"ERIC ED467836: A Study Of Individual Patterns Of Longitudinal Academic Change: Exploring The Structural Equation Modeling (SEM) And Hierarchical Linear Modeling (HLM)." - Information and Links:

ERIC ED467836: A Study Of Individual Patterns Of Longitudinal Academic Change: Exploring The Structural Equation Modeling (SEM) And Hierarchical Linear Modeling (HLM). - Info and Reading Options

"ERIC ED467836: A Study Of Individual Patterns Of Longitudinal Academic Change: Exploring The Structural Equation Modeling (SEM) And Hierarchical Linear Modeling (HLM)." and the language of the book is English.


“ERIC ED467836: A Study Of Individual Patterns Of Longitudinal Academic Change: Exploring The Structural Equation Modeling (SEM) And Hierarchical Linear Modeling (HLM).” Metadata:

  • Title: ➤  ERIC ED467836: A Study Of Individual Patterns Of Longitudinal Academic Change: Exploring The Structural Equation Modeling (SEM) And Hierarchical Linear Modeling (HLM).
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  • Language: English

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  • Internet Archive ID: ERIC_ED467836

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"ERIC ED467836: A Study Of Individual Patterns Of Longitudinal Academic Change: Exploring The Structural Equation Modeling (SEM) And Hierarchical Linear Modeling (HLM)." Description:

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This study used structural equation modeling and multilevel modeling approaches for purposes of simultaneous study of individual and group change patterns on three waves of two longitudinally assessed domains. This study illustrates a few of the dual approaches to the analysis of covariance structures as they relate to the same individual growth model and the same data. LISREL (structural equation modeling) and hierarchical linear modeling (HLM) were used. The investigation studied whether individual change over time in mathematics and language differs from student to student and whether the individual growth parameters of each of the two domains were related within domain. The study used panel data from the Louisiana State Department of Education for 3 waves of students tested in grades 4, 6, and 7: (1) 50,907; (2) 47,003; and (3) 50,157. Assessments from the states testing program were administered in each of the three grades. Complete records for all 3 grades were available for 26,051 students, 11,627 of whom were African American. The study sheds light on the understanding of learners from the two ethnic groups and shows how they develop mastery in mathematics and language as they progress through school. The application of covariance structure analysis and growth curves to the study of growth in student academic achievement provides an avenue for an in-depth analysis of two academic areas in an available data set. The statistical techniques used in this research, LISREL and HLM methods, have a number of extensions that can be used in various research environments because they can accommodate any number of data points (waves) of longitudinal data. Four appendixes contain descriptive statistics from the study. (Contains 2 figures, 3 tables, and 50 references.) (SLD)

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