On Measuring Forgiveness: Implications from Smallest Space Analysis of the Forgiveness Likelihood Scale

摘要

The structure of the Rye et al.’s Forgiveness Likelihood Scale was evaluated using the principal components analysis and Guttman’s Smallest Space Analysis. Participants (n=98) were students in Introduction to Psychology classes. While the former suggested a one-factor solution, the latter suggested differentiating the items based on the facet of ease of forgiving with three subsets: easy, medium, and difficult items. Unexpectedly, the Total Forgiveness Likelihood Scale score and the subscale based on just difficult items correlated significantly with the Fantasy subscale of the Interpersonal Reactivity Index. A mapping sentence is offered with four facets and their putative constituent elements as a way to conceptualize the development of new, or to improve upon current, forgiveness likelihood scales.