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Applying Generalizability Theory Using EduG

Applying Generalizability Theory Using EduG Author Jean Cardinet
ISBN-10 9781135240332
Release 2011-03-04
Pages 240
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Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind of measurement, regardless of the discipline. Readers will appreciate the conversational style used to present a comprehensive review of G theory and its application using the freeware EduG. To maximize understanding the authors illustrate all fundamental principles with concrete examples from different fields and contexts. Annotated applications lead students through the main concepts of G theory, while illustrating both the use of EduG and interpretation of its output. Formulas are avoided wherever possible. Exercises with data sets available on the Psychology Press website allow readers to carry out their own analyses to reinforce understanding. Brief overviews of analysis of variance, estimation, and the statistical error model are provided for review. The procedures involved in carrying out a generalizability study using EduG follow, as well as guidance in the interpretation of results. Real-world applications of G theory to the assessment of depression, managerial ability, attitudes, and writing and mathematical skills are then presented. Next, annotated exercises provide an opportunity for readers to use EduG and interpret its results. The book concludes with a review of the development of G theory and possible new directions of application. Finally, for those with a strong statistical background, the appendixes provide the formulas used by EduG. Ideal as a supplement for courses on measurement theory and/or generalizability theory taught in departments of psychology, education, medicine, and the social sciences, this text will also appeal to researchers from a variety of fields interested in learning how to apply G theory to their studies.

Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Multilevel Modeling of Categorical Outcomes Using IBM SPSS Author Ronald H Heck
ISBN-10 9781136672347
Release 2013-05-07
Pages 456
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This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

Handbook of Applied Multivariate Statistics and Mathematical Modeling

Handbook of Applied Multivariate Statistics and Mathematical Modeling Author Howard E.A. Tinsley
ISBN-10 0080533566
Release 2000-05-22
Pages 721
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Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.

Qualitative quantitative Research Methodology

Qualitative quantitative Research Methodology Author Isadore Newman
ISBN-10 0809321505
Release 1998
Pages 218
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Through graphic and narrative descriptions, Newman and Benz show research to be a holistic endeavor in the world of inquiry. To clarify their argument, they provide a diagram of the "qualitative-quantitative interactive continuum" showing that qualitative analysis with its feedback loops can easily modify the types of research questions asked in quantitative analysis research and that the quantitative analysis results and its feedback can change what will be asked qualitatively.

Methodological Advances in Educational Effectiveness Research

Methodological Advances in Educational Effectiveness Research Author Bert P.M. Creemers
ISBN-10 9781136966316
Release 2010-04-26
Pages 376
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Methodological Advances in Educational Effectiveness Research is an important new work by some of the leading researchers in the field of Educational Effectiveness Research (EER). The book provides a state of the art snapshot of the methodology of EER now and clearly demonstrates the way it is applied in both research and evaluation. It shows how developments in the research methodology area such as the use of multilevel modelling approaches to analyse nested data have promoted the knowledge-base of educational effectiveness. But at the same time, as the authors show, the knowledge-base of educational effectiveness and the attempt to establish theoretical models do paradoxically challenge the development of methodologically appropriate studies including ways of analysing data. Guiding readers though the effective and appropriate use in educational effectiveness of: Longitudinal Studies Experimental Studies Mixed Research Methods Meta-analyses of effectiveness studies Using IRT to measure outcomes and factors Using Generalisability Theory to test the quality of data Multilevel modelling , and Structural Equation Modelling Techniques The authors draw in the expertise of scholars from around the world to show the mathematical background of each technique, the current and future applications, and Specific examples of applying this orientation to help the readers design their own effectiveness studies using specific methodological tools.

Multilevel Analysis

Multilevel Analysis Author Joop J. Hox
ISBN-10 9781317308676
Release 2017-09-14
Pages 348
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Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

Generalizability Theory

Generalizability Theory Author Richard J. Shavelson
ISBN-10 0803937458
Release 1991-07-23
Pages 137
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In this volume, Shavelson and Webb offer an intuitive development of generalizability theory and cover a wide variety of topics such as generalizability studies with nested facets and with fixed facets, measurement error and generalizability coefficients, and decision studies with same and with different designs. Detailed illustrations, examples and exercises all serve to clearly describe the logic underlying major concepts in generalizability theory and assist readers in applying these methods when investigating the consistency of their own measurements.

Case Study Research

Case Study Research Author Robert K. Yin
ISBN-10 9781483322247
Release 2013-05-07
Pages 312
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Providing a complete portal to the world of case study research, the Fifth Edition of Robert K. Yin’s bestselling text offers comprehensive coverage of the design and use of the case study method as a valid research tool. The book offers a clear definition of the case study method as well as discussion of design and analysis techniques. The Fifth Edition has been updated with nine new case studies, three new appendices, seven tutorials presented at the end of relevant chapters, increased coverage of values and ethics, expanded discussion on logic models, a brief glossary, and completely updated citations. This book includes exemplary case studies drawn from a wide variety of academic fields.

Intensive Longitudinal Methods

Intensive Longitudinal Methods Author Niall Bolger
ISBN-10 9781462506927
Release 2013-01-22
Pages 256
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This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (

Modern Methods for Business Research

Modern Methods for Business Research Author George A. Marcoulides
ISBN-10 9781135684129
Release 1998-03-01
Pages 448
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This volume introduces the latest popular methods for conducting business research. The goal of each chapter author--a leading authority in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics--Measurement, Decision Analysis, and Modeling. The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures, and configural models of longitudinal categorical data.

