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A WiSC investigation of a linear, second order differential equation arising from short circuit torquesMaher, James Edward. January 1959 (has links)
Thesis (M.S.)--University of Wisconsin--Madison, 1959. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaf [26]).
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PAT a pseudo-assembler-translator for the WISC /McClure, Charles William. January 1961 (has links)
Thesis (M.S.)--University of Wisconsin--Madison, 1961. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.
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Factor Structure of the Wechsler Intelligence Scale for Children-Fourth Edition Among Students with Attention Deficit Hyperactivity DisorderJanuary 2011 (has links)
abstract: The Wechsler Intelligence Scale for Children – ; Fourth Edition (WISC – IV) is one of the most popular intelligence tests used for special education eligibility purposes in the United States. Despite the large prevalence of children and adolescents with Attention Deficit Hyperactivity Disorder (ADHD), the factor structure of the WISC – IV among this population has not been explored. Thus, the factor structure of WISC – IV scores among students with ADHD was investigated via replicatory factor analysis followed by a comparison with the factorial structure of the normative sample using the coefficient of congruence. The four factor model proposed by Wechsler was consistent with the factor structure found in the sample of students with ADHD for all subtests except Picture Concepts and Matrix Reasoning. The Verbal Comprehension and Processing Speed factors appeared to measure the same construct in the study sample as in the normative sample, while the Perceptual Reasoning and Working Memory factors were only fairly similar to the normative sample. It is recommended that clinicians interpret Perceptual Reasoning and Working Memory index scores of students with ADHD cautiously. Limitations of the study, future directions for research, and implications for practitioners are discussed. / Dissertation/Thesis / M.A. Educational Psychology 2011
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Recategorized WISC-R scores of incarcerated male juvenile delinquentsBrooke, Thomas Lee January 1980 (has links)
No description available.
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Características do desempenho no WISC-III em crianças com dislexia do desenvolvimento / Characteristics of the WISC-III performance in children with developmental dyslexiaCarvalho, Mariana Kisse Sato 22 March 2013 (has links)
Esta pesquisa teve como objetivo analisar e comparar o desempenho no WISC-III de crianças com dislexia do desenvolvimento com o de dois grupos controle, a fim de verificar a existência de características específicas no desempenho desta escala no grupo com dislexia. Ao todo foram 57 sujeitos, divididos entre o grupo dos disléxicos (n=20), o grupo controle 1 (GC1) formado por crianças sem queixa de dificuldade escolar da mesma idade cronológica e série dos disléxicos (n=21), e grupo controle 2 (GC2) formado por alunos do segundo ano do Ensino Fundamental, que ainda estavam no processo inicial de aprendizagem da leitura e da escrita (n=16). Os dados do grupo dos disléxicos foram coletados a partir dos registros da Clínica Psicológica da Universidade Estadual de Londrina, em que constava o diagnóstico de dislexia no período de 2006 a 2011. Para o delineamento dos grupos controle, levou-se em consideração também a escola em que os disléxicos estavam matriculados na época da avaliação (estadual, municipal e particular). Para análise estatística, foi utilizado o programa SPSS para Windows, sendo que a significância adotada foi menor que 0,05. Quanto aos resultados, o grupo dos disléxicos, quando comparado aos dois grupos controle, teve pior desempenho nas Escalas de Resistência à Distração e Velocidade de Processamento. Pesquisas mostram que os disléxicos geralmente apresentam baixo desempenho em alguns subtestes, descrito como perfil ACID. Nesta pesquisa, o grupo dos disléxicos teve desempenho menor que os dois grupos controle nos subtestes Dígitos, Código e Procurar Símbolos, mas este dado não foi encontrado no subteste Aritmética. O desempenho dos disléxicos também foi menor nos subtestes Informação e Semelhanças, mas apenas em comparação ao GC1, o que sugere que esse resultado seja devido à dificuldade escolar do disléxico vivenciada através dos anos. Comparando-se as escolas, os alunos da escola particular tiveram melhor desempenho no subteste Códigos e pior desempenho no subteste Armar Objetos apenas em relação aos alunos da escola estadual. Como o grupo da escola particular foi muito pequeno, acredita-se que isso seja uma variação referente a este grupo específico de alunos. Quanto à comparação entre os disléxicos do sexo feminino e masculino, e com e sem TDAH, não foram encontradas diferenças estatisticamente significativas no desempenho dos subtestes. Concluindo, os dados da pesquisa coincidem com algumas pesquisas feitas de que parece haver um perfil dos disléxicos, que possuem menor desempenho nos subtestes que avaliam atenção visual e memória de trabalho. Entretanto, ao contrário dessas pesquisas, acredita-se que o menor desempenho no subteste Informação não seja uma característica peculiar dos disléxicos, mas sim consequência de sua dificuldade escolar / This study aimed to analyze and