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

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

Author Cogo-Moreira, Hugo Autor UNIFESP Google Scholar
Carvalho, Carolina Alves Ferreira Autor UNIFESP Google Scholar
Kida, Adriana de Souza Batista Autor UNIFESP Google Scholar
Brandao de Avila, Clara Regina Autor UNIFESP Google Scholar
Salum, Giovanni Abrahao Google Scholar
Moriyama, Tais Silveira Autor UNIFESP Google Scholar
Gadelha, Ary Autor UNIFESP Google Scholar
Rohde, Luis Augusto Google Scholar
Moura, Luciana Monteiro de Autor UNIFESP Google Scholar
Jackowski, Andrea Parolin Autor UNIFESP Google Scholar
Mari, Jair de Jesus Autor UNIFESP Google Scholar
Institution Universidade Federal de São Paulo (UNIFESP)
Univ Fed Rio Grande do Sul
Universidade de São Paulo (USP)
Abstract 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.
Keywords Academic Performance Test
Language English
Date 2013-01-01
Published in Neuropsychiatric Disease and Treatment. Albany: Dove Medical Press Ltd, v. 9, p. 1175-1185, 2013.
ISSN 1176-6328 (Sherpa/Romeo, impact factor)
Publisher Dove Medical Press Ltd
Extent 1175-1185
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000323031200001

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