Advances in multilevel modeling for educational research: addressing practical issues found in real-world applications
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Charlotte, NC
IAP, Information Age Publishing, Inc.
2016
|
| Schriftenreihe: | CILVR series on latent variable methodology
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xv, 396 Seiten Diagramme |
| ISBN: | 9781681233277 9781681233284 |
Internformat
MARC
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| 245 | 1 | 0 | |a Advances in multilevel modeling for educational research |b addressing practical issues found in real-world applications |c edited by Jeffrey R. Harring (University of Maryland, College Park), Laura M. Stapleton (University of Maryland, College Park), S. Natasha Beretvas (University of Texas at Austin) |
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Datensatz im Suchindex
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CONTENTS Foreword.vii Sophia Rabe-Hesketh Preface. 11 Jeffrey R. Harring, Laura M. Stapleton, and S. Natasha Beretvas Acknowledgments. xv PART I METHODOLOGICAL ISSUES IN MULTILEVEL MODELS 1 The Discrepancy Between Measurement and Modeling in Longitudinal Data Analysis. 3 DanielJ. Bauer and Patrick J. Curran 2 Incomplete Multilevel Data: Problems and Solutions.39 Joop Hox, Stejvan Buuren, and Shahab Jolani 3 Sampling Weight Considerations for Multilevel Modeling of Panel Data. 63 Laura M. Stapleton, Jeffrey R. Harring, and Daniel Y. Lee 4 Residual Diagnostics and Model Assessment in a Multilevel Framework: Recommendations Toward Best Practice.97 Ann A. O’Connell, Gloria Yeomans-Maldonado, and D. Betsy McCoach v
vi ■ Contents PART II HANDLING LONGITUDINAL DATA COMPLEXITIES: CROSS-CLASSIFIED AND RANDOM EFFECTS LATENT VARIABLE MODELS 5 Multilevel Cross-Classified Testlet Model for Complex Item and Person Clustering in Item Response Data Analysis.139 HongJiao, Akihito Kamata, and ChaoXie 6 General Random Effect Latent Variable Modeling: Random Subjects, Items, Contexts, and Parameters. 163 Tihomir Asparouhov and Bengt Muthén 7 N-Level Structural Equation Model of Student Achievement Data Nested with Repeated Teachers, Schools, and Districts.193 Paras D. Mehta and Yaacov Petscher 8 A Model for Cross-Classified Nested Repeated Measures Data.229 Jeffrey R. Harring, S. Natasha Beretvas, and Anita brani 9 Cross-classified Random Effects Models for Assessing Rater Severity and Differential Rater Functioning.261 S. Natasha Beretvas, Daniel L. Murphy, and Matthew N. Gaertner PART III CAUSAL INFERENCE AND ADVANCED PSYCHOMETRIC MODELS 10 Handling Measurement Error in Predictors Using a Multilevel Latent Variable Plausible Values Approach.295 Ji Seung Yang and Michael Seltzer 11 Mixture Modeling Methods for Causal Inference with Multilevel Data. 335 Jee-Seon Kim, Peter M. Steiner, and Wen-Chiang Lim 12 Multilevel Social Network Models: Incorporating NetworkLevel Covariates into Hierarchical Latent Space Models.361 Tracy Sweet and Qiwen Zheng About the Contributors, 391 |
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| author2 | Harring, Jeffrey 1964- Stapleton, Laura M. Beretvas, Susan Natasha |
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| dewey-full | 370.72 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 370 - Education |
| dewey-raw | 370.72 |
| dewey-search | 370.72 |
| dewey-sort | 3370.72 |
| dewey-tens | 370 - Education |
| discipline | Pädagogik Soziologie |
| format | Book |
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| indexdate | 2025-01-31T19:04:09Z |
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| isbn | 9781681233277 9781681233284 |
| language | English |
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| publishDate | 2016 |
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| publisher | IAP, Information Age Publishing, Inc. |
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| series2 | CILVR series on latent variable methodology |
| spelling | Advances in multilevel modeling for educational research addressing practical issues found in real-world applications edited by Jeffrey R. Harring (University of Maryland, College Park), Laura M. Stapleton (University of Maryland, College Park), S. Natasha Beretvas (University of Texas at Austin) Charlotte, NC IAP, Information Age Publishing, Inc. 2016 © 2016 xv, 396 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier CILVR series on latent variable methodology Education Research Methodology Education Data processing Educational indicators Multiscale modeling Multivariate analysis Forschung (DE-588)4017894-8 gnd rswk-swf Pädagogik (DE-588)4044302-4 gnd rswk-swf Kontextanalyse (DE-588)4129240-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Pädagogik (DE-588)4044302-4 s Forschung (DE-588)4017894-8 s Statistik (DE-588)4056995-0 s Kontextanalyse (DE-588)4129240-6 s DE-604 Harring, Jeffrey 1964- (DE-588)1013682122 edt Stapleton, Laura M. (DE-588)115147083X edt Beretvas, Susan Natasha (DE-588)1151471631 edt Erscheint auch als Advances in multilevel modeling for educational research Online-Ausgabe 978-1-68123-329-1 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030021169&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Advances in multilevel modeling for educational research addressing practical issues found in real-world applications Education Research Methodology Education Data processing Educational indicators Multiscale modeling Multivariate analysis Forschung (DE-588)4017894-8 gnd Pädagogik (DE-588)4044302-4 gnd Kontextanalyse (DE-588)4129240-6 gnd Statistik (DE-588)4056995-0 gnd |
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| title | Advances in multilevel modeling for educational research addressing practical issues found in real-world applications |
| title_auth | Advances in multilevel modeling for educational research addressing practical issues found in real-world applications |
| title_exact_search | Advances in multilevel modeling for educational research addressing practical issues found in real-world applications |
| title_full | Advances in multilevel modeling for educational research addressing practical issues found in real-world applications edited by Jeffrey R. Harring (University of Maryland, College Park), Laura M. Stapleton (University of Maryland, College Park), S. Natasha Beretvas (University of Texas at Austin) |
| title_fullStr | Advances in multilevel modeling for educational research addressing practical issues found in real-world applications edited by Jeffrey R. Harring (University of Maryland, College Park), Laura M. Stapleton (University of Maryland, College Park), S. Natasha Beretvas (University of Texas at Austin) |
| title_full_unstemmed | Advances in multilevel modeling for educational research addressing practical issues found in real-world applications edited by Jeffrey R. Harring (University of Maryland, College Park), Laura M. Stapleton (University of Maryland, College Park), S. Natasha Beretvas (University of Texas at Austin) |
| title_short | Advances in multilevel modeling for educational research |
| title_sort | advances in multilevel modeling for educational research addressing practical issues found in real world applications |
| title_sub | addressing practical issues found in real-world applications |
| topic | Education Research Methodology Education Data processing Educational indicators Multiscale modeling Multivariate analysis Forschung (DE-588)4017894-8 gnd Pädagogik (DE-588)4044302-4 gnd Kontextanalyse (DE-588)4129240-6 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Education Research Methodology Education Data processing Educational indicators Multiscale modeling Multivariate analysis Forschung Pädagogik Kontextanalyse Statistik Aufsatzsammlung |
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