Decomposing the True Score Variance in Rated Responses to Divergent Thinking-Tasks for Assessing Creativity: A Multitrait-Multimethod Analysis.

ABSTRACT: It is shown how the Correlated Traits Correlated Methods Minus One (CTC(M - 1)) Multitrait-Multimethod model for cross-classified data can be modified and applied to divergent thinking (DT)-task responses scored for miscellaneous aspects of creative quality by several raters. In contrast to previous Confirmatory Factor Analysis approaches to analyzing DT-tasks, this model explicitly takes the cross-classified data structure resulting from the employment of raters into account and decomposes the true score variance into target-specific, DT-task object-specific, rater-specific, and rater-target interaction-specific components. This enables the computation of meaningful measurement error-free relative variance-parameters such as trait-consistency, object-method specificity, rater specificity,

SUBMITTER: Jendryczko D 

PROVIDER: S-EPMC11508196 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature