01970cam a22003252u 4500001000800000005001700008007001400025008004100039035002000080037001900100040002700119091000800146100002400154245013000178260006800308300001000376500014600386520067900532530007901211533008101290650002901371650002801400650002901428650002901457650002101486650003301507650002501540856003701565984004201602524139420181018121544.0he u||024||||080220s1973 xxu ||| b ||| | eng d 9(ericd)ED074155 aED074155bERIC aericdbengcericddMvI amfm1 aHofmann, Richard J.10aIndices of Complexity and Interpretationh[microform] :bTheir Computation and Uses in Factor Analysis /cRichard J. Hofmann. a[Washington, D.C.] :bDistributed by ERIC Clearinghouse,c1973. a16 p. aERIC Note: Paper presented at annual meeting of the National Council of Measurement in Education (New Orleans, Louisiana, March 1973).5ericd aIn this methodological paper two indices are developed: a complexity index and an interpretation index. The complexity index is a positive number indicating on the average how many factors are used to explain each variable in a factor solution. The interpretation index will be positive ranging from zero to unity; unity representing a perfect independent cluster solution and zero representing the poorest factor solution in terms of complexity. Through empirical application to the classic 24 psychological variables it is demonstrated that the indices may be computed by hand and are easily interpreted providing a basis for comparing different factor solutions. (Author) aMay also be available online. Address as at 14/8/18:uhttps://eric.ed.gov/ aMicrofiche.b[Washington D.C.]:cERIC Clearinghouseemicrofiches : positive.17aCluster Analysis.2ericd17aFactor Analysis.2ericd17aFactor Structure.2ericd07aResearch Reports.2ericd07aSpeeches.2ericd07aStatistical Analysis.2ericd07aTables (Data)2ericd41uhttps://eric.ed.gov/?id=ED074155 aANLcmc 2253 ED074155d77000000077377