Identification, Reflection, And Correlation: Problems In The Bases Of Repertory Grid Measures

Abstract

Repertory grids, deriving from George Kelly's personal construct theory, have been used to provide measures of a number of personality and cognitive variables. Several of these grid measures, such as the identification index, some measures of cognitive complexity, and other indices extracted from factor analyses of grids, are based on correlations between the columns (elements) of the grid data matrix. These measures are problematic and unstable because the intercolumn correlations depend on the direction of scoring across each of the matrix rows (constructs). This direction is not guided by explicit or theoretically justified rules and appears to be arbitrary and inconsistent between researchers. Also, correlation is a poor measure of element similarity, the basis of the identification measure. The importance of the valuating aspect of construing may provide a basis for the standardization of scoring. And scoring from the valued pole of a construct may help bring stability and meaning to the correlation-based measures.