Finkelstein, Lisa M.
Ph.D. (Doctor of Philosophy)
Department of Psychology
Employees--Rating of--Psychological aspects||360-degree feedback (Rating of employees)||Self-perception
The current research was conducted to clarify the meaning of computational self-awareness (mathematical discrepancy between self- and other-ratings) in multisource feedback. Through the application of Item Response Theory (IRT), the relationship between observed and underlying latent performance domains on a 360° assessment was compared for high versus low computationally self-aware individuals. These functional relationships were investigated to uncover potential sources of computational self-awareness variability. IRT analyses of differential item functioning (DIF) allowed for the comparison of latent performance domain/item endorsement relationships across high and low computationally self-aware groups. These analyses revealed two items that differentiated between high and low computationally self-aware individuals. Interpretation of the content of these items led to a “personal warmth” explanation of self-awareness differentiation. Classical Test Theory (CTT) ability distributions further suggest that high self-aware individuals may have more accurate self-ratings than do their low self-aware counterparts. These two perspectives can be utilized by future researchers to direct studies aimed at further understanding of the computational self-awareness construct.
Kulas, John T., "Clarifying the meaning of computational self-awareness in multisource feedback : investigating measurement equivalence through the application of differential item functioning analyses" (2002). Graduate Research Theses & Dissertations. 1809.
[x], 153 pages (some color pages)
Northern Illinois University
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