hierarchical linear modeling guide and applications

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Hierarchical Linear Modeling

Author : G. David Garson
ISBN : 9781412998857
Genre : Computers
File Size : 66. 50 MB
Format : PDF, Docs
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This book provides a brief, easy-to-read guide to implementing hierarchical linear modelling using the three leading software platforms, followed by a set of application articles based on recent work published in leading journals and as part of doctoral dissertations. The "guide" portion consists of three chapters by the editor, covering basic to intermediate use of SPSS, SAS, and HLM for purposes for hierarchical linear modelling, while the "applications" portion consists of a dozen contributions in which the authors emphasize how-to and methodological aspects and show how they have used these techniques in practice.

Methoden Psychologischer Forschung Und Evaluation

Author : Rainer Westermann
ISBN : 9783170241848
Genre : Psychology
File Size : 58. 59 MB
Format : PDF
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Für Studium und Weiterbildung werden institutionelle Rahmenbedingungen, wissenschaftstheoretische Grundlagen, methodische Gütekriterien und praktische Verfahren für empirische Untersuchungen psychologischer, evaluativer und verwandter Probleme dargestellt. Im Mittelpunkt steht die Validität und damit die Güte und Qualität von Untersuchungen wissenschaftlicher und praktischer Fragestellungen. Diese umfasst vor allem die Adäquatheit von Begriffen, deduktiven und induktiven Argumenten, kausalen Aussagen, Gesetzeshypothesen und Theorien, die Kontrolle störender Einflüsse bei Beobachtungen, Befragungen, Einschätzungen (ratings), Messungen, Tests, Experimenten, Quasi-Experimenten, Fall-Kontroll- und Einzelgruppenstudien sowie die sachgerechte Anwendung und Interpretation von statistischen Zusammenhängen und Tests, Varianz-, Regressions- und Meta-Analysen, festen, zufälligen und hierarchisierten Faktoren. Ziel ist ein tiefergehendes Verständnis wesentlicher Qualitätsmerkmale empirischer Untersuchungen, um fundiert Methoden einsetzen und Ergebnisse interpretieren zu können.

Hierarchical Linear Models Applications And Data Analysis Methods

Author : CTI Reviews
ISBN : 9781490250113
Genre : Education
File Size : 52. 39 MB
Format : PDF, ePub
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Facts101 is your complete guide to Hierarchical Linear Models, Applications and Data Analysis Methods. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Research Methods For Environmental Psychology

Author : Robert Gifford
ISBN : 9781118795385
Genre : Psychology
File Size : 83. 9 MB
Format : PDF
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Introduction: environmental psychology and its methods / Robert Gifford -- Observational methods : the first step in science / Reuven Sussman -- Behavioral mapping and tracking / Cheuk Fan Ng -- Research designs for environmental issues / Wokje Abrahamse, P. Wesley Schultz and Linda Steg -- Agree to disagree : a practical guide to conducting survey research in environmental psychology / Donald W. Hine, Christine Kormos, and Anthony D. G. Marks -- Who cares? : measuring environmental attitudes / Amanda McIntyre and Taciano L. Milfont -- Qualitative approaches to environment-behavior research : understanding environmental and place experiences, meanings, and actions / David Seamon and Harneet K. Gill -- Revealing the conceptual systems of places / David Canter -- Behavioral methods for spatial cognition research / Daniel R. Montello -- Microworlds: using computers to understand peoples' choices about the use of natural resources / Angel Chen and Paul A. Bell -- Simulating designed environments / Arthur E Stamps III -- Planning the built environment : programming / Jay Farbstein, Richard E. Wener and Lindsay J. McCunn -- Did that plan work? : post-occupancy evaluation / Richard E. Wener, Lindsay J. McCunn and Jennifer Senick -- Action research: enhancing application / Valeria Cort's and Robert Sommer -- Research designs for measuring the effectiveness of interventions / Wokje Abrahamse -- Applying behavioral science for environmental sustainability / E. Scott Geller, Wokje Abrahamse, Branda Guan and Reuven Sussman -- Improving human functioning : ecotherapy and environmental health approaches / Thomas Doherty and Angel Chen -- Research and design for special populations / John Zeisel, Robert Gifford, Mark Martin, and Lindsay J. McCunn -- Advanced statistics for environment-behavior research : multilevel modeling and structural equation modeling / Donald W. Hine, Victor Corral-Verdugo, Navjot Bhullar and Martha Frias-Armenta -- Meta-analysis : an analysis of analyses / Christine Kormos

Hierarchical Linear Models

Author : Stephen W. Raudenbush
ISBN : 076191904X
Genre : Mathematics
File Size : 67. 54 MB
Format : PDF, Kindle
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Popular in its first edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), the book has been updated to include: an intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication; a new section on multivariate growth models; a discussion of research synthesis or meta-analysis applications; aata analytic advice on centering of level-1 predictors, and new material on plausible value intervals and robust standard estimators.

The Reviewer S Guide To Quantitative Methods In The Social Sciences

Author : Gregory R. Hancock
ISBN : 9781135172992
Genre : Education
File Size : 53. 84 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.

Hlm 6

Author : Stephen W. Raudenbush
ISBN : 0894980548
Genre : Datenanalyse
File Size : 48. 31 MB
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Multilevel Modeling Of Educational Data

Author : Ann A. O'Connell
ISBN : 9781607527299
Genre : Education
File Size : 26. 56 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.

The Chicago Guide To Writing About Multivariate Analysis Second Edition

Author : Jane E. Miller
ISBN : 9780226038193
Genre : Reference
File Size : 41. 4 MB
Format : PDF, ePub, Mobi
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Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.

Genetic Counseling Research A Practical Guide

Author : Ian MacFarlane
ISBN : 9780199359110
Genre : Medical
File Size : 38. 33 MB
Format : PDF, Kindle
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Genetic Counseling Research: A Practical Guide is the first text devoted to research methodology in genetic counseling. This text offers step-by-step guidance for conducting research, from the development of a question to the publication of findings. Genetic counseling examples, user-friendly worksheets, and practical tips guide readers through the research and publication processes. With a highly accessible, pedagogical approach, this book will help promote quality research by genetic counselors and research supervisors--and in turn, increase the knowledge base for genetic counseling practice, other aspects of genetic counseling service delivery, and professional education. It will be an invaluable resource to the next generation of genetic counseling and its surrounding disciplines.

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