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Peer reviewedBashinski, Howard S.; And Others – Journal of Experimental Child Psychology, 1985
Three experiments investigated the dynamics of human infant visual fixation. Results showed that, over a series of trials, four-month-olds fixate longer on a complex than on a simple stimulus. Findings challenge prevailing cognitive-schema theories as a complete account of the dynamics of infant visual fixation. A two-process theory that accounts…
Descriptors: Cognitive Processes, Difficulty Level, Eye Fixations, Infant Behavior
Peer reviewedKolata, Gina – Science, 1985
To determine how hard it is for computers to solve problems, researchers have classified groups of problems (polynomial hierarchy) according to how much time they seem to require for their solutions. A difficult and complex proof is offered which shows that a combinatorial approach (using Boolean circuits) may resolve the problem. (JN)
Descriptors: Classification, Computer Science, Difficulty Level, Mathematical Logic
Peer reviewedRichek, Margaret Ann – Reading Research Quarterly, 1976
Descriptors: Difficulty Level, Elementary Education, Reading Comprehension, Reading Research
Peer reviewedChild, John – Administrative Science Quarterly, 1973
Concludes that, in the organizations studied, complexity cannot be satisfactorily predicted or fully understood without reference to the economics of scale, but that it is neither theoretically convincing nor statistically demonstrable that size in itself is the major determinant of formalization. (Author/JN)
Descriptors: Bureaucracy, Comparative Analysis, Decentralization, Difficulty Level
Peer reviewedLewis, Michael; And Others – Child Development, 1971
Descriptors: Attention, Attention Span, Cognitive Development, Difficulty Level
Peer reviewedWilkins, Greg; Epting, Franz – Psychological Reports, 1971
Descriptors: Cognitive Ability, Cognitive Processes, Difficulty Level, Discrimination Learning
Peer reviewedBlack, Kathryn Norcross; And Others – Child Development, 1971
Descriptors: Age Differences, Attitudes, Difficulty Level, Pictorial Stimuli
Smith, Timothy A.; Shaw Carl N. – J Educ Meas, 1969
"The usefulness of a structural analysis of pretest items in designing an instructional system is illustrated by the application of this technique to 100 addition computation problems. (Author)
Descriptors: Difficulty Level, Instructional Design, Item Analysis, Objectives
Krop, Harry – Training Sch Bull, 1970
Descriptors: Difficulty Level, Exceptional Child Research, Mental Retardation, Pictorial Stimuli
Lee, Seong Soo; Gagne, Robert M. – J Exp Psychol, 1970
Descriptors: Codification, Concept Formation, Difficulty Level, Hypothesis Testing
Arnold, J. C. – J Exp Educ, 1969
Descriptors: Difficulty Level, Guessing (Tests), Mathematical Models, Methods
Moffett, Adrienne – J Exp Child Psychol, 1969
Based on an M.A. degree submitted to McMaster University, England.
Descriptors: Attention Span, Difficulty Level, Eye Fixations, Infant Behavior
Nitko, Anthony J.; Feldt, Leonard S. – Amer Educ Res J, 1969
Descriptors: Difficulty Level, Factor Analysis, Hypothesis Testing, Item Analysis
Peer reviewedAgre, Gene P. – Journal of Thought, 1983
Focusing on the precise grounds on which a person can be said to have solved a problem, six conditions are articulated which govern the application of the concept and its relationship to trying and intention. The "solving" concept is found in synonymous phrases such as "figuring out" and "finding the solution." (Author/CM)
Descriptors: Difficulty Level, Educational Objectives, Elementary Secondary Education, Problem Solving
Peer reviewedBlanchard, Jay S. – Perceptual and Motor Skills, 1981
The Minnesota Multiphasic Personality Inventory was analyzed by readability formulas which represent varying criterion of comprehension from 50 to 90 percent. If an examiner wishes to ensure 90 percent comprehension of the inventory items, nine years of successful schooling seem necessary. (Author/SJL)
Descriptors: Content Analysis, Difficulty Level, Personality Measures, Readability


