Under mild assumptions, when appropriate elements of a factor loading matrix are specified to be zero, all orthogonally equivalent matrices differ at most by column sign changes. A variety of results are given here for the more complex case in which the specified values are not necessarily zero. (Author/JKS)

A general factor analysis computer algorithm is briefly discussed. The algorithm is highly transportable with minimum limitations on the number of observations. Both singular and non-singular data can be analyzed. (Author/JKS)

A computer program to compare factor matrices which have at least some variables in common is described. The program calculates both the salient variable similarity index and the congruence coefficient. There are no limits for the number of variables or factors in either matrix. (Author/JKS)

McQuitty has developed a number of pattern analytic methods that can be computed by hand, but the matrices of associations used in these methods cannot be so readily computed. A simplified but exact method of computing product moment correlations based on Q sort data for McQuitty's methods is described. (Author/JKS)

A formula is derived for ascertaining factor scores for the factor analytic method: Little Jiffy, Mark IV. This formula is then employed to derive a second formula giving an exact determination of the generalized Kuder-Richardson estimate of the reliability of scores on a Little Jiffy factor. (Author/JKS)

Intercorrelations among Uzgiris and Hunt's scales for 2 samples of infants were subjected to cluster analysis and factor analysis. The results of these procedures were similar for both samples. Three clusters from the first analysis resembling 3 factors from the second. The findings were also consistent with Uzgiris and Hunt's observations on the…

Three properties of the binormamin criterion for analytic transformation in factor analysis are discussed. Particular reference is made to Carroll's oblimin class of criteria. (Author)

The G coefficient is proven to be an inaccurate indicator of latent relations and, therefore, unacceptable as a measure of association when used in R-type factor analysis. The G coefficient is useful in measuring another type of relation, the simple agreement of scores for a pair of items. (Author/BS)

Exploratory factor analysis derives its key ideas from many sources, including Aristotle, Francis Bacon, Descartes, Pearson and Yule, and Kant. The conclusions of exploratory factor analysis are never complete without subsequent confirmatory factor analysis. (Author/GDC)

This paper establishes a loss function for the alpha factor analysis. Some analogies to the maximum likelihood factor analysis are discussed. (Author/BW)

Four methods for combining several scores of tests given the same individual are discussed: (1) weighted standardized scores; (2) percentile rank methods; (3) the principal components approach; and (4) the optimal weights method. The optimal weights method is recommended because of its simplicity. (SLD)

Despite certain limitations, factor analysis aids in the identification and characterization of cognitive processes. Variables manipulated for this purpose must be well constructed psychometrically, and it is desirable to dissect tasks into hypothesized components and to use factor analysis in conjunction with other techniques. Well-known…

Performed factor analyses of 100 alcoholics' reports of the effects that they experience after alcohol consumption. Five factors emerged: Hangover, Euphoria, Flushing, Seizures, and Sleepiness. These factors may be helpful in assessing theories on the etiology of alcoholism and in studies of ethanol's effects on subsets of alcohol abusers. (BH)

First- and higher-order factor analyses are explained from a conceptual rather than a mathematical perspective. A case is made for performing higher-order factor analysis when factors are theoretically related. Actual scores of 301 children on 24 ability measures are used to demonstrate interpretation of second-order factors using the FORTRAN…

Factor analysis is a statistical method of reducing a set number of variables by finding similarities between them. This paper reviews the potential of factor analysis, focusing on exploratory factor analysis, in research on psychotherapy. Within the field of psychotherapy, the use of factor analysis can be classified into three groups. The first…