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1.
Front Psychol ; 12: 589305, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33841232

RESUMO

The main aim of this study was to analyze the patterns of changes in Approximate Number Sense (ANS) precision from grade 1 (mean age: 7.84 years) to grade 9 (mean age: 15.82 years) in a sample of Russian schoolchildren. To fulfill this aim, the data from a longitudinal study of two cohorts of children were used. The first cohort was assessed at grades 1-5 (elementary school education plus the first year of secondary education), and the second cohort was assessed at grades 5-9 (secondary school education). ANS precision was assessed by accuracy and reaction time (RT) in a non-symbolic comparison test ("blue-yellow dots" test). The patterns of change were estimated via mixed-effect growth models. The results revealed that in the first cohort, the average accuracy increased from grade 1 to grade 5 following a non-linear pattern and that the rate of growth slowed after grade 3 (7-9 years old). The non-linear pattern of changes in the second cohort indicated that accuracy started to increase from grade 7 to grade 9 (13-15 years old), while there were no changes from grade 5 to grade 7. However, the RT in the non-symbolic comparison test decreased evenly from grade 1 to grade 7 (7-13 years old), and the rate of processing non-symbolic information tended to stabilize from grade 7 to grade 9. Moreover, the changes in the rate of processing non-symbolic information were not explained by the changes in general processing speed. The results also demonstrated that accuracy and RT were positively correlated across all grades. These results indicate that accuracy and the rate of non-symbolic processing reflect two different processes, namely, the maturation and development of a non-symbolic representation system.

2.
J Intell ; 10(1)2021 Dec 21.
Artigo em Inglês | MEDLINE | ID: mdl-35076556

RESUMO

Processing speed is divided into general (including perceptual speed and decision speed) and specific processing speed (including reading fluency and arithmetic fluency). Despite several study findings reporting the association between processing speed and children's mathematical achievement, it is still unclear whether general or specific processing speed differentially predicts mathematical achievement. The current study aimed to examine the role of general and specific processing speed in predicting mathematical achievements of junior high school students. Cognitive testing was performed in 212 junior school students at the beginning of the 7th grade year, along with assessment of general and specific processing speed. Relevant academic achievement scores were also recorded at the end of the 7th and 9th grade years. Hierarchical regression analyses showed that specific processing speed made a significant unique contribution in mathematical achievement by the end of the 7th grade and could significantly predict mathematical achievements in the high school entrance examinations by end of the 9th grade after controlling for age, gender, and general cognitive abilities. However, general processing speed could not predict mathematical achievements. Moreover, specific processing speed could significantly predict all academic achievements for both the 7th and 9th grade. These results demonstrated that specific processing speed, rather than general processing speed, was able to predict mathematical achievement and made a generalised contribution to all academic achievements in junior school. These findings suggest that specific processing speed could be a reflection of academic fluency and is therefore critical for long-term academic development.

3.
Assessment ; 22(4): 429-40, 2015 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-25296761

RESUMO

Psychometricians strive to eliminate random error from their psychological inventories. When random error affecting tests is diminished, tests more accurately characterize people on the psychological dimension of interest. We document an unusual property of the scoring algorithm for a measure used to assess a wide range of psychological states. The "D-score" algorithm for coding the Implicit Association Test (IAT) requires the presence of random noise in order to obtain variability. Without consequential degrees of random noise, all individuals receive extreme scores. We present results from an algebraic proof, a computer simulation, and an online survey of implicit racial attitudes to show how trial error can bias IAT assessments. We argue as a result that the D-score algorithm should not be used for formal assessment purposes, and we offer an alternative to this approach based on multiple regression. Our critique focuses primarily on the IAT designed to measure unconscious racial attitudes, but it applies to any IAT developed to provide psychological assessments within clinical, organizational, and developmental branches of psychology-and in any other field where the IAT might be used.


Assuntos
Psicometria/métodos , Algoritmos , Simulação por Computador , Humanos , Grupos Raciais
4.
Psicol. teor. pesqui ; 30(4): 449-457, out.-dez. 2014. tab
Artigo em Português | Index Psicologia - Periódicos | ID: psi-62305

RESUMO

O presente estudo investigou a natureza das tarefas de nomeação seriada rápida, considerando três hipóteses sobre o que elas representariam: (1) medidas da recuperação de códigos fonológicos da memória de longo prazo; (2) medidas da velocidade de processamento geral; e (3) medidas de processos relacionados ao reconhecimento de padrões visuais. Participaram da pesquisa 174 crianças brasileiras cursando o 5º ano do Ensino Fundamental em escolas particulares. Análises fatoriais confirmatórias indicaram que nenhuma das três hipóteses se mostrou consistente com os dados. Porém, em um modelo de regressão estrutural construído para avaliar a contribuição desses fatores para a nomeação seriada rápida, o único que contribuiu significativamente foi o fator 'velocidade de processamento geral'.(AU)


The present study aimed to investigate the nature of rapid automatized naming tasks, considering three hypotheses about what they represent: (1) measures of retrieval of phonological codes from a long-term store; (2) measures of general processing speed; and (3) measures of visual pattern recognition processes. The participants were 174 children from the 5th grade of Brazilian private schools. Confirmatory factor analyses indicated that none of the hypotheses were consistent with the data. However, in a structural regression model the factor 'general processing speed' was the only one that contributed significantly to rapid automatized naming.(AU)


Assuntos
Humanos , Masculino , Feminino , Criança , Leitura , Testes de Linguagem , Cognição
5.
Psicol. teor. pesqui ; 30(4): 449-457, out.-dez. 2014. tab
Artigo em Português | LILACS | ID: lil-732724

RESUMO

O presente estudo investigou a natureza das tarefas de nomeação seriada rápida, considerando três hipóteses sobre o que elas representariam: (1) medidas da recuperação de códigos fonológicos da memória de longo prazo; (2) medidas da velocidade de processamento geral; e (3) medidas de processos relacionados ao reconhecimento de padrões visuais. Participaram da pesquisa 174 crianças brasileiras cursando o 5º ano do Ensino Fundamental em escolas particulares. Análises fatoriais confirmatórias indicaram que nenhuma das três hipóteses se mostrou consistente com os dados. Porém, em um modelo de regressão estrutural construído para avaliar a contribuição desses fatores para a nomeação seriada rápida, o único que contribuiu significativamente foi o fator 'velocidade de processamento geral'...


The present study aimed to investigate the nature of rapid automatized naming tasks, considering three hypotheses about what they represent: (1) measures of retrieval of phonological codes from a long-term store; (2) measures of general processing speed; and (3) measures of visual pattern recognition processes. The participants were 174 children from the 5th grade of Brazilian private schools. Confirmatory factor analyses indicated that none of the hypotheses were consistent with the data. However, in a structural regression model the factor 'general processing speed' was the only one that contributed significantly to rapid automatized naming...


Assuntos
Humanos , Masculino , Feminino , Criança , Leitura , Cognição , Testes de Linguagem
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