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Title: Growth Modeling of Mathematics Achievement using Ordinary and Weighted Least Squares Methods Part 1: Descriptive Analysis
Resulting in 1 citation.
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Kam, Chi-Ming Sayer, Aline G. |
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Growth Modeling of Mathematics Achievement using Ordinary and Weighted Least Squares Methods Part 1: Descriptive Analysis Technical Report 97-24. University Park, PA: The Methodology Center, The Pennsylvania State University, 1997 Cohort(s): Children of the NLSY79 Publisher: Methodology Center, The Pennsylvania State University Keyword(s): Data Analysis; Methods/Methodology; Modeling, Growth Curve/Latent Trajectory Analysis; Peabody Individual Achievement Test (PIAT- Math); Test Scores/Test theory/IRT Permission to reprint the abstract has not been received from the publisher. From this brief review, it seems clear that school achievement may influence whether children develop tendencies to use drugs. The underlying mechanism of influence, however, is still not known. Most studies have focused on achievement status, i.e., the level of achievement the child has at a single point in time. Few studies have examined whether growth in achievement (learning rates) predicts drug use. We propose to examine this factor to see if persistence in achievement is more predictive than status at any given time. |
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Bibliography Citation
Kam, Chi-Ming and Aline G. Sayer. "Growth Modeling of Mathematics Achievement using Ordinary and Weighted Least Squares Methods Part 1: Descriptive Analysis." Technical Report 97-24. University Park, PA: The Methodology Center, The Pennsylvania State University, 1997. |