compare the performance on WISC-III in children with developmental dyslexia with the two control groups in order to check for specific performance characteristics of this scale in the group with dyslexia. Altogether, there were 57 subjects, divided between the group of dyslexics (n = 20), the control group 1 (GC1) formed by children without school difficulties of the same chronological age and grade of dyslexics (n = 21) and control group 2 (CG2) formed by students of the second year of elementary school, that were still in the initial process of reading and writing (n= 16). Data from the group of dyslexics were collected from the records of the Psychological Clinic at the Universidade Estadual de Londrina, which appeared the diagnosis of dyslexia in the period from 2006 to 2011. For the design of the control groups, the school that dyslexics were enrolled at the time of assessment (state, municipal and private) was considered. Statistical analysis was performed using the SPSS program for Windows, and the significance adopted was less than 0.05. As for the results, the group of dyslexics when compared to control groups had lower performance in sub scales Freedom from Distractibility and Processing Speed. Research shows that dyslexics often have low performance on some subtests, described as ACID profile. In this study, the dyslexic group had lower performance than the two control groups on Digit Span, Coding and Symbol Search, but this finding was not found in the Arithmetic subtest. The performance of dyslexics was also lower in Information and Similarities subtests, but only compared to the GC1, suggesting that this result is due to the difficulty of dyslexic school experienced through the years. Comparing schools, students in private schools performed better on subtest Coding and poorer performance on subtest Object Assembly only in relation to students of state school. As the private school group was very small, it is believed that this is a variation regarding this particular group of students. Regarding the comparison between dyslexics female and male, and with and without ADHD, there were no statistically significant differences. In conclusion, the survey data coincide with some research done that there seems to be a profile of dyslexics, who have lower performance in the tests that assess visual attention and working memory. However, unlike these studies, it is believed that the lower performance in the Information subtest is not a peculiar characteristic of dyslexics, but a consequence of their school difficulties
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FORMAS REDUZIDAS DO WISC-III: CARACTERÍSTICAS PSICOMÉTRICAS DE QUATRO MODELOS / SHORT FORMS OF THE WISC-III: PSYCHOMETRIC CHARACTERISTICS OF FOUR MODELSVechia, Shana Gularte Della 18 February 2011 (has links)
Made available in DSpace on 2016-03-22T17:26:30Z (GMT). No. of bitstreams: 1
DissMestrado Shana.pdf: 338004 bytes, checksum: 8c419b368591b3616b89b27429a39387 (MD5)
Previous issue date: 2011-02-18 / This study aim of this study was to verify the Short Form of Wechsler Intelligence
Scale for Children third edition (WISC-III) most appropriate for use in the
Brazilian context and to present the psychometric characteristics of four models
with two, for and eight subtests. The test takes about 90 minutes of application, a
long time considered for evaluation. Short Forms can reduce the time of application
and interpretation of results, facilitating its use in contexts where the intelligence
assessment is secondary or in cases of search. But they are not suitable for
classification of intelligence, or clinical purposes. The study was based in the
standardization sample to the Brazilian context (n = 801). The reliability coefficients
ranged from 0.81 to 0.94 and the validity of 0.66 to 0.93. Such coefficients were
significant and acceptable, suggesting that the four Short Forms can be used for a
quick estimate of IQ Total / O objetivo deste estudo foi verificar qual a Forma Reduzida da Escala de
Inteligência Wechsler para Crianças terceira edição (WISC-III) é mais adequada
para a utilização no contexto brasileiro e apresentar as características psicométricas
de quatro modelos com dois, quatro e oito subtestes. O teste leva em média 90
minutos de aplicação, um tempo considerado extenso para avaliação. As Formas
Reduzidas podem diminuir o tempo de aplicação e interpretação dos resultados,
facilitando sua utilização em contextos onde a avaliação da inteligência é secundária
ou em casos de pesquisa. O estudo foi baseado na amostra de padronização do
instrumento ao contexto brasileiro (n=801). Os coeficientes de fidedignidade
variaram de 0,81 a 0,94 e os de validade corrigida de 0,66 a 0,93. Tais coeficientes
foram significativos e aceitáveis, sugerindo que as quatro Formas Reduzidas podem
ser utilizadas para uma estimativa rápida do QI Total. Contudo, dos modelos
estudados, a FR4 formada por Completar Figuras, Informação, Cubos e Vocabulário
é a mais indicada para a utilização em função dos índices de validade, fidedignidade
e redução de tempo
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Características do desempenho no WISC-III em crianças com dislexia do desenvolvimento / Characteristics of the WISC-III performance in children with developmental dyslexiaMariana Kisse Sato Carvalho 22 March 2013 (has links)
Esta pesquisa teve como objetivo analisar e comparar o desempenho no WISC-III de crianças com dislexia do desenvolvimento com o de dois grupos controle, a fim de verificar a existência de características específicas no desempenho desta escala no grupo com dislexia. Ao todo foram 57 sujeitos, divididos entre o grupo dos disléxicos (n=20), o grupo controle 1 (GC1) formado por crianças sem queixa de dificuldade escolar da mesma idade cronológica e série dos disléxicos (n=21), e grupo controle 2 (GC2) formado por alunos do segundo ano do Ensino Fundamental, que ainda estavam no processo inicial de aprendizagem da leitura e da escrita (n=16). Os dados do grupo dos disléxicos foram coletados a partir dos registros da Clínica Psicológica da Universidade Estadual de Londrina, em que constava o diagnóstico de dislexia no período de 2006 a 2011. Para o delineamento dos grupos controle, levou-se em consideração também a escola em que os disléxicos estavam matriculados na época da avaliação (estadual, municipal e particular). Para análise estatística, foi utilizado o programa SPSS para Windows, sendo que a significância adotada foi menor que 0,05. Quanto aos resultados, o grupo dos disléxicos, quando comparado aos dois grupos controle, teve pior desempenho nas Escalas de Resistência à Distração e Velocidade de Processamento. Pesquisas mostram que os disléxicos geralmente apresentam baixo desempenho em alguns subtestes, descrito como perfil ACID. Nesta pesquisa, o grupo dos disléxicos teve desempenho menor que os dois grupos controle nos subtestes Dígitos, Código e Procurar Símbolos, mas este dado não foi encontrado no subteste Aritmética. O desempenho dos disléxicos também foi menor nos subtestes Informação e Semelhanças, mas apenas em comparação ao GC1, o que sugere que esse resultado seja devido à dificuldade escolar do disléxico vivenciada através dos anos. Comparando-se as escolas, os alunos da escola particular tiveram melhor desempenho no subteste Códigos e pior desempenho no subteste Armar Objetos apenas em relação aos alunos da escola estadual. Como o grupo da escola particular foi muito pequeno, acredita-se que isso seja uma variação referente a este grupo específico de alunos. Quanto à comparação entre os disléxicos do sexo feminino e masculino, e com e sem TDAH, não foram encontradas diferenças estatisticamente significativas no desempenho dos subtestes. Concluindo, os dados da pesquisa coincidem com algumas pesquisas feitas de que parece haver um perfil dos disléxicos, que possuem menor desempenho nos subtestes que avaliam atenção visual e memória de trabalho. Entretanto, ao contrário dessas pesquisas, acredita-se que o menor desempenho no subteste Informação não seja uma característica peculiar dos disléxicos, mas sim consequência de sua dificuldade escolar / This study aimed to analyze and compare the performance on WISC-III in children with developmental dyslexia with the two control groups in order to check for specific performance characteristics of this scale in the group with dyslexia. Altogether, there were 57 subjects, divided between the group of dyslexics (n = 20), the control group 1 (GC1) formed by children without school difficulties of the same chronological age and grade of dyslexics (n = 21) and control group 2 (CG2) formed by students of the second year of elementary school, that were still in the initial process of reading and writing (n= 16). Data from the group of dyslexics were collected from the records of the Psychological Clinic at the Universidade Estadual de Londrina, which appeared the diagnosis of dyslexia in the period from 2006 to 2011. For the design of the control groups, the school that dyslexics were enrolled at the time of assessment (state, municipal and private) was considered. Statistical analysis was performed using the SPSS program for Windows, and the significance adopted was less than 0.05. As for the results, the group of dyslexics when compared to control groups had lower performance in sub scales Freedom from Distractibility and Processing Speed. Research shows that dyslexics often have low performance on some subtests, described as ACID profile. In this study, the dyslexic group had lower performance than the two control groups on Digit Span, Coding and Symbol Search, but this finding was not found in the Arithmetic subtest. The performance of dyslexics was also lower in Information and Similarities subtests, but only compared to the GC1, suggesting that this result is due to the difficulty of dyslexic school experienced through the years. Comparing schools, students in private schools performed better on subtest Coding and poorer performance on subtest Object Assembly only in relation to students of state school. As the private school group was very small, it is believed that this is a variation regarding this particular group of students. Regarding the comparison between dyslexics female and male, and with and without ADHD, there were no statistically significant differences. In conclusion, the survey data coincide with some research done that there seems to be a profile of dyslexics, who have lower performance in the tests that assess visual attention and working memory. However, unlike these studies, it is believed that the lower performance in the Information subtest is not a peculiar characteristic of dyslexics, but a consequence of their school difficulties
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Exploring cognitive profiles of children with learning difficultiesTonn, Ryan Unknown Date
No description available.
