Face-to-face Assessment of COGTEL in Adolescents: Test-Retest Reliability and Association with School Grades

Aplicação Presencial do COGTEL em Adolescentes: a Fiabilidade Teste-Reteste e a Associação com as Notas Escolares

Bruna Raquel Gouveia , Élvio Rúbio Gouveia , Matthias Kliegel , Helder Lopes , Ana Rodrigues , Adilson Marques , Ana Luísa Correia , Ricardo Alves , Andreas Ihle
Revista Latinoamericana de Psicología, (2020), 52, pp. 169-175.
Received 21 February 2020
Accepted 19 July 2020

doi: https://doi.org/10.14349/rlp.2020.v52.17

Resumen

O Instrumento de Rastreio Cognitivo por Telefone (COGTEL) tem demostrado ser um instrumento fiável, válido e breve para avaliar o funcionamento cognitivo em adultos, quer por telefone, quer de forma presencial. Até à data, não foram estudadas as suas características psicométricas para uso em adolescentes. O presente estudo teve por objetivo avaliar as propriedades psicométricas do COGTEL em adolescentes no contexto escolar, através da aplicação presencial, e analisar a associação dos scores com as notas escolares. O desempenho cognitivo foi avaliado em 170 adolescentes, usando o COGTEL em entrevistas presenciais, com um reteste após 6 meses para avaliar a fiabilidade teste-reteste. A validade preditiva foi avaliada com base nas notas escolares. A fiabilidade teste-reteste para o COGTEL foi boa (ICC = 0.77; p < .001). As correlações parciais, controlando pelo efeito da idade, entre o score total do COGTEL e as notas escolares foram moderadas e positivas (r = .40; p < .001). As notas escolares, individualmente, explicaram 42% e 36% da variância total no score total do COGTEL, em alunos do ensino básico e secundário, respetivamente. O presente estudo sugere que o COGTEL é um instrumento fiável e válido para avaliar o funcionamento cognitivo em adolescentes, com a vantagem de ser aplicável em múltiplos contextos. Palavras-chave:
Jovens, contexto escolar, função cognitiva

Abstract

The Cognitive Telephone Screening Instrument (COGTEL) has shown to be a brief, reliable, and valid instrument to assess cognitive functioning in adults in face-to-face procedures as well as over the phone. So far, no psychometric evaluation exists on its use in adolescents. The present study set out to evaluate the psychometric properties of the face-to-face application of the COGTEL in adolescents in the school context and to analyse the association with school grades. We assessed cognitive performance using COGTEL in face-to-face assessments of 170 adolescents, with retests after 6 months for test-retest reliability. Predictive validity was assessed using school grades. Test-retest reliability for the COGTEL was good (ICC = .77; p < .001). The partial correlation controlling for age between COGTEL and school grades was medium and positive (r = .40; p < .001). School grades alone explained 42% and 36% of the variance in the COGTEL total score in elementary and secondary students, respectively. The present study suggests that COGTEL is a reliable and valid instrument to assess cognitive functioning in adolescents, with the advantage of feasibility in multiple contexts. Keywords:
Childhood, school context, cognitive function

Artículo Completo
Bibliografía

Ahmed, S. F., Tang, S., Waters, N. E., & Davis-Kean, P. (2019). Executive function and academic achievement: Longitudinal relations from early childhood to adolescence. Journal of Educational Psychology, 111(3), 446–458.

Bhat, M.A. (2016). The predictive power of reasoning ability on academic achievement. International Journal of Learning, Teaching and Educational Research, 15(1), 79-88.

Bigozzi, L., Tarchi, C., Vagnoli, L., Valente, E., & Pinto, G. (2017). Reading fluency as a predictor of school outcomes across grades 4–9. Frontiers in Psychology, 8, 200. https://doi.org/10.3389/fpsyg.2017.00200

Brown, C.T. (2018). Correlation between working memory, intelligence, and cognitive functions. Journal of Alternative Medicine Research, 10(2), 139-154.

Caemmerer, J.M., Maddocks, D.L.S., Keith, T.Z., & Reynolds, M.R. (2018). Effects of cognitive abilities on child and youth academic achievement: Evidence from the WISC-V and WIAT-III. Intelligence, 68, 6-20.

