applying generalizability theory using edug quantitative methodology series

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Applying Generalizability Theory Using Edug

Author : Jean Cardinet
ISBN : 9781135240332
Genre : Psychology
File Size : 63. 64 MB
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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.

Generalizability Theory

Author : Richard J. Shavelson
ISBN : 0803937458
Genre : Medical
File Size : 28. 98 MB
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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.

Multilevel Modeling Of Categorical Outcomes Using Ibm Spss

Author : Ronald H Heck
ISBN : 9781136672347
Genre : Psychology
File Size : 66. 77 MB
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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 www.psypress.com/9781848729568. 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.

Multilevel Analysis

Author : Joop J. Hox
ISBN : 9781317308676
Genre : Psychology
File Size : 42. 13 MB
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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.

Modern Methods For Business Research

Author : George A. Marcoulides
ISBN : 9781135684129
Genre : Business & Economics
File Size : 88. 83 MB
Format : PDF
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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.

Qualitative Quantitative Research Methodology

Author : Isadore Newman
ISBN : 0809321505
Genre : Science
File Size : 28. 30 MB
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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.

Qualitative Research Design

Author : Joseph A. Maxwell
ISBN : 9781452285832
Genre : Social Science
File Size : 66. 91 MB
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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

Statistical Methods For Validation Of Assessment Scale Data In Counseling And Related Fields

Author : Dimiter M. Dimitrov
ISBN : 9781119019282
Genre : Psychology
File Size : 88. 83 MB
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“Dr. Dimitrov has constructed a masterpiece—a classic resource that should adorn the shelf of every counseling researcher and graduate student serious about the construction and validation of high quality research instruments. —Bradley T. Erford, PhD Loyola University Maryland Past President, American Counseling Association “This book offers a comprehensive treatment of the statistical models and methods needed to properly examine the psychometric properties of assessment scale data. It is certain to become a definitive reference for both novice and experienced researchers alike.” —George A. Marcoulides, PhD University of California, Riverside This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling, psychology, education, and related fields. In Part I, measurement scales, reliability, and the unified construct-based model of validity are discussed, along with key steps in instrument development. Part II describes factor analyses in construct validation, including exploratory factor analysis, confirmatory factor analysis, and models of multitrait-multimethod data analysis. Traditional and Rasch-based analyses of binary and rating scales are examined in Part III. Dr. Dimitrov offers students, researchers, and clinicians step-by-step guidance on contemporary methodological principles, statistical methods, and psychometric procedures that are useful in the development or validation of assessment scale data. Numerous examples, tables, and figures provided throughout the text illustrate the underlying principles of measurement in a clear and concise manner for practical application. *Requests for digital versions from the ACA can be found on wiley.com. *To request print copies, please visit the ACA website.

The Sage Handbook Of Quantitative Methodology For The Social Sciences

Author : David Kaplan
ISBN : 9781483365879
Genre : Social Science
File Size : 24. 77 MB
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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.

Intensive Longitudinal Methods

Author : Niall Bolger
ISBN : 9781462506927
Genre : Psychology
File Size : 80. 1 MB
Format : PDF, Kindle
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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 (www.intensivelongitudinal.com).

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