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Exploring cognitive profiles of children with learning difficultiesTonn, Ryan 06 1900 (has links)
This study compares the role of cognitive processes in children diagnosed with learning disabilities (LD) through the traditional aptitude-achievement discrepancy model with students diagnosed on the basis of their low achievement alone. Historically, in North American settings, LD has been diagnosed when an individual’s achievement on standardized tests in reading, mathematics, or written expression is substantially lower than the expected level for age, schooling, and level of intelligence (American Psychiatric Association, 2000). As this conceptualization has come under increasing scrutiny, alternate identification methods such as the low achievement/non-discrepant method have been gaining support in the literature (e.g. Siegel, 1999; Stanovich, 2005). A secondary objective of this study is to determine whether identifiable differences exist between the cognitive profiles (WISC-IV) of students diagnosed with reading disability (RD) and mathematics disability (MD). This study also addresses whether the WISC-IV Working Memory Index can be used to differentiate between various categories of students with LD. The findings of this study indicate that the discrepant (DLD) and non-discrepant (NDLD) learning disability (LD) groups could not be distinguished by the WISC-IV Working Memory Index (WMI). Amongst the overall sample of students with LD, those with average or above working memory scores (high) could be differentiated from those with below average working memory scores (low) on the WISC-IV Perceptual Reasoning Index (PRI). Students with LD who had low WMI scores could also be differentiated from those with high WMI scores on four WIAT-II subtests. WMI scores could not be used to differentiate students with Reading Disability (RD), Mathematics Disability (MD) or Generalized Learning Disability (GLD). However, differences between these three LD groups were found on the WISC-IV Verbal Comprehension Index (VCI), Perceptual Reasoning Index (PRI), and marginally on the Processing Speed Index (PSI). Finally, the four WISC-IV Index scores were able to correctly predict group membership in the RD, MD, and GLD groups approximately 70% of the time. / Psychological Studies in Education
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Diagnostic Utility of WISC-IV General Abilities Index and Cognitive Proficiency Index Difference Scores among Children with ADHDJanuary 2010 (has links)
abstract: The Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) General Abilities Index (GAI) and Cognitive Proficiency Index (CPI) have been advanced as possible diagnostic markers of Attention-Deficit Hyperactivity Disorder (ADHD). Diagnostic utility statistics were used to test the ability of GAI-CPI difference scores to identify children with ADHD. Participants included an ADHD sample (n = 78), a referred but non-diagnosed hospital sample (n = 66), and a simulated sample with virtually identical psychometric characteristics as the WISC-IV 2,200 child standardization sample. Receiver Operating Characteristic (ROC) analyses were computed to determine the utility of GAI-CPI difference scores to identify children with ADHD. The GAI-CPI discrepancy method had an AUC of .64, 95% CI [0.58, 0.71] for the ADHD sample compared to the simulated normative sample and an AUC of .46, 95% CI [0.37, 0.56] for the ADHD sample compared to the referred but non-diagnosed hospital sample. These AUC scores indicate that the GAI-CPI discrepancy method has low accuracy. / Dissertation/Thesis / M.A. Educational Psychology 2010
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