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A structural comparison between state and trait self‐regulation models
Author(s) -
Hong Eunsook
Publication year - 1995
Publication title -
applied cognitive psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 100
eISSN - 1099-0720
pISSN - 0888-4080
DOI - 10.1002/acp.2350090406
Subject(s) - trait , psychology , cognition , confirmatory factor analysis , personality , metacognition , cognitive psychology , big five personality traits , social psychology , factor (programming language) , developmental psychology , domain (mathematical analysis) , structural equation modeling , statistics , computer science , mathematics , neuroscience , mathematical analysis , programming language
State and trait‐regulation models were compared in 315 eleventh‐graders using simultaneous confirmatory factor analysis. Each of the first‐, second‐, and third‐order factor models was found to describe the data from both state and trait measures well. In both state and trait self‐regulation models, the third‐order factor, self‐regulation, is composed of metacognition and effort, and the second‐order factor, metacognition, is composed of awareness, cognitive strategy, planning, and self‐checking. Findings of invariant factor loadings and factor correlations across state and trait measures indicate that the state and trait self‐regulatory factor structures are similar. Unlike the state‐trait distinctions found in affective personality domain, clear state‐trait distinction was not found in this cognitive domain. In both measures, students who engaged more frequently in metacognitive activities and effort use in their mathematical problem solving performed better than those who did not.