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Sprache: Englisch
Verlag: Information Age Publishing, 2012
ISBN 10: 1617358894 ISBN 13: 9781617358890
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Zustand: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
Sprache: Englisch
Verlag: Information Age Publishing, 2012
ISBN 10: 1617358894 ISBN 13: 9781617358890
Anbieter: Scissortail, Oklahoma City, OK, USA
Zustand: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
Sprache: Englisch
Verlag: Information Age Publishing, 2019
ISBN 10: 1641135611 ISBN 13: 9781641135610
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Sprache: Englisch
Verlag: Emerald Publishing Inc, US, 2019
ISBN 10: 1641135611 ISBN 13: 9781641135610
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Paperback. Zustand: New. What is latent class analysis? If you asked that question thirty or forty years ago you would have gotten a different answer than you would today. Closer to its time of inception, latent class analysis was viewed primarily as a categorical data analysis technique, often framed as a factor analysis model where both the measured variable indicators and underlying latent variables are categorical. Today, however, it rests within much broader mixture and diagnostic modeling framework, integrating measured and latent variables that may be categorical and/or continuous, and where latent classes serve to define the subpopulations for whom many aspects of the focal measured and latent variable model may differ.For latent class analysis to take these developmental leaps required contributions that were methodological, certainly, as well as didactic. Among the leaders on both fronts was C. Mitchell "Chan" Dayton, at the University of Maryland, whose work in latent class analysis spanning several decades helped the method to expand and reach its current potential. The current volume in the Center for Integrated Latent Variable Research (CILVR) series reflects the diversity that is latent class analysis today, celebrating work related to, made possible by, and inspired by Chan's noted contributions, and signaling the even more exciting future yet to come.
Sprache: Englisch
Verlag: Information Age Publishing, 2015
ISBN 10: 1681233274 ISBN 13: 9781681233277
Anbieter: SN Books Ltd, Thetford, Vereinigtes Königreich
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Sprache: Englisch
Verlag: Emerald Publishing Limited, 2019
ISBN 10: 1641135611 ISBN 13: 9781641135610
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Sprache: Englisch
Verlag: Information Age Publishing, 2015
ISBN 10: 1681233274 ISBN 13: 9781681233277
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Sprache: Englisch
Verlag: Emerald Publishing Inc, US, 2015
ISBN 10: 1681233274 ISBN 13: 9781681233277
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Paperback. Zustand: New. The significance that practitioners are placing on the use of multilevel models is undeniable as researchers want to both accurately partition variance stemming from complex sampling designs and understand relations within and between variables describing the hierarchical levels of these nested data structures. Simply scan the applied literature and one can see evidence of this trend by noticing the number of articles adopting multilevel models as their primary modeling framework. Helping to drive the popularity of their use, governmental funding agencies continue to advocate the use of multilevel models as part of a comprehensive analytic strategy for conducting rigorous and relevant research to improve our nation's education system.Advances in Multilevel Modeling for Educational Research: Addressing Practical Issues Found in Real-World Applications is a resource intended for advanced graduate students, faculty and/or researchers interested in multilevel data analysis, especially in education, social and behavioral sciences. The chapters are written by prominent methodological researchers across diverse research domains such as educational statistics, quantitative psychology, and psychometrics. Each chapter exposes the reader to some of the latest methodological innovations, refinements and state-of-the-art developments and perspectives in the analysis of multilevel data including current best practices of standard techniques.We believe this volume will be particularly appealing to researchers in domains including but not limited to: educational policy and administration, educational psychology including school psychology and special education, and clinical psychology. In fact, we believe this volume will be a desirable resource for any research area that uses hierarchically nested data. The book will likely be attractive to applied and methodological researchers in several professional organizations such as the American Educational Research Association (AERA), the American Psychological Association (APA), the American Psychological Society (APS), the Society for Research on Educational Effectiveness (SREE), and other related organizations.
Sprache: Englisch
Verlag: Information Age Publishing, 2019
ISBN 10: 1641135611 ISBN 13: 9781641135610
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Sprache: Englisch
Verlag: Emerald Publishing Inc, US, 2019
ISBN 10: 1641135611 ISBN 13: 9781641135610
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In den WarenkorbPaperback. Zustand: New. What is latent class analysis? If you asked that question thirty or forty years ago you would have gotten a different answer than you would today. Closer to its time of inception, latent class analysis was viewed primarily as a categorical data analysis technique, often framed as a factor analysis model where both the measured variable indicators and underlying latent variables are categorical. Today, however, it rests within much broader mixture and diagnostic modeling framework, integrating measured and latent variables that may be categorical and/or continuous, and where latent classes serve to define the subpopulations for whom many aspects of the focal measured and latent variable model may differ.For latent class analysis to take these developmental leaps required contributions that were methodological, certainly, as well as didactic. Among the leaders on both fronts was C. Mitchell "Chan" Dayton, at the University of Maryland, whose work in latent class analysis spanning several decades helped the method to expand and reach its current potential. The current volume in the Center for Integrated Latent Variable Research (CILVR) series reflects the diversity that is latent class analysis today, celebrating work related to, made possible by, and inspired by Chan's noted contributions, and signaling the even more exciting future yet to come.
Sprache: Englisch
Verlag: Information Age Publishing, 2019
ISBN 10: 1641135611 ISBN 13: 9781641135610
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Sprache: Englisch
Verlag: Information Age Publishing, 2015
ISBN 10: 1681233274 ISBN 13: 9781681233277
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Sprache: Englisch
Verlag: Information Age Publishing, 2012
ISBN 10: 1617358894 ISBN 13: 9781617358890
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Verlag: Information Age Publishing, 2012
ISBN 10: 1617358894 ISBN 13: 9781617358890
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In den WarenkorbZustand: New. pp. 354 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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ISBN 10: 1641135611 ISBN 13: 9781641135610
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