The SAGE Handbook of Quantitative Methodology for the Social Sciences

The SAGE Handbook of Quantitative Methodology for the Social Sciences Author David Kaplan
ISBN-10 9781483365879
Release 2004-06-21
Pages 528
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The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

Introducing Qualitative Research in Psychology

Introducing Qualitative Research in Psychology Author Carla Willig
ISBN-10 9780335244508
Release 2013-05-01
Pages 250
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This vital student resource takes six different approaches to qualitative methods and discusses the techniques to use these in research.

Research Methods in Education

Research Methods in Education Author Louis Cohen
ISBN-10 9781315456515
Release 2017-10-12
Pages 916
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This thoroughly updated and extended eighth edition of the long-running bestseller Research Methods in Education covers the whole range of methods employed by educational research at all stages. Its five main parts cover: the context of educational research; research design; methodologies for educational research; methods of data collection; and data analysis and reporting. It continues to be the go-to text for students, academics and researchers who are undertaking, understanding and using educational research, and has been translated into several languages. It offers plentiful and rich practical advice, underpinned by clear theoretical foundations, research evidence and up-to-date references, and it raises key issues and questions for researchers planning, conducting, reporting and evaluating research. This edition contains new chapters on: Mixed methods research The role of theory in educational research Ethics in Internet research Research questions and hypotheses Internet surveys Virtual worlds, social network software and netography in educational research Using secondary data in educational research Statistical significance, effect size and statistical power Beyond mixed methods: using Qualitative Comparative Analysis (QCA) to integrate cross-case and within-case analyses. Research Methods in Education is essential reading for both the professional researcher and anyone involved in educational and social research. The book is supported by a wealth of online materials, including PowerPoint slides, useful weblinks, practice data sets, downloadable tables and figures from the book, and a virtual, interactive, self-paced training programme in research methods. These resources can be found at:

APS Observer

APS Observer Author
ISBN-10 MINN:31951P00736790Z
Release 1998
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APS Observer has been writing in one form or another for most of life. You can find so many inspiration from APS Observer also informative, and entertaining. Click DOWNLOAD or Read Online button to get full APS Observer book for free.

Scientific Research in Education

Scientific Research in Education Author National Research Council
ISBN-10 0309133092
Release 2002-03-28
Pages 204
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Researchers, historians, and philosophers of science have debated the nature of scientific research in education for more than 100 years. Recent enthusiasm for "evidence-based" policy and practice in educationâ€"now codified in the federal law that authorizes the bulk of elementary and secondary education programsâ€"have brought a new sense of urgency to understanding the ways in which the basic tenets of science manifest in the study of teaching, learning, and schooling. Scientific Research in Education describes the similarities and differences between scientific inquiry in education and scientific inquiry in other fields and disciplines and provides a number of examples to illustrate these ideas. Its main argument is that all scientific endeavors share a common set of principles, and that each fieldâ€"including education researchâ€"develops a specialization that accounts for the particulars of what is being studied. The book also provides suggestions for how the federal government can best support high-quality scientific research in education.

Modeling and Measuring Competencies in Higher Education

Modeling and Measuring Competencies in Higher Education Author Sigrid Blömeke
ISBN-10 9789460918674
Release 2013-04-20
Pages 236
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Measuring competencies acquired over the course of higher education is an area of research that largely has been neglected. This deficit can be attributed to the complexity of academic competencies since the variety of institutions, programs, occupational fields and job requirements render it difficult to define and even harder to measure outcomes. Thus, assessing the preconditions for and effects of competency development is a challenge methodologically. In this book, a comprehensive review of the international state of research on modeling and measuring competencies in higher education across several academic disciplines is presented, along with an evaluation of the field’s strengths and weaknesses. Renowned experts share insight into the most important recent research projects and point out controversies and challenges. Competencies are regarded as context-specific dispositions acquired and required to cope successfully with domain-specific situations and tasks. However, the range of these dispositions is controversial. Should only cognitive facets be included or is it important to consider attitudes as well? Insufficient response rates and panel attrition are further challenges, as are the limitations of paper-and-pencil approaches to the complex measurement of higher education outcomes. Thus, this book may serve as a platform for the exchange of research experiences and perspectives and hopefully will instigate improvements in research into higher education.

Qualitative Research Design

Qualitative Research Design Author Joseph A. Maxwell
ISBN-10 9781452285832
Release 2012-06-08
Pages 232
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Qualitative Research Design: An Interactive Approach, Third Edition provides researchers and students with a user-friendly, step-by-step guide to planning qualitative research. Joseph A. Maxwell shows how the components of design interact with each other, and provides a strategy for creating coherent and workable relationships among these design components, highlighting key design issues. Written in an informal, jargon-free style, the book incorporates examples and hands-on exercises. "This book uses everyday language that will captivate students' attention and embed practical knowledge to supplement the technical." —Gaetane Jean-Marie, University of Oklahoma "The key strengths of the text are the passion and the enthusiasm that Dr. Maxwell has for qualitative research after all these years. I feel I can also utilize these concepts on my own research team and take them out of the classroom and into research team meetings with colleagues." —Deborah Gioia, University of Maryland, Baltimore "I really liked this book. I found myself taking notes and saying "yes" so many times because Maxwell captures the research process so well and provides many points worth quoting. As a faculty mentor, I particularly see the value of this book for my students who are conducting qualitative dissertations." —Mary S. Enright, Capella University "The text is incredibly engaging and practical...So many of the issues raised in the book are central to qualitative research, yet often not explicitly discussed in 'public' venues." - David Carlone, The University of North Carolina at Greensboro "I particularly like the interactive focus and believe that helps students to more realistically engage qualitative research design. It certainly lives up to its billing as a good guidebook, and I appreciate the fact that the author really concentrates on useful content, exercises, insights, and examples, and leaves extensive theory discussions to others." - Sharon L. Caudle, Texas A & M University