multilevel modeling of educational data quantitative methods in education and the behavioral sciences issues research and teaching

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Multilevel Modeling Of Educational Data

Author : Ann A. O'Connell
ISBN : 9781607527299
Genre : Education
File Size : 74. 84 MB
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(sponsored by the Educational Statisticians, SIG) Multilevel Modeling of Educational Data, coedited by Ann A. O’Connell, Ed.D., and D. Betsy McCoach, Ph.D., is the next volume in the series: Quantitative Methods in Education and the Behavioral Sciences: Issues, Research and Teaching (Information Age Publishing), sponsored by the Educational Statisticians' Special Interest Group (EdStat SIG) of the American Educational Research Association. The use of multilevel analyses to examine effects of groups or contexts on individual outcomes has burgeoned over the past few decades. Multilevel modeling techniques allow educational researchers to more appropriately model data that occur within multiple hierarchies (i.e. the classroom, the school, and/or the district). Examples of multilevel research problems involving schools include establishing trajectories of academic achievement for children within diverse classrooms or schools or studying schoollevel characteristics on the incidence of bullying. Multilevel models provide an improvement over traditional singlelevel approaches to working with clustered or hierarchical data; however, multilevel data present complex and interesting methodological challenges for the applied education research community. In keeping with the pedagogical focus for this book series, the papers this volume emphasize applications of multilevel models using educational data, with chapter topics ranging from basic to advanced. This book represents a comprehensive and instructional resource text on multilevel modeling for quantitative researchers who plan to use multilevel techniques in their work, as well as for professors and students of quantitative methods courses focusing on multilevel analysis. Through the contributions of experienced researchers and teachers of multilevel modeling, this volume provides an accessible and practical treatment of methods appropriate for use in a first and/or second course in multilevel analysis. A supporting website links chapter examples to actual data, creating an opportunity for readers to reinforce their knowledge through handson data analysis. This book serves as a guide for designing multilevel studies and applying multilevel modeling techniques in educational and behavioral research, thus contributing to a better understanding of and solution for the challenges posed by multilevel systems and data.

Advances In Multilevel Modeling For Educational Research

Author : Jeffrey R. Harring
ISBN : 9781681233291
Genre : Education
File Size : 77. 64 MB
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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.

Challenges And Innovations In Educational Psychology Teaching And Learning

Author : M Cecil Smith
ISBN : 9781681233987
Genre : Education
File Size : 30. 78 MB
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Leading faculty members in educational psychology, who are expert classroom teachers, describe inherent difficulties encountered when teaching different subject matter in educational psychology to diverse populations of students, including undergraduate teacher candidates, psychology and child development majors, and graduate students in education and psychology. Educational psychology addresses subject matter as diverse as child and adolescent development, motivation, learning theories, student assessment, teacher expertise, and research methods and statistics. Drawing from their years of classroom experience, as well as their expertise in designing and conducting educational research, the contributing authors report their successful instructional efforts and innovations designed to increase student learning and knowledge of the discipline.

Real Data Analysis

Author : Shlomo S. Sawilowsky
ISBN : 9781607525783
Genre : Education
File Size : 39. 91 MB
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The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide (d) ad hoc reviews for 362 journals. Their enormous footprint on real data analysis is showcased for professors, researchers, educators, administrators, and graduate students in the second text in the AERA/SIG ES Quantitative Methods series.

Handbook Of Research On Adult Learning And Development

Author : M Cecil Smith
ISBN : 9781135597405
Genre : Education
File Size : 45. 70 MB
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The time is right for this comprehensive, state-of-the-art Handbook that analyzes, integrates, and summarizes theoretical advances and research findings on adult development and learning - a rapidly growing field reflecting demographic shifts toward an aging population in Western societies. Featuring contributions from prominent scholars across diverse disciplinary fields (education, developmental psychology, public policy, gerontology, neurology, public health, sociology, family studies, and adult education), the volume is organized around six themes: theoretical perspectives on adult development and learning research methods in adult development research on adult development research on adult learning aging and gerontological research policy perspectives on aging. The Handbook is an essential reference for researchers, faculty, graduate students and practitioners whose work pertains to adult and lifespan development and learning.

Structural Equation Modeling

Author : Gregory R. Hancock
ISBN : 9781623962463
Genre : Education
File Size : 26. 33 MB
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Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians This volume is the second edition of Hancock and Mueller’s highlysuccessful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didacticallyoriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.

Multilevel Analysis Of Educational Data

Author : R. Darrell Bock
ISBN : 9781483295602
Genre : Education
File Size : 35. 35 MB
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Multilevel Analysis of Educational Data Bayesian methods Empirical Bayes Generalized least squares Profile likelihoods E-M algorithm Fisher scoring procedures Both educational and social science applications

An Introduction To Multilevel Modeling Techniques

Author : Ronald H. Heck
ISBN : 9781135678319
Genre : Computers
File Size : 88. 80 MB
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This book provides a broad overview of basic multilevel modeling issues and illustrates techniques building analyses around several organizational data sets. Although the focus is primarily on educational and organizational settings, the examples will help the reader discover other applications for these techniques. Two basic classes of multilevel models are developed: multilevel regression models and multilevel models for covariance structures--are used to develop the rationale behind these models and provide an introduction to the design and analysis of research studies using two multilevel analytic techniques--hierarchical linear modeling and structural equation modeling.

Handbook Of Ethics In Quantitative Methodology

Author : Sonya K. Sterba
ISBN : 9781136888731
Genre : BUSINESS & ECONOMICS
File Size : 33. 78 MB
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"Part 1 presents ethical frameworks that cross-cut design, analysis, and modeling in the behavioral sciences. Part 2 focuses on ideas for disseminating ethical training in statistics courses. Part 3 considers the ethical aspects of selecting measurement instruments and sample size planning and explores issues related to high stakes testing, the defensibility of experimental vs. quasi-experimental research designs, and ethics in program evaluation. Decision points that shape a researchers' approach to data analysis are examined in Part 4 - when and why analysts need to account for how the sample was selected, how to evaluate tradeoffs of hypothesis-testing vs. estimation, and how to handle missing data. Ethical issues that arise when using techniques such as factor analysis or multilevel modeling and when making causal inferences are also explored. The book concludes with ethical aspects of reporting meta-analyses, of cross-disciplinary statistical reform, and of the publication process.

The Reviewer S Guide To Quantitative Methods In The Social Sciences

Author : Gregory R. Hancock
ISBN : 9781135172992
Genre : Education
File Size : 48. 28 MB
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The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

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