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Doctoral Thesis
DOI
https://doi.org/10.11606/T.59.2020.tde-16022020-134518
Document
Author
Full name
Adauto Garcia de Jesus Junior
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
Ribeirão Preto, 2019
Supervisor
Committee
Silva, Jose Aparecido Da (President)
Santos, Manoel Antonio dos
Santos, Wagner Ferreira dos
Valentini, Felipe
Title in Portuguese
Correlação entre inteligência (Gf) e desempenho acadêmico em estudantes do 9º ano do ensino fundamental de uma instituição particular de ensino do interior do Estado de São Paulo
Keywords in Portuguese
Desempenho acadêmico
Inteligência
Inteligência fluida
Modelo de curva de crescimento
Abstract in Portuguese
A presente pesquisa correlacionou dados provenientes da aplicação do teste de Inteligência BPR-5 com uma avaliação escolar de matemática e língua portuguesa e um questionário sobre questões familiares e acadêmicas, de uma amostra de 679 alunos do nono ano do ensino fundamental de quatro escolas de uma rede particular de ensino. Os resultados dessas avaliações se mostraram fortemente correlacionados e estatisticamente significativos com escores dos testes de QI (r=,58, p<0,01), evidenciando elevadas cargas em Inteligência Fluida (Gf). Foram encontradas algumas correlações entre a inteligência e aspectos familiares e escolares, levantados a partir do questionário. Uma análise longitudinal (5° ao 9° ano) foi aplicada através do Modelo de Curva de Crescimento Latente que investigou a média da variância inicial (intercepto) e a média de crescimento (slope) no desempenho acadêmico (DA) dos sujeitos, em dois modelos (com e sem a variável independente BPR), com o objetivo de investigar a capacidade preditiva de Gf no DA. Quando inserida a variável BPR, seu impacto no intercepto foi estimado em 20,288 e no slope, 6,381. Essas estimativas indicam o acréscimo no desempenho inicial e no crescimento no DA em razão de cada ponto a mais no escore em BPR. A correlação entre o intercepto e o slope foi negativa e estatisticamente significativa (r=-224,156, p<0,01), sinalizando que os sujeitos que apresentaram desempenho inicial mais baixo no DA, obtiveram um crescimento maior no período avaliado. Assim, a hipótese da capacidade preditiva de Gf sobre o DA foi confirmada, corroborando os resultados da literatura.
Title in English
Correlation between Intelligence (Gf) and Academic Performance in 9th grade students of a private school in the interior of São Paulo state, Brazil
Keywords in English
Academic achievement
Fluid intelligence
Growth curve model
Intelligence
Abstract in English
The present article studies the correlation between data of the BPR-5 Intelligence test with a school assessment of mathematics and portuguese language and a questionnaire on family and academic performance from a sample of 679 ninth grade students from four elementary private schools.The results indicate a strong correlation and statistically significant with IQ test scores (r =, 58, p <0.01), showing high loads on Fluid Intelligence (Gf). Some correlations between intelligence and family and school aspects were also found. A longitudinal analysis (5th to 9th grade) was applied using the Latent Growth Curve Model, which investigated the average initial variance (intercept) and the average growth (slope) in the subjects' academic performance (AP), in two models (with and without the independent variable BPR), aiming to investigate the predictive capacity of Gf in AP. When the variable BPR was inserted, its impact on the intercept was estimated at 20,288 and on the slope, 6,381. These outcomes indicate the increase on initial performance and growth in AP due to each additional point in the BPR score. The correlation between the intercept and the slope was negative and statistically significant (r=-224,156, p <0.01), indicating that the subjects who presented lower initial AP had a higher growth in the evaluated period. Thus, the hypothesis of Gf's predictive ability on AP was confirmed, which corroborates with the literature results.
 
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TeseAdauto.pdf (3.22 Mbytes)
Publishing Date
2020-05-13
 
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