Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-27T12:06:12.136Z Has data issue: false hasContentIssue false
  • English
  • Français

Age, Education and Intellectual Quotient Influences: Structural Equation Modeling on the study of Benton Visual Retention Test (BVRT)

Published online by Cambridge University Press:  17 July 2020

Joice Dickel Segabinazi Open the ORCID record for Joice Dickel Segabinazi [Opens in a new window] ,
Josiane Pawlowski Open the ORCID record for Josiane Pawlowski [Opens in a new window] ,
Adriana Mokwa Zanini Open the ORCID record for Adriana Mokwa Zanini [Opens in a new window] ,
Gabriela Peretti Wagner Open the ORCID record for Gabriela Peretti Wagner [Opens in a new window] ,
Juliana Burges Sbicigo Open the ORCID record for Juliana Burges Sbicigo [Opens in a new window] ,
Clarissa Marceli Trentini Open the ORCID record for Clarissa Marceli Trentini [Opens in a new window] ,
Claudio Simon Hutz Open the ORCID record for Claudio Simon Hutz [Opens in a new window] ,
Jerusa Fumagalli de Salles Open the ORCID record for Jerusa Fumagalli de Salles [Opens in a new window]  and
Denise Ruschel Bandeira Open the ORCID record for Denise Ruschel Bandeira [Opens in a new window]
Joice Dickel Segabinazi*
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil) Pontifícia Universidade Católica do Rio Grande do Sul (Brazil)
Josiane Pawlowski
Affiliation:
Universidade Federal do Rio de Janeiro (Brazil) Universidad de Iberoamérica (Costa Rica)
Adriana Mokwa Zanini
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
Gabriela Peretti Wagner
Affiliation:
Universidade Federal de Ciências da Saúde de Porto Alegre (Brazil)
Juliana Burges Sbicigo
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
Clarissa Marceli Trentini
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
Claudio Simon Hutz
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
Jerusa Fumagalli de Salles
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
Denise Ruschel Bandeira
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
*
Correspondence concerning this article should be addressed to Joice Dickel Segabinazi. Pontifícia Universidade Católica do Rio Grande do Sul. Curso de Psicologia. Porto Alegre, Rio Grande do Sul (Brazil). E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

This study searched for sociodemographic influences on visual memory and visuoconstructive ability in healthy and clinical samples evaluated with Benton Visual Retention Test (BVRT) in two studies. In Study 1, we searched for changes related to age in children, adolescents, adults and elderly on the performance of the BVRT. In Study 2, we investigated the relations among age, years of education and intellectual quotient (IQ) on the performance of the BVRT using Structural Equation Modeling (SEM). Participants were 624 individuals aged between six and 89 years old (M = 25.40; SD = 22.34) from the normatization and evidence validity studies at Brazil. We used a sociodemographic questionnaire, BVRT and IQ measure was estimated. Study 1 has shown a performance similar to the developmental graphics with a U-inverted pattern in relation to age: An increase of the visual memory ability in the children and adolescent groups as age increases, a tendency of a decrease in the performance in the adult group that intensifies in the elderly group. Study 2 found that the model for the BVRT performance tested by SEM denoted satisfactory goodness-of-fit indexes, χ2/gl = 2.67, p < .001; CFI = .92; TLI = .93; RMSEA = .004, 90% CI = [.03, .05];WLSMV = 1.79, and corroborated the theoretical assumption. The SEM model confirmed in this study highlight the strong role of years of education in the prediction of BVRT scores.

Keywords

Ageeducationstructural equation modelingvisual memoryvisuo-constructive ability
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 23 , 2020 , e27
Copyright
© Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Conflicts of Interest. None

This work was funded by Programa de Excelência Acadêmica (PROEX) from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).

