Assessing Longitudinal Change: Adjustment for Regression to the Mean Effects |
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Authors: | Louis M Rocconi and Corinna A Ethington |
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Institution: | (1) College of Education, The University of Memphis, CEPR, 100 Ball Hall, Memphis, TN 38152-3570, USA |
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Abstract: | Pascarella (J Coll Stud Dev 47:508–520, 2006) has called for an increase in use of longitudinal data with pretest-posttest
design when studying effects on college students. However, such designs that use multiple measures to document change are
vulnerable to an important threat to internal validity, regression to the mean. Herein, we discuss a brief history of regression
to the mean and illustrate a straightforward procedure to make adjustments to initial pretest scores for regression to the
mean effects utilizing a method developed by Roberts (in: G. Echternacht (Guest ed.) New directions for testing and measurement,
1980). Analyses are shown with both unadjusted and adjusted pretest scores, illustrating dramatic differences in conclusions
about whether students change across time.
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Keywords: | Regression to the mean Pre-test/post-test design Methodology Longitudinal data College students Change |
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