse. Confirmatory factor analysis was used to compare the fit indices of different models. Convergent and divergent validity were tested using parent-report and teacher-report scores on the Strengths and Difficulties Questionnaire. Discriminant validity was investigated using the Development and Well-Being Assessment to divide subjects into five diagnostic groups: typically developing controls (n = 1,880), fear disorders (n = 108), distress disorders (n = 76), attention deficit hyperactivity disorder (n = 143) and oppositional defiant disorder/conduct disorder (n = 56). Results A higher-order model with one higher-order factor (child maltreatment) encompassing two lower-order factors (child report and parent report) exhibited the best fit to the data and this model's reliability results were acceptable. As expected, child maltreatment was positively associated with measures of psychopathology and negatively associated with prosocial measures. All diagnostic category groups had higher levels of overall child maltreatment than typically developing children. Conclusions We found evidence for the validity and reliability of this brief measure of child maltreatment using data from a large survey combining information from parents and their children.
publishDate 2016
dc.date.none.fl_str_mv 2016-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2237-60892016000100023
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2237-60892016000100023
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2237-6089-2015-0036
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação de Psiquiatria do Rio Grande do Sul
publisher.none.fl_str_mv Associação de Psiquiatria do Rio Grande do Sul
dc.source.none.fl_str_mv Trends in Psychiatry and Psychotherapy v.38 n.1 2016
reponame:Trends in Psychiatry and Psychotherapy
instname:Sociedade de Psiquiatria do Rio Grande do Sul
instacron:APRGS
instname_str Sociedade de Psiquiatria do Rio Grande do Sul
instacron_str APRGS
institution APRGS
reponame_str Trends in Psychiatry and Psychotherapy
collection Trends in Psychiatry and Psychotherapy
repository.name.fl_str_mv Trends in Psychiatry and Psychotherapy - Sociedade de Psiquiatria do Rio Grande do Sul
repository.mail.fl_str_mv revista@aprs.org.br|| rodrigo_grassi@terra.com.br
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