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Multilevel Modeling Techniques and Applications in Institutional Research : New Directions in Institutional Research, No. 154.
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
John Wiley & Sons,
2012.
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| Colección: | J-B IR Single Issue Institutional Research.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Lott, Joe L. | |
| 245 | 1 | 0 | |a Multilevel Modeling Techniques and Applications in Institutional Research : |b New Directions in Institutional Research, No. 154. |
| 260 | |a Hoboken : |b John Wiley & Sons, |c 2012. | ||
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| 490 | 1 | |a J-B IR Single Issue Institutional Research ; |v v. 135 | |
| 505 | 0 | |a 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. | |
| 500 | |a 7: Multilevel Modeling: Presenting and Publishing the Results for Internal and External ConstituentsINDEX. | ||
| 520 | |a 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. | ||
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