title: A SIMPLICIAL DESIGN FOR THE ANALYSIS OF CORRELATIONAL LEARNING DATA.
abstract: The usual matrix of intercorrelations among trials in a study of the learning process produces a superdiagonal matrix with resulting factors which are uninteresting: viz, a factor for the early trials and a factor for the later trials; with perhaps also a factor for the middle trials. By introducing several independent measures of learning for each trial a more meaningful factor structure can be obtained.
authors.affiliation: a The University of Texas .
authors.forename: B
authors.initials: B
authors.lastname: Fruchter
authors.affiliation: b American Institutes for Research , Washington , D.C.
authors.forename: E A
authors.initials: EA
authors.lastname: Fleishman