Campbell, J.M., Brown, R.T., Cavanagh, S.E., Vess, S.F., & Segall, M.J. (2008). Evidence-based assessment of cognitive functioning in pediatric psychology. Journal of Pediatric Psychology, 33(9), 999-1014. https://doi.org/10.1093/jpepsy/jsm138

Castillo-Parra, G., Gómez, E., & Ostrosky-Solís, F. (2009). Relación entre las funciones cognitivas y el nivel de rendimiento académico en niños. Revista Neuropsicología, Neuropsiquiatría y Neurociencias, 9(1), 41-54.

Cejudo, A. B., McDaniel, M. A., & Bajo, M. T. (2019). Event versus activity-based cues and motivation in school-related prospective memory tasks. PloS One14(4), e0215845. https://doi.org/10.1371/journal.pone.0215845

Cortés Pascual, A., Moyano Muñoz, N., & Quílez Robres, A. (2019). The relationship between executive functions and academic performance in primary education: Review and meta-analysis. Frontiers in Psychology10, 1582. https://doi.org/10.3389/fpsyg.2019.01582

Gómez-Veiga, I., Chaves, J.V., Duque, G., & García Madruga, J.A. (2018). A new look to a classic issue: Reasoning and academic achievement at secondary school. Frontiers in Psychology, 9, 400. https://doi.org/10.3389/fpsyg.2018.00400

Harriss, D.J., & Atkinson, G. (2011). Update — Ethical standards in sport and exercise science research. International Journal of Sports Medicine, 32(11), 19–21. https://doi.org/10.1055/s-0031-1287829

Ihle, A., Gouveia, É.R., Gouveia, B.R., & Kliegel, M. (2017). The Cognitive Telephone Screening Instrument (COGTEL): A brief, reliable, and valid tool for capturing interindividual differences in cognitive functioning in epidemiological and aging studies. Dementia and Geriatric Cognitive Disorders Extra, 7(3), 339-45. https://doi.org/10.1159/000479680

Kliegel, M., Martin, M., & Jäger, T. (2007). Development and validation of the Cognitive Telephone Screening Instrument (COGTEL) for the assessment of cognitive function across adulthood. The Journal of Psychology, 32,147-170.

Lo, A.H.Y, Humphreys, M., Byrne, G.J., & Pachana, N.A. (2012). Test-retest reliability and practice effects of the Wechsler Memory Scale-III. Journal of Neuropsychology, 6: 212–231.

McGrew, K., & Wendling, B. (2010). Cattell–Horn–Carroll cognitive-achievement relations: What we have learned from the past 20 years of research. Psychology in the Schools47(7), 651-675.

McGrew, K. S., & Woodcock, R. W. (2001). Technical Manual: Woodcock-Johnson III. Itasca, IL: Riverside Publishing.

Schneider, M., & Preckel, F. (2017). Variables associated with achievement in higher education: A systematic review of meta-analyses. Psychological Bulletin, 143(6), 565-600.

Schneider, W., & Niklas, F. (2017). Intelligence and verbal short-term memory/working memory: Their interrelationships from childhood to young adulthood and their impact on academic achievement. Journal of Intelligence5(2), 26. https://doi.org/10.3390/jintelligence5020026

Sheslow, D., & Adams, W. (1990). Wide range assessment of memory and learning Administration Manual. Wilmington, DE: Jastak Associates.

Tinôco, M.A., Gouveia, E.R., Ihle, A., Adilson M., Gouveia, B.R., & Kliegel, M. (2019). The Cognitive Telephone Screening Instrument (COGTEL): A reliable, and valid tool in cognitive functioning assessment in Brazilian older people. Brazilian Journal of Geriatrics and Gerontology, 22(1), e180130.

Tombaugh, T.N., & McIntyre, N.J. (1992). The Mini-Mental State Examination: A comprehensive review. Journal of the American Geriatrics Society, 40(9), 922–935.

Veas, A., Castejón, J.L., Gilar, R., & Miñano, P. (2015). Academic achievement in early adolescence: The influence of cognitive and non-cognitive variables. The Journal of General Psychology, 142(4), 273-94. https://doi.org/10.1080/00221309.2015. 1092940

Wechsler, D. (2002). Wechsler Individual Achievement Test – Second edition. Examiner’s manual. San Antonio: The Psychological Corporation.

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