The Osgood's "semantic differential" form was administered to 40 male and 48 female college students in an undergraduate psychology course. Fifteen emotions, selected a priori but with the intention of comprehensive coverage of the affective sphere, were used as the concepts to be defined. Each concept was evaluated in terms of twenty connotative 7-point scales. The intercorrelations matrix based upon the female sample is given in this object.
Block, J. (1957). Studies in the phenomenology of emotions. Journal of Abnormal and Social Psychology, 54, 358-363.
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data(Block) Block block.names=colnames(Block) block.names ## Not run: Block.m.1<-CircE.BFGS(R=Block,v.names=block.names,m=1,N=48,start.values="IFA") # You will get the following warnings: # WARNING! # INPUT COVARIANCE/CORRELATION MATRIX IS NOT POSITIVE DEFINITE. # STARTING VALUES CANNOT BE COMPUTED USING 'IFA': SET start.values='PFA' # Error in ifa(R, k) : # Make sure the listwise, not pairwise, missing data treatment has been selected # in computing the input matrix # # The error message reported by CircE highlights that the problem in fitting a CSPMF # to Block's data occurs at the early stage of starting values computation. # CircE offers a way to sidestep this problem without actually trying to discern its cause: # In fact, at this stage, the IFA cannot be carried out since the inverse of the # non-positive definite Block's matrix has negative values # on the diagonal (Joreskog, 1969, p. 54): diag(solve(Block)) # To overcome this problem, CircE offers an alternative ways to obtain initial # parameters estimation, based on Principal Factor Analysis (PFA): Block.m.1<-CircE.BFGS(R=Block,v.names=block.names,m=1,N=48,start.values="PFA") ## End(Not run)
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