References

Angelini, A. L., Alves, I. C. B., Custódio, E. M., Duarte, W. F., & Duarte, J. L. M. (1999). Matrizes Progressivas Coloridas de Raven: Escala especial. Manual [Raven’s Coloured Progressive Matrices: Special scale. Manual]. CETEPP.Google Scholar
Ardila, A. (2018). Historical development of human cognition: A cultural-historical neuropsychological perspective (3rd Ed.). Springer.CrossRefGoogle Scholar
Benton Sivan, A. (1992). Benton Visual Retention Test. Manual (5th Ed.). The Psychological Corporation.Google Scholar
Campos, F. (2003). Teste das Matrizes Progressivas. Escala geral, Séries A, B, C, D e E [Test of Progressive Matrices. General scale, Series A, B, C, D e E]. CEPA.Google Scholar
Chuderski, A. (2015). The broad factor of working memory is virtually isomorphic to fluid intelligence tested under time pressure. Personality and Individual Differences, 85, 98–104. http://doi.org/10.1016/j.paid.2015.04.046CrossRefGoogle Scholar
Crawford, J. R. (2012). Psychometric foundations of neuropsychological assessment. In Goldstein, L. H. & MacNeil, J. E. (Eds.), Clinical neuropsychology: A practical guide to assessment and management for clinicians (pp. 129–158). Wiley.Google Scholar
Dias, B. F., Rezende, L. O., Malloy-Diniz, L. F., & de Paula, J. J. (2018). Relationship between visuospatial episodic memory, processing speed and executive function: Are they stable over a lifespan? Arquivos de Neuro-Psiquiatria, 76(2), 89–92. http://doi.org/10.1590/0004-282x20170186CrossRefGoogle Scholar
Duarte Junior, S. (2012). Desempenho no Teste de Retenção Visual de Benton entre crianças com e semdiagnóstico de Transtorno de Déficit de Atenção/Hiperatividade [Performance in the Visual Retention Test of Benton among children with and without diagnosis of Attention Deficit / Hyperactivity Disorder]). (Unpublished manuscript). Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.Google Scholar
Frankenmolen, N. L., Overdorp, E. J., Fasotti, L., Claassen, J. A. H. R., Kessels, R. P. C., & Oosterman, J. M. (2017). Memory strategy use in older adults with subjective memory complaints. Aging Clinical and Experimental Research, 29, 1061–1065. http://doi.org/10.1007/s40520-016-0635-1CrossRefGoogle ScholarPubMed
Gray, S., Green, S., Alt, M., Hogan, T., Kuo, T., Brinkley, S., & Cowan, N. (2017). The structure of working memory in young children and its relation to intelligence. Journal of Memory and Language, 92, 183–201. http://doi.org/10.1016/j.jml.2016.06.004CrossRefGoogle ScholarPubMed
Guarnieri, C. (2014). Teste de Retenção Visual de Benton: Validade relacionada a critério e padrões de convergência em crianças com Transtorno de Ansiedade [Benton Visual Retention Test: Validity related to criteria and convergence patterns in children with anxiety disorders]. (Unpublished manuscript). Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.Google Scholar
Hale, S., Rose, N. S., Myerson, J., Strube, M. J., Sommers, M., Tye-Murray, N., & Speha, B. (2011). The structure of working memory abilities across the adult life span. Psychology and Aging, 26(1), 92–110. http://doi.org/10.1037/a0021483CrossRefGoogle ScholarPubMed
Hu, L.-t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118CrossRefGoogle Scholar
Jastrzębski, J., Ciechanowska, I., & Chuderski, A. (2018). The strong link between fluid intelligence and working memory cannot be explained away by strategy use. Intelligence, 66, 44–53. http://doi.org/10.1016/j.intell.2017.11.002CrossRefGoogle Scholar
Leite, K. S. B., Miotto, E. C., Nitrini, R., &Yassuda, M. S. (2017). Boston Naming Test (BNT) original, Brazilian adapted version and short forms: Normative data for illiterate and low-educated older adults. International Psychogeriatrics, 29(5), 825–833. http://doi.org/10.1017/S1041610216001952CrossRefGoogle ScholarPubMed
Lima, M. (2014). Ainfluência da escolaridade no desempenho no Teste de Retenção Visual de Benton em adultos [The influence of schooling on performance in the Benton Visual Retention Test in adult] (Unpublished manuscript). Instituto de Psicologia, Universidade Federal do Rio Grande do Sul.Google Scholar
Messinis, L., Lyros, E., Georgiou, V., & Papathanasopoulos, P. (2009). Benton Visual Retention Test Performance in normal adults and acute stroke patients: Demographic considerations, discriminant validity, and test–retest reliability. The Clinical Neuropsychologist, 23(6), 962–977. http://doi.org/10.1080/13854040902740691CrossRefGoogle ScholarPubMed
