| Description |
1 online resource (132 pages) : illustrations, charts |
| Series |
New directions for institutional research, 0271-0579 ; no. 154 |
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New directions for institutional research ; no. 154. 0271-0579
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| Contents |
Hierarchical data structures, institutional research, and multilevel modeling / Ann A. O'Connell, Sandra J. Reed -- Introduction to estimation issues in multilevel modeling / D. Betsy McCoach, Anne C. Black -- Using existing data sources/programs and multilevel modeling techniques for questions in institutional research / Joe P. King, José M. Hernandez, Joe L. Lott, II -- Multilevel models for binary data / Daniel A. Powers -- Cross-classified random effects models in institutional research / Laura E. Meyers -- Multilevel modeling: applications to research on the assessment of student learning, engagement, and developmental outcomes / Pu-Shih Daniel Chen, Kristina Cragg -- Multilevel modeling: presenting and publishing the results for internal and external constituents / Gary R. Pike, Louis M. Rocconi |
| Summary |
Annotation Multilevel modeling is an increasingly popular multivariate technique that is widely applied in the social sciences. Increasingly, practitioners are making instructional decisions based on results from their multivariate analyses, which often come from nested data that lend themselves to multilevel modeling techniques. As data-driven decision making becomes more critical to colleges and universities, multilevel modeling is a tool that will lead to more efficient estimates and enhance understanding of complex relationships. This volume illustrates both the theoretical underpinnings and practical applications of multilevel modeling in IR. It introduces the fundamental concepts of multilevel modeling techniques in a conceptual and technical manner. Providing a range of examples of nested models that are based on linear and categorical outcomes, it then offers important suggestions about presenting results of multilevel models through charts and graphs. This is the 154th volume of this Jossey-Bass quarterly report series. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management |
| Notes |
"Summer 2012." |
| Bibliography |
Includes bibliographical references |
| Subject |
Education, Higher -- Research -- Statistical methods.
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Multilevel models (Statistics)
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Multivariate analysis.
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Social sciences -- Research -- Mathematical models.
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Sociology -- Research -- Mathematical models.
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| Form |
Electronic book
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| Author |
Antony, James Soto.
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Lott, Joe L.
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| ISBN |
1118457331 (electronic bk.) |
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111845734X (electronic bk.) |
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9781118457337 (electronic bk.) |
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9781118457344 (electronic bk.) |
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