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Record Nr. |
UNINA9910808094503321 |
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Titolo |
Multilevel modeling techniques and applications in institutional research / / Joe L. Lott, II, James S. Antony, editors |
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Pubbl/distr/stampa |
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San Francisco, : Jossey-Bass, 2012 |
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ISBN |
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1-118-45734-X |
1-280-79294-9 |
9786613703330 |
1-118-45733-1 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (144 p.) |
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Collana |
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New directions for institutional research, , 0271-0579 ; ; no. 154, summer 2012 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Social sciences - Mathematical models |
Social sciences - Research - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Multilevel Modeling Techniques and Applications in Institutional Research; Contents; Editors' Notes; 1: Hierarchical Data Structures, Institutional Research, and Multilevel Modeling; 2: Introduction to Estimation Issues in Multilevel Modeling; 3: Using Existing Data Sources/Programs and Multilevel Modeling Techniques for Questions in Institutional Research; 4: Multilevel Models for Binary Data; 5: Cross-Classified Random Effects Models in Institutional Research; 6: Multilevel Modeling: Applications to Research on the Assessment of Student Learning, Engagement, and Developmental Outcomes |
7: Multilevel Modeling: Presenting and Publishing the Results for Internal and External Constituents INDEX |
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Sommario/riassunto |
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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 |
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