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Freeman, N. H.; Parker, D. M. – British Journal of Psychology, 1973
Results clearly show a preference for correctly classified familiar shapes over their novel counterparts. (Authors)
Descriptors: Attitudes, Classification, Data Analysis, Dimensional Preference
Peer reviewed Peer reviewed
Jones-Molfese, Victoria J. – Child Development, 1972
This investigation also studied the relationship between gestational age and preferences for contour. (CB)
Descriptors: Age Differences, Data Analysis, Dimensional Preference, Eye Fixations
Peer reviewed Peer reviewed
Richardson, Jack; Stanton, Sara K. – American Journal of Psychology, 1972
Results are consistent with the assumption that subjects do not change functional stimuli because of the negative transfer produced by learning different responses to the same nominal stimuli. (Authors/CB)
Descriptors: Associative Learning, Cues, Data Analysis, Dimensional Preference
Peer reviewed Peer reviewed
Miller, Patricia H. – Child Development, 1973
Results show that both kindergarten nonconservers and kindergarten conservers found height most salient. Third-grade conservers found quantity most salient but could easily attend to height and width. (Author/CB)
Descriptors: Age Differences, Attention, Conservation (Concept), Data Analysis
Peer reviewed Peer reviewed
Tighe, Thomas J.; Tighe, Louise S. – Journal of Experimental Child Psychology, 1972
Presolution reversal prevented or significantly retarded learning in kindergarten and first-grade children but did not hinder learning in fifth-grade children. (Authors)
Descriptors: Age Differences, Concept Formation, Cues, Data Analysis
Peer reviewed Peer reviewed
Bartol, Curt; Pielstick, N. L. – Journal of Experimental Child Psychology, 1972
It was concluded that previous explanations of visual exploration or stimulus preference have been oversimplified, and studies on the whole have failed to take into account a crucial interaction between sex and age variables. (Authors)
Descriptors: Age Differences, Ambiguity, Behavioral Science Research, Data Analysis