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Author Stevens, Joseph J., active 2018, author

Title Using multilevel, longitudinal models to study academic achievement growth for specific student subgroups / Joseph J. Stevens, Ann C. Schulte
Published London : SAGE Publications Ltd, 2018
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Sage Research Methods Cases    View Resource Record  

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Description 1 online resource
Series SAGE Research Methods. Cases
SAGE Research Methods. Cases
Summary This case study describes some of the authors' experiences and issues that arose in conducting a research study on the academic growth in mathematics of students from Grades 3 to 7 on a state-wide test. The study focused on the growth trajectories of students in several special education exceptionality categories with an emphasis on objectively describing the size of achievement gaps between student subgroups. In our case study, we describe five components of our experiences: (a) deciding on a study design, (b) getting and preparing large-scale datasets, (c) issues in the use of longitudinal designs, (d) analytic and modeling decisions, and (e) presentation and dissemination of study results. We explain our reasoning in using extant data and how we dealt with some of the practical and methodological issues that arose in assembling and working with a large dataset. We outline some of the factors that led us to choose a hierarchical linear statistical model as the best analytic approach and illustrate how questions that arose in making methodological choices for this study led to additional research studies and papers. The issues we faced and our reasoning in making decisions illustrate a number of general issues in the design and analysis of longitudinal studies
Bibliography Includes bibliographical references and index
Notes Description based on XML content
Subject Children with mental disabilities -- Education -- Research.
Longitudinal method.
Mathematical ability -- Testing.
Student growth (Academic achievement)
Form Electronic book
Author Schulte, Ann C., 1955- author
ISBN 1526441489
9781526441485 (ebook)