1991
DOI: 10.1111/j.1745-3984.1991.tb00344.x
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Longitudinal Analyses of Academic Achievement

Abstract: 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.

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Cited by 79 publications
(62 citation statements)
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“…This procedure sets at least two requirements for the measurement of both skills: first, the measurements should be identical across the measurement points, and second, there should be no floor or ceiling effects at any of the measurement points as values of skewness and kurtosis in Table 1 show Williamson et al 1991). These requirements ought to be met in the case of slowly developing academic skills, such as MCK and text comprehension skill.…”
Section: Measures and Proceduresmentioning
confidence: 97%
“…This procedure sets at least two requirements for the measurement of both skills: first, the measurements should be identical across the measurement points, and second, there should be no floor or ceiling effects at any of the measurement points as values of skewness and kurtosis in Table 1 show Williamson et al 1991). These requirements ought to be met in the case of slowly developing academic skills, such as MCK and text comprehension skill.…”
Section: Measures and Proceduresmentioning
confidence: 97%
“…There are two reasons for the choice of these particular subjects. First, learning to read and learning mathematics are particularly challenging for school beginners and can have significant consequences for their later school career (Landerl & Wimmer, 2008;Williamson, Appelbaum, & Epanchin, 1991). Second, children's motivation often varies across different subjects.…”
Section: Interest In Academic Subjectsmentioning
confidence: 99%
“…Studying change or growth in a single variable when the variable measured is not really 'the same' at the different ages poses difficulties (Bergman, Eklund, & Magnusson, 1991 (Williamson, Appelbaum, & Epanchin, 1991) That is, the scores [obtained at different grades to measure gain] need to share a common metric despite the fact that students in different grades are administered different assessment tasks (Linn, 2001). …”
Section: Irt Vertical Scaling Assumption and Literaturementioning
confidence: 99%