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Block, Karen K.; And Others – Developmental Psychology, 1973
Results showed that reversal shift was easier than extradimensional shift and that relative shift difficulty was unaffected by instructions, in contrast to findings with college-age subjects. (Authors)
Descriptors: Age Differences, Concept Formation, Data Analysis, Developmental Psychology
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Seitz, Victoria R. – Child Development, 1971
It was concluded that the scaled preference values have high face validity and that they suggest the need for reexamination of some previous experimental results. (Author)
Descriptors: Cluster Analysis, Dimensional Preference, Kindergarten Children, Measurement Techniques
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Eysenck, H. J.; Iwawaki, Saburo – Perceptual and Motor Skills, 1971
Descriptors: Attitudes, Cross Cultural Studies, Design Preferences, Discrimination Learning
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Ferguson, Douglas; And Others – Information Technology and Libraries, 1982
Describes the scope, objectives, and status of a study of user responses to public online catalogs conducted in 1982 with Council on Library Resources (CLR) funding. The framework for evaluating the user-catalog interface, data collection, and questionnaire content are discussed, and a copy of the survey questionnaire is appended. (Author/JL)
Descriptors: College Libraries, Data Collection, Design Preferences, Higher Education
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Kafer, Norman F. – Journal of Psychology, 1981
Developmental changes in the encoding of unfamiliar faces was studied in three experiments with Australian 7- to 12-year-old children (N=24 in experiment 1, N=48 in experiment 2, and N=32 in experiment 3). Results showed that younger children encoded unfamiliar faces in terms of striking isolated features and that avoidant children made more…
Descriptors: Age Differences, Children, Developmental Stages, Dimensional Preference
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Peterson, John M. – Perceptual and Motor Skills, 1981
To test the belief that good designers are the best judges of architectural design, 27 architecture students rated 15 architectural designs by other students. Instructors' ratings were criteria. As predicted, good student designers were not more accurate than poor student designers; average students were most accurate. (Author/SJL)
Descriptors: Ability, Architects, Architectural Education, Architecture
Regan, David; And Others – Scientific American, 1979
Discusses how an individual's visual system processes cues to motion in depth. A theoretical model of the operations of the visual system that underlie the perception of motion in depth is included. (HM)
Descriptors: Cognitive Processes, Dimensional Preference, Eyes, Models
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Gilliatt, Michael T. – Studies in Art Education, 1980
To identify an easy and effective method by which the classroom teacher can expand student art preferences, this study examined three suggested approaches: habituation; art criticism (Feldman-Mittler Methodology); and art production (studio activities). Combinations of these approaches were studied in interaction with students' grade level. (SJL)
Descriptors: Age Differences, Art Appreciation, Art Education, Comparative Analysis
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Zimring, Craig M.; Reizenstein, Janet E. – Environment and Behavior, 1980
Examines the status of postoccupancy evaluation, which is the study of the effectiveness of designed environments for their human users. Issues addressed include generality, breadth of focus, applicability, sponsorship, methodology, and future directions. (WB)
Descriptors: Architectural Research, Building Design, Design Preferences, Design Requirements
Anderson, Mary Alice – Book Report, 1996
Explains how to create slide shows via computer using common software programs such as ClarisWorks. Highlights include identifying the audience, organizing the information, becoming familiar with technical specifications of the equipment, the use of text, style consistency, the use of graphics, and the use of color. (LRW)
Descriptors: Audience Analysis, Color, Computer Assisted Instruction, Computer Graphics
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Stover, Mark; Zink, Steven D. – RSR: Reference Services Review, 1996
A review of college and university library home pages concluded that many higher education home pages are badly designed, difficult to navigate, and a poor reflection on the institution. The most common shortcoming was the tendency to create too many links or overly large graphics. An appendix lists points to consider when constructing a home…
Descriptors: Academic Libraries, Computer Graphics, Design Preferences, Higher Education
Comely, Grace – PEB Exchange, 2002
Describes the efforts of School Works, a not-for-profit company in the United Kingdom which has developed a secondary school design process that enables communities to create unique school buildings that cater to their own particular needs. Discusses its work with Kingsdale Secondary School in south London. (EV)
Descriptors: Community Involvement, Design Preferences, Educational Facilities Design, Educational Facilities Planning
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Colombo, John; And Others – Cognitive Development, 1995
Investigates the dominance of global versus local visual properties in four-month-old infants as a function of individual differences in fixation duration. Suggests that long-looking infants process visual information more slowly than short-looking infants, and there may be qualitative differences in the manner in which the two groups of infants…
Descriptors: Attention, Cognitive Processes, Dimensional Preference, Discrimination Learning
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Rabinowitz, F. Michael; Howe, Mark L. – Journal of Experimental Child Psychology, 1994
Children's use of the middle concept was assessed in two developmental studies. Experiment 1, with kindergarten through fifth-grade students, showed marked improvement in the mastery of the middle concept across elementary grades. In Experiment 2, discrimination pretraining with two nonoverlapping stimulus sets transferred to the novel test…
Descriptors: Age Differences, Concept Formation, Dimensional Preference, Elementary Education
Lavagnino, Merri Beth – Library Administration and Management, 1998
Describes the four-step process of designing a library systems office at the University of Illinois at Urbana-Champaign (UIUC): (1) Collect Data: Why Create a Systems Office; (2) Organize and Present Preliminary Data: Educate and Involve Stakeholders; (3) Identify Actions: Write a Plan; and (4) Implement. Addresses the major problems encountered,…
Descriptors: Academic Libraries, Design Preferences, Facility Guidelines, Facility Planning
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