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Longitudinal Analyses of Academic Achievement
Author(s) -
Williamson Gary L.,
Appelbaum Mark,
Epanchin Alex
Publication year - 1991
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1991.tb00344.x
Subject(s) - longitudinal data , simple (philosophy) , academic achievement , mathematics education , statistical analysis , longitudinal study , computer science , psychology , econometrics , mathematics , statistics , data mining , epistemology , philosophy
Mathematical models of individual growth are the basis for analyzing academic achievement over time. This study demonstrates that much can be learned about academic growth from the analysis of individual growth curves. In addition, we illustrate the aggregation of individual responses to provide descriptions of institutional growth. Although more efficient statistical methods are available, the simple approach taken here serves to demonstrate the logic and approach to analyzing longitudinal data.