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Autor/inn/enReid, Christopher J.; Seibert, Warren F.
TitelA Factor Analytic Approach to the Analysis of Learning Curves.
Quelle(1973), (18 Seiten)
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BeigabenTabellen
Dokumenttypgedruckt; online; Monographie
SchlagwörterTagungsbericht; Ability; Ability Identification; Factor Analysis; Individual Differences; Learning; Learning Processes; Stimuli; Trend Analysis
AbstractFrom the ideas well set forth by Ferguson, Messick and others, a method was sought that would identify different abilities that entered at different stages in a task. The method selected should meet Cronbach's criterion that it would consider individual differences as well as group performance. Tucker's (1960, 1966) method seemed to be able to identify differing abilities while at the same time preserve individual differences. Using Kaiser's Little Jiffy Mark IV to skirt the problem of difficulty factors, a factor of two film tests found two factors operating in each test. Had the task been longer (some authors recommended 1000 items) more factors might have been found; it is equally likely, however, that diminishing returns would soon obtain. It was demonstrated that Tucker's method revealed abilities that a conventional learning curve would mask, and learning curves of several different individuals were illustrated. Some attempt was made to describe the obtained factors with other variables; at least one factor correlated with a variable similar to Gestalt completion or serial integration. Finally the effect of three stimulus characteristics upon item preference was considered. Test part (number of stimulus frames, or number of delay frames) rarely accounted for an important part of item preference, whereas position in the array always did and color did in the two color tests. (Author/MLP)
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2004/1/01
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