The Nomological Network of Fit: Where Do Different Fit Measurements Fit?

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Heather G. Jackson (Creator)
Institution
Appalachian State University (ASU )
Web Site: http://www.library.appstate.edu/
Advisor
Shawn Bergman

Abstract: The concept of Person-Environment fit has been studied utilizing three measurement techniques (i.e., perceived, subjective, and objective) to capture the concept of fit. The relationships between three measures of fit using the same context, content dimension, and outcomes were examined using students’ and instructors’ learning goals to evaluate their predictions of behavioral and attitudinal outcomes. Data were collected at three time periods during the semester from undergraduate students. It was expected that: 1) the three measurements of fit would be weakly related to one another; 2) subjective and perceived fit would be related to attitudinal outcomes more strongly than to behavioral outcomes with perceived being the stronger predictor; and 3) objective fit would be related to behavioral outcomes more strongly than to attitudinal outcomes. Support was found for the first set of proposed fit-outcome relationships, partial support for the first set of proposed relationships, and no support for the final set of proposed relationships. No traditional fit relationships were revealed; however, positive and negative fit relationships significantly predicted attitudes and behaviors. These relationships provided evidence that researchers should discriminate among the types of fit because the three fit measurement approaches are not equivalent and differentially predict academic-related outcomes.

Additional Information

Publication
Thesis
Jackson, H.G. (2011). The Nomological Network of Fit: Where Do Different Fit Measurements Fit? Unpublished master’s thesis. Appalachian State University, Boone, NC.
Language: English
Date: 2011
Keywords
Person-organization fit, Academic outcomes, Student-instructor fit, Attitudinal and behavioral outcomes, Polynomial Regression