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Bolla-Wilson, Karen; Bleecker, Margit L. – 1985
Although the accuracy of the diagnosis of cognitive impairment in the elderly depends on the appropriateness of the norms for the neuropsychological tests used, the importance of examining health status, native intelligence, and gender when attempting to describe cognitive changes of aging has received little attention. The Rey Auditory Verbal…
Descriptors: Age Differences, Aging (Individuals), Cognitive Measurement, Memory

Ackerman, Peggy T.; And Others – Journal of Learning Disabilities, 1990
Children (N=20, age 9-12) with severe dyslexia were slower in counting from memory and naming alternating digits and letters than children with milder reading impairment. The children most disabled also had poorer phonological sensitivity, shorter digit spans, and lower verbal intelligence quotients. (Author/DB)
Descriptors: Cognitive Processes, Computation, Dyslexia, Elementary Education

Nasland, Jan Carol; Schneider, Wolfgang – European Journal of Psychology of Education, 1991
Describes a German longitudinal study of the relationship among verbal ability, memory capacity, phonological awareness, and reading performance. Reports that the relationship between memory capacity and phonological awareness remained stable over time. Concludes that memory capacity predicted phonological awareness task performance, phonological…
Descriptors: Elementary Education, Foreign Countries, Longitudinal Studies, Memory
Lee, Steven W. – Diagnostique, 1990
The Cognitive Levels Test, for use with ages 5-21, is designed as a quick cognitive assessment instrument with 4 subdomains: verbal reasoning, abstract reasoning, quantitative reasoning, and memory. This paper describes the test's administration, summation of data, standardization, reliability, and validity. (JDD)
Descriptors: Abstract Reasoning, Cognitive Ability, Cognitive Measurement, Elementary Secondary Education
Sabatino, David A. – Diagnostique, 1990
The Stanford Binet Intelligence Scale measures four areas of cognitive abilities (verbal reasoning, abstract/visual reasoning, quantitative reasoning, and short-term memory), providing a continuous scale for appraising cognitive development from age two to adult. This paper describes the test's administration, standardization, reliability, and…
Descriptors: Abstract Reasoning, Adults, Cognitive Measurement, Cognitive Tests

Korkman, Marit; Pesonen, Aino-Elina – Journal of Learning Disabilities, 1994
Comparison of eight-year-old children with attention deficit hyperactivity disorder (ADHD) (n=21), learning disorder (LD) (n=12), or both (n=27) on neuropsychological measures found that ADHD children were impaired in control and inhibition of impulses; children with LD in phonological awareness, verbal memory span, storytelling, and verbal IQ;…
Descriptors: Attention Control, Attention Deficit Disorders, Cognitive Ability, Comparative Analysis

Hooper, Frank H.; And Others – Human Development, 1985
Assesses 180 college students at three ages (17-23, 37-43, and 61-80) to examine the relative availability of Piagetian formal reasoning concepts; the relationship of these formal reasoning performances to Horn and Cattell's psychometric theory of general fluid and crystallized intelligence; and developmental patterns among standardized…
Descriptors: Cognitive Ability, Cognitive Style, College Students, Factor Structure

Vogel, Susan A.; Walsh, Patricia C. – Annals of Dyslexia, 1987
Gender differences in level and pattern of cognitive abilities were examined in 49 learning-disabled college students. Females were stronger in visual-motor abilities and verbal conceptualization, whereas the males' highest abilities were nonverbal visual-spatial. Both groups showed weaknesses in memory for digits and factual knowledge and in…
Descriptors: Arithmetic, Cognitive Ability, Cognitive Measurement, Cognitive Tests
Meyer, Bonnie J. F.; Rice, G. Elizabeth – 1983
Discourse can be organized in many different ways, two of these being comparison and a collection of descriptions. These two discourse types correspond to schemata that vary in their organizational components, and these differences can be expected to produce differences in the processing of text. For example, research has shown that for young…
Descriptors: Age Differences, Cognitive Style, Comparative Analysis, Descriptive Writing