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Appendix B: Trajectory Analysis of Matched Percentiles
Pages 113-118

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From page 113...
... The 1988 paper by Braun is quite clear and does an excellent job of describing the underlying graphical tool. TAMP graphs are a simple tool for comparing change (or growth from crosssectional data.
From page 114...
... The TAMP methodology does not provide a definitive analysis of data, but it is a useful exploratory and descriptive tool. A TAMP graph for comparing N populations on two tests is a line graph win 1~- lines on it.
From page 115...
... with initial test score dis~ibunon given by: Initial Marginal Dis~ibuiions (at time O) Population Between O and 9.99 Between 10 and 20 Fo 1~000/1 1~000 10~000/1 1?
From page 116...
... In other words, 15 percent of population F low scorers unproved to the high scoring category on the final test while only 10 percent of population G low scorers showed a similar improvement. In fact, for every starting score, population F students raised their scores more than did population G students.
From page 117...
... Nearly all students in population G score poorly on the first test, while most of those in population ~ score very well on the first test- exactly He situation that would warn of a difficulty in interpreting the TAMP analysis. In summary, although TAMP provides a useful exploratory tool, users should be cautious about drawing strong conclusions.
From page 118...
... (199lb) Final report: Longitudinal study of structured-english immersion strategy, early-exit and late-exit transitional bilingual education programs for language-minority children, Volume II.


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