Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validity

Detalhes bibliográficos
Autor(a) principal: Cogo-Moreira, Hugo [UNIFESP]
Data de Publicação: 2013
Outros Autores: Carvalho, Carolina Alves Ferreira [UNIFESP], Kida, Adriana de Souza Batista [UNIFESP], Brandao de Avila, Clara Regina [UNIFESP], Salum, Giovanni Abrahao, Moriyama, Tais Silveira [UNIFESP], Gadelha, Ary [UNIFESP], Rohde, Luis Augusto, Moura, Luciana Monteiro de [UNIFESP], Jackowski, Andrea Parolin [UNIFESP], Mari, Jair de Jesus [UNIFESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
Texto Completo: http://dx.doi.org/10.2147/NDT.S45785
http://repositorio.unifesp.br/handle/11600/35732
Resumo: Aim: To explore and validate the best returned latent class solution for reading and writing subtests from the Academic Performance Test (TDE).Sample: A total of 1,945 children (6-14 years of age), who answered the TDE, the Development and Well-Being Assessment (DAWBA), and had an estimated intelligence quotient (IQ) higher than 70, came from public schools in São Paulo (35 schools) and Porto Alegre (22 schools) that participated in the 'High Risk Cohort Study for Childhood Psychiatric Disorders' project. They were on average 9.52 years old (standard deviation = 1.856), from the 1st to 9th grades, and 53.3% male. the mean estimated IQ was 102.70 (standard deviation = 16.44).Methods: Via Item Response Theory (IRT), the highest discriminating items ('a'>1.7) were selected from the TDE subtests of reading and writing. A latent class analysis was run based on these subtests. the statistically and empirically best latent class solutions were validated through concurrent (IQ and combined attention deficit hyperactivity disorder [ADHD] diagnoses) and discriminant (major depression diagnoses) measures.Results: A three-class solution was found to be the best model solution, revealing classes of children with good, not-so-good, or poor performance on TDE reading and writing tasks. the three-class solution has been shown to be correlated with estimated IQ and to ADHD diagnosis. No association was observed between the latent class and major depression.Conclusion: the three-class solution showed both concurrent and discriminant validity. This work provides initial evidence of validity for an empirically derived categorical classification of reading, decoding, and writing performance using the TDE. A valid classification encourages further research investing correlates of reading and writing performance using the TDE.
id UFSP_1b0e623bdb2686163c41eddf888c4f09
oai_identifier_str oai:repositorio.unifesp.br/:11600/35732
network_acronym_str UFSP
network_name_str Repositório Institucional da UNIFESP
repository_id_str 3465
spelling Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validityAcademic Performance TestTDEdecodingwritingvalidityAim: To explore and validate the best returned latent class solution for reading and writing subtests from the Academic Performance Test (TDE).Sample: A total of 1,945 children (6-14 years of age), who answered the TDE, the Development and Well-Being Assessment (DAWBA), and had an estimated intelligence quotient (IQ) higher than 70, came from public schools in São Paulo (35 schools) and Porto Alegre (22 schools) that participated in the 'High Risk Cohort Study for Childhood Psychiatric Disorders' project. They were on average 9.52 years old (standard deviation = 1.856), from the 1st to 9th grades, and 53.3% male. the mean estimated IQ was 102.70 (standard deviation = 16.44).Methods: Via Item Response Theory (IRT), the highest discriminating items ('a'>1.7) were selected from the TDE subtests of reading and writing. A latent class analysis was run based on these subtests. the statistically and empirically best latent class solutions were validated through concurrent (IQ and combined attention deficit hyperactivity disorder [ADHD] diagnoses) and discriminant (major depression diagnoses) measures.Results: A three-class solution was found to be the best model solution, revealing classes of children with good, not-so-good, or poor performance on TDE reading and writing tasks. the three-class solution has been shown to be correlated with estimated IQ and to ADHD diagnosis. No association was observed between the latent class and major depression.Conclusion: the three-class solution showed both concurrent and discriminant validity. This work provides initial evidence of validity for an empirically derived categorical classification of reading, decoding, and writing performance using the TDE. A valid classification encourages further research investing correlates of reading and writing performance using the TDE.Universidade Federal de São Paulo, Dept Psychiat, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Hearing & Speech Pathol, São Paulo, BrazilUniv Fed Rio Grande do Sul, Dept Psychiat, BR-90046900 Porto Alegre, RS, BrazilUniv São Paulo, Dept Psychiat, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Psychiat, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Hearing & Speech Pathol, São Paulo, BrazilWeb of ScienceDove Medical Press LtdUniversidade Federal de São Paulo (UNIFESP)Univ Fed Rio Grande do SulUniversidade de São Paulo (USP)Cogo-Moreira, Hugo [UNIFESP]Carvalho, Carolina Alves Ferreira [UNIFESP]Kida, Adriana de Souza Batista [UNIFESP]Brandao de Avila, Clara Regina [UNIFESP]Salum, Giovanni AbrahaoMoriyama, Tais Silveira [UNIFESP]Gadelha, Ary [UNIFESP]Rohde, Luis AugustoMoura, Luciana Monteiro de [UNIFESP]Jackowski, Andrea Parolin [UNIFESP]Mari, Jair de Jesus [UNIFESP]2016-01-24T14:30:56Z2016-01-24T14:30:56Z2013-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion1175-1185http://dx.doi.org/10.2147/NDT.S45785Neuropsychiatric Disease and Treatment. Albany: Dove Medical Press Ltd, v. 9, p. 1175-1185, 2013.10.2147/NDT.S457851176-6328http://repositorio.unifesp.br/handle/11600/35732WOS:000323031200001engNeuropsychiatric Disease and Treatmentinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2016-01-24T12:30:56Zoai:repositorio.unifesp.br/:11600/35732Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652016-01-24T12:30:56Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.none.fl_str_mv Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validity
title Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validity
spellingShingle Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validity
Cogo-Moreira, Hugo [UNIFESP]
Academic Performance Test
TDE
decoding
writing
validity
title_short Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validity
title_full Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validity
title_fullStr Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validity
title_full_unstemmed Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validity
title_sort Latent class analysis of reading, decoding, and writing performance using the Academic Performance Test: concurrent and discriminating validity
author Cogo-Moreira, Hugo [UNIFESP]
author_facet Cogo-Moreira, Hugo [UNIFESP]
Carvalho, Carolina Alves Ferreira [UNIFESP]
Kida, Adriana de Souza Batista [UNIFESP]
Brandao de Avila, Clara Regina [UNIFESP]
Salum, Giovanni Abrahao
Moriyama, Tais Silveira [UNIFESP]
Gadelha, Ary [UNIFESP]
Rohde, Luis Augusto
Moura, Luciana Monteiro de [UNIFESP]
Jackowski, Andrea Parolin [UNIFESP]
Mari, Jair de Jesus [UNIFESP]
author_role author
author2 Carvalho, Carolina Alves Ferreira [UNIFESP]
Kida, Adriana de Souza Batista [UNIFESP]
Brandao de Avila, Clara Regina [UNIFESP]
Salum, Giovanni Abrahao
Moriyama, Tais Silveira [UNIFESP]
Gadelha, Ary [UNIFESP]
Rohde, Luis Augusto
Moura, Luciana Monteiro de [UNIFESP]
Jackowski, Andrea Parolin [UNIFESP]
Mari, Jair de Jesus [UNIFESP]
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de São Paulo (UNIFESP)
Univ Fed Rio Grande do Sul
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Cogo-Moreira, Hugo [UNIFESP]
Carvalho, Carolina Alves Ferreira [UNIFESP]
Kida, Adriana de Souza Batista [UNIFESP]
Brandao de Avila, Clara Regina [UNIFESP]
Salum, Giovanni Abrahao
Moriyama, Tais Silveira [UNIFESP]
Gadelha, Ary [UNIFESP]
Rohde, Luis Augusto
Moura, Luciana Monteiro de [UNIFESP]
Jackowski, Andrea Parolin [UNIFESP]
Mari, Jair de Jesus [UNIFESP]
dc.subject.por.fl_str_mv Academic Performance Test
TDE
decoding
writing
validity
topic Academic Performance Test
TDE
decoding
writing
validity
description Aim: To explore and validate the best returned latent class solution for reading and writing subtests from the Academic Performance Test (TDE).Sample: A total of 1,945 children (6-14 years of age), who answered the TDE, the Development and Well-Being Assessment (DAWBA), and had an estimated intelligence quotient (IQ) higher than 70, came from public schools in São Paulo (35 schools) and Porto Alegre (22 schools) that participated in the 'High Risk Cohort Study for Childhood Psychiatric Disorders' project. They were on average 9.52 years old (standard deviation = 1.856), from the 1st to 9th grades, and 53.3% male. the mean estimated IQ was 102.70 (standard deviation = 16.44).Methods: Via Item Response Theory (IRT), the highest discriminating items ('a'>1.7) were selected from the TDE subtests of reading and writing. A latent class analysis was run based on these subtests. the statistically and empirically best latent class solutions were validated through concurrent (IQ and combined attention deficit hyperactivity disorder [ADHD] diagnoses) and discriminant (major depression diagnoses) measures.Results: A three-class solution was found to be the best model solution, revealing classes of children with good, not-so-good, or poor performance on TDE reading and writing tasks. the three-class solution has been shown to be correlated with estimated IQ and to ADHD diagnosis. No association was observed between the latent class and major depression.Conclusion: the three-class solution showed both concurrent and discriminant validity. This work provides initial evidence of validity for an empirically derived categorical classification of reading, decoding, and writing performance using the TDE. A valid classification encourages further research investing correlates of reading and writing performance using the TDE.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
2016-01-24T14:30:56Z
2016-01-24T14:30:56Z
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://dx.doi.org/10.2147/NDT.S45785
Neuropsychiatric Disease and Treatment. Albany: Dove Medical Press Ltd, v. 9, p. 1175-1185, 2013.
10.2147/NDT.S45785
1176-6328
http://repositorio.unifesp.br/handle/11600/35732
WOS:000323031200001
url http://dx.doi.org/10.2147/NDT.S45785
http://repositorio.unifesp.br/handle/11600/35732
identifier_str_mv Neuropsychiatric Disease and Treatment. Albany: Dove Medical Press Ltd, v. 9, p. 1175-1185, 2013.
10.2147/NDT.S45785
1176-6328
WOS:000323031200001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Neuropsychiatric Disease and Treatment
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1175-1185
dc.publisher.none.fl_str_mv Dove Medical Press Ltd
publisher.none.fl_str_mv Dove Medical Press Ltd
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv biblioteca.csp@unifesp.br
_version_ 1814268384115687424