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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...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Lott, Joe L.
Autres auteurs: Antony, James Soto
Format: Électronique eBook
Langue:Inglés
Publié: Hoboken : John Wiley & Sons, 2012.
Collection:J-B IR Single Issue Institutional Research.
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Accès en ligne:Texto completo
Table des matières:
  • 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.