Murre, J. M. J., Janssen, S. M. J., Rouw, R., & Meeter, M. (2013). The rise and fall of immediate and delayed memory for verbal and visuospatial information from late childhood to late adulthood. Acta Psychologica, 142(1), 96–107. http://doi.org/10.1016/j.actpsy.2012.10.005CrossRefGoogle ScholarPubMed
Park, D. C., & Festini, S. B. (2017). Theories of memory and aging: A look at the past and a glimpse of the future. The Journals of Gerontology: Series B, 72(1), 82–90. http://doi.org/10.1093/geronb/gbw066CrossRefGoogle Scholar
R Core Team (2017) R: A language and environment for statistical computing. https://www.R-project.org/Google Scholar
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. http://doi.org/10.18637/jss.v048.i02.CrossRefGoogle Scholar
Salles, J. F., Bandeira, D. R., Trentini, C. M., Segabinazi, J. D., & Hutz, C. S. (2016). Manual do Teste de Retenção Visual de Benton: Manual professional [Manual of Benton Visual Retention Test: Professional manual]. Vetor.Google Scholar
Salthouse, T. A. (2009). When does age-related cognitive decline begin? Neurobiology of Aging, 30(4), 507–514. http://doi.org/10.1016/j.neurobiolaging.2008.09.023CrossRefGoogle ScholarPubMed
Sierra Sanjurjo, N. S., Saraniti, A. B., Gleichgerrcht, E., Roca, M., Manes, F., & Teresa, T. (2018). The IFS (INECO Frontal Screening) and level of education: Normative data. Applied Neuropsychology: Adult, 26, 1–9. http://doi.org/10.1080/23279095.2018.1427096Google ScholarPubMed
Segabinazi, J. D., Junior, S. D., de Salles, J. F., Bandeira, D. R., Trentini, C. M., & Hutz, C. S. (2013). Teste de Retenção Visual de Benton: Apresentação do manual brasileiro [Benton Visual Retention Test: Presentation of the Brazilian manual]. Avaliação Psicológica, 12(3), 421–428.Google Scholar
Segabinazi, J. D., Yates, D. B., Salles, J. F., Trentini, C. M., Hutz, C. S., & Bandeira, D. R. (2014). Aplicação do Modelo de Rasch na avaliação das propriedades psicométricas do Teste de Retenção Visual de Benton [Application of Rasch Model in the evaluation of the Psychometric properties of the Benton Visual Retention Test]. Instituto de Psicologia, Universidade Federal do Rio Grande do Sul.Google Scholar
Sliwinski, M., & Buschke, H. (1999). Cross-sectional and longitudinal relationships among age, cognition, and processing speed. Psychology and Aging, 14(1), 18–33. http://doi.org/10.1037/0882-7974.14.1.18CrossRefGoogle ScholarPubMed
Souza, T. L., Segabinazi, J. D., & Bandeira, D. R. (2012, October). Explorando modelos explicativos do desempenho de crianças e adolescentes no Teste de Retenção Visual de Benton (BVRT) [Exploring explanatory models of child and adolescent performance in the Benton Visual Retention Test (BVRT)]. Poster presented at XXIV Salão de Iniciação Científica da UFRGS, Porto Alegre, Brasil. https://lume.ufrgs.br/handle/10183/65324Google Scholar
Swanson, H. L. (2017). Verbal and visual-spatial working memory: What develops over a life span? Developmental Psychology, 53(5), 971–995. http://doi.org/10.1037/dev0000291CrossRefGoogle Scholar
The Psychological Corporation (1999). Wechsler Abbreviated Scale of Intelligence manual. APA.Google Scholar
Trentini, C. M., Yates, D. B., & Heck, V. S. (2014). Escala de Inteligência Wechsler Abreviada (WASI): Manual professional [Abbreviated Wechsler Intelligence Scale (WASI): Manual professional]. Pearson.Google Scholar
Venezia, R. G., Gorlyn, M., Burke, A. K., Oquendo, M. A., Mann, J. J., & Keilp, J. G. (2018). The impact of cognitive reserve on neurocognitive performance in major depressive disorder. Psychiatry Research, 270, 211–218. https://doi.org/10.1016/j.psychres.2018.09.031CrossRefGoogle ScholarPubMed
Zanini, A. M., Wagner, G. P., Zortea, M., Segabinazi, J. D., Salles, J. F., Bandeira, D. R., &Trentini, C. M. (2014). Evidence of criterion validity for the Benton Visual Retention Test: Comparison between older adults with and without a possible diagnosis of Alzheimer’s disease. Psychology and Neuroscience, 7(2), 131–138. http://doi.org/10.3922/j.psns.2014.006CrossRefGoogle Scholar
Zortea, M., de Jou, G. I., & de Salles, J. F. (2019). Memory monitoring and memory control in chronic stroke patients Dissociated processes. Dementia & neuropsychologia, 13(1), 44–52. https://doi.org/10.1590/1980-57642018dn13-010005CrossRefGoogle ScholarPubMed