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Ameel, Eef; Storms, Gert – Journal of Memory and Language, 2006
In three studies, we investigated to what extent a geometrical representation in a psychological space succeeds in predicting typicality in animal, natural food and artifact concepts and whether contrast categories contribute to the prediction. In Study 1, we compared the predictive value of a family resemblance-based prototype model with a…
Descriptors: Comparative Analysis, Predictor Variables, Concept Formation, Mathematical Models
Johnson, Ed – 1997
Accurately denoting colors and measuring their meanings have been long-standing challenges for scholars and artists alike. This study addressed this problem by suggesting that the use of a model of cyan, magenta, and yellow primary colors--which is common in industry but is generally neglected by scholars and fine artists--could greatly benefit…
Descriptors: Color, Color Planning, Dimensional Preference, Models
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Fein, Greta G.; Eshleman, Suzann – Developmental Psychology, 1974
Uses the transposition paradigm to compare the influence of the adjectives "same" and "different" on the test choice of 5- and 9-year-old children. (Author/SDH)
Descriptors: Age Differences, Cognitive Development, Concept Formation, Dimensional Preference
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Odom, Penelope B. – American Journal of Mental Deficiency, 1974
Descriptors: Concept Formation, Decision Making, Dimensional Preference, Elementary School Students
Sleight, Christine C.; Prinz, Philip M. – 1981
The study reported here examined the use of color terms by 36 male and female students in kindergarten through fifth grade in a suburban New York City school. The children were asked to label colors using the fanciest color term they could. The only significant difference found was between younger females and older females, tentatively indicating…
Descriptors: Child Language, Children, Color, Dimensional Preference
Zarbatany, Lynne; Feldman, Gary – 1981
Following a review of the literature on responses of autistic persons to environmental stimulation, three experiments are detailed which examine the relationship between modality preference and rate of acquisition of a discrimination task. First, seven autistic children's preference for colored lights and/or simple tones was assessed in a sensory…
Descriptors: Auditory Discrimination, Aural Learning, Autism, Dimensional Preference
Winn, William; Everett, Richard J. – 1978
A total of 73 university freshman and 93 grade 7 and 8 students took part in a study of the differences in the affective meaning of color and black-and-white pictures. Subjects rated black-and-white and color slides on nine seven-point semantic differential scales and a red-blue scale. Results indicated that differences in affective meaning…
Descriptors: Affective Measures, Age Differences, College Freshmen, Color
Lipps, Leann E. T. – 1973
To investigate two measures which have been used to assess children's attention to stimulus dimensions, component selection, and dimension preference, both measures were administered to 38 3 1/2 to 5-year-olds and 20 5- to 6 1/2-year-olds. Seven to ten days after the dimension preference task was given. the component selection measure was…
Descriptors: Age Differences, Attention, Cognitive Development, Cognitive Processes
Randhawa, Bikkar S.; Hunt, Dennis – 1973
The effect of dimensional training on the mode of response of kindergarten children to two-dimensional stimulus materials was investigated by Kruskal-Shepard scaling and Procrustes rotation procedures. Twenty-two kindergarten children were used as Ss. The stimuli consisted of five cardboard rectangles varying on two dimensions of colour and size.…
Descriptors: Dimensional Preference, Discrimination Learning, Kindergarten, Kindergarten Children
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Smith, Linda B.; Kemler, Deborah G. – Cognitive Psychology, 1978
The contrast between holistic and differentiated perception of multidimensional stimuli is reconceptualized. Hypotheses about the experiential status of dimensions within holistic perception were tested as explanations of children's general perceptual mode and of adults' integral mode. Three levels of dimensional status are described. (Author/RD)
Descriptors: Dimensional Preference, Higher Education, Novelty (Stimulus Dimension), Perception
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Swanson, H. Lee – Journal of Learning Disabilities, 1977
Short-term memory recognition scores and strategies were investigated in 10 learning disabled and 10 educable mentally retarded (EMR) students (10-13 years old). (Author/CL)
Descriptors: Dimensional Preference, Elementary Education, Exceptional Child Research, Learning Disabilities
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Phye, Gary D.; Zimmerman, Bonnie – Journal of Genetic Psychology, 1976
The influence of the ability to conserve length in the development of a size concept was investigated in males and females aged 4 years through 9 years. (GO)
Descriptors: Cognitive Development, Concept Formation, Conservation (Concept), Dimensional Preference
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Eson, Morris E.; And Others – Journal of Genetic Psychology, 1977
Twenty children, 22 to 49 months old, were given a free choice of becoming involved in one of four activity settings characterized as being familiar or novel and active or passive. Children preferred novel activities to familiar ones, while activity level depended on situational familiarity. (BD)
Descriptors: Arousal Patterns, Attention, Classroom Environment, Dimensional Preference
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Smiley, Sandra S. – Journal of Experimental Child Psychology, 1973
Investigated effects of dimensional dominance of stimuli and subject's ages in initial and shift learning of discrimination tasks. (DP)
Descriptors: College Students, Dimensional Preference, Discrimination Learning, Grade 3
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Odom, Richard D.; Corbin, David W. – Child Development, 1973
Uni- and multidimensional processing of 6- to 9-year olds was studied using recall tasks in which an array of stimuli was reconstructed to match a model array. Results indicated that both age groups were able to solve multidimensional problems, but that solution rate was retarded by the unidimensional processing of highly salient dimensions.…
Descriptors: Cognitive Development, Dimensional Preference, Elementary School Students, Information Processing
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