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Cut in a fit-and-flare silhouette, this midi-dress is defined by mixed plaid patterning. Square neckline Spaghetti straps Side seam pockets Smocked back 100% polyester Hand wash Imported SIZE & FIT Fit-and-flare silhouette About 45" from shoulder to hem Model measurements: 5'11" tall Model is wearing a US size 4. Selloff Women's - S/o W Collections > Saks Off 5th. Baum und Pferdgarten. Color: Bright Violet. Size: 40 (6).

Cut in a fit-and-flare silhouette, this midi-dress is defined by mixed plaid patterning. Square neckline Spaghetti straps Side seam pockets Smocked back 100% polyester Hand wash Imported SIZE & FIT Fit-and-flare silhouette About 45" from shoulder to hem Model measurements: 5'11" tall Model is wearing a US size 4. Selloff Women's - S/o W Collections > Saks Off 5th. Baum und Pferdgarten. Color: Bright Violet. Size: 38 (4).

Cut in a fit-and-flare silhouette, this midi-dress is defined by mixed plaid patterning. Square neckline Spaghetti straps Side seam pockets Smocked back 100% polyester Hand wash Imported SIZE & FIT Fit-and-flare silhouette About 45" from shoulder to hem Model measurements: 5'11" tall Model is wearing a US size 4. Selloff Women's - S/o W Collections > Saks Off 5th. Baum und Pferdgarten. Color: Bright Violet. Size: 36 (2).

Leinen, Fadenheftung, 270 Seiten. Namen auf Vorsatz, Kleberückstände auf Vorsatz, ansonsten sehr guter Zustand. Gewicht: 700

German language. 9.49x8.15x0.55 inches. In Stock.

New Book. Shipped From Uk. This Book Is Printed On Demand. Established Seller Since 2000.

Looking for a practical guide to using mixed methodologies? This book explores the most effective way to combine qualitative and quantitative techniques. It begins with a discussion of the paradigm wars between positivism and constructivism, explains the difference between using mixed methods in just the research methodology portion of a study versus using mixed model studies across all phases of the process, and then presents a typology of mixed methods and mixed model studies.

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider. Along with describing common applications of GLMMs, the text introduces the essential theory and main methodology associated with linear models that accommodate random model effects and non-Gaussian data. Unlike traditional linear model textbooks that focus on normally distributed data, this one adopts a generalized mixed model approach throughout: data for linear modeling need not be normally distributed and effects may be fixed or random. With numerous examples using SAS® PROC GLIMMIX, this book is ideal for graduate students in statistics, statistics professionals seeking to update their knowledge, and researchers new to the generalized linear model thought process. It focuses on data-driven processes and provides context for extending traditional linear model thinking to generalized linear mixed modeling. See Professor Stroup discuss the book.

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Focused on increasing the credibility of research and evaluation, the Fourth Edition of Donna M. Mertens’s comprehensive Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods incorporates the viewpoints of various research paradigms into its descriptions of these methods. Providing specific advice on conducting research in culturally complex communities, the new edition has been updated to align with the American Psychological Association and the National Council of Accreditation of Teacher Education accreditation requirements. Approximately sixty percent of the content in the Fourth Edition is new, updated with numerous contemporary examples, making this book one of the most comprehensive, accessible, and practical methods books available.   Praise for the previous edition: "The organization of the text reflects the author’s intent, philosophy, and objectives . . . [Mertens] clearly presents approaches, descriptions, and many examples useful in conducting studies; she is to be commended for the thoroughness of her work." ―Frank D. Adams, Wayne State College   "Excellent descriptions, definitions, examples, and narrative about social science theory and the various paradigms. Mertens’ use [of] a wide variety of social identities to provide her examples makes the text inclusive of a variety of diverse identities. It is also useful to see the differences between [research and evaluation] and to select methods appropriate to the intention of the inquiry." ―Katrina L. Rodriguez, University of Northern Colorado

Using Counseling Research: Quantitative, Qualitative, and Mixed Methods, counseling students are given the opportunity to learn research design, methodology, and analysis through a counseling-specific framework. While other comparable survey books on education-related research and statistics do not contain many specific examples and applications of quantitative, qualitative, and mixed methods from the counseling profession, this texts gives counseling students the opportunity to learn research methods within their own unique discipline.   By using counseling-specific examples, students will be more able to apply their learning to other aspects of their training and professors will have a more straightforward means of making research understandable and relevant to the master’s level counseling student. Counseling Research also focuses not only on how to produce valid research, but also on how to competently read, analyze, and utilize others’ research. In addition to the requisite research materials, the textbook includes chapters on ethics in counseling research, multicultural issues in counseling research, and a practical guide to SPSS.

Mixed Methods for Policy Research and Program Evaluation by Patricia Burch and Carolyn J. Heinrich equips students, researchers, and policymakers in the social sciences with the tools they need for applying mixed methods in policy research and program evaluation, from design, through data collection, and dissemination. Emphasizing the "how-to"―the set of conceptual and active tasks carried out by mixed methods researchers―the book is illustrated with rich case studies from the authors’ own research projects in education and public policy. These examples help readers identify and explain policy and program impacts and better understand the "why" and "how" of observed effects. Throughout the book, the authors describe challenges that both beginners and advanced scholars are likely to encounter when doing mixed methods research and recommend practical tools available to address them.

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Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques   - Data management - The big data phenomenon   - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.

Intuitive, accessible, and filled with real-world testimonials from criminal justice scholars, Research Methods in Criminal Justice and Criminology: A Mixed Methods Approach, Second Edition, gives students the tools they need to understand the research they read and take the first steps toward producing compelling research projects themselves. Featuring a step-by-step organization that follows the stages of a research project, it emphasizes the actual experience of conducting research and includes a wealth of examples. The text is enhanced by robust pedagogy including chapter objectives, key terms, a running glossary, and chapter-ending discussion questions.

Qualitative and Mixed Methods Data Analysis Using Dedoose®: A Practical Approach for Research Across the Social Sciences by Michelle Salmona, Eli Lieber, Dan Kaczynski provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed methods and qualitative inquiry using Dedoose® software. The authors use their depth of experience designing and updating Dedoose® as well as their published research to give the reader practical strategies for using Dedoose® from a wide range of research studies. Case study contributions by outside researchers provide readers with rich examples of how to use Dedoose® in practical, applied social science and health settings.

Finally, a practical guide to mixed methods research has been written with health and human services professionals in mind. Watkins and Gioia review the fundamentals of mixed methods research designs and the general suppositions of mixed methods procedures, look critically at mixed method studies and models that have already been employed in social work, and reflect on the contributions of this work to the field. But what is most important is that they lead the reader through considerations for the application of the mixed methods research in social work settings. The chapters of this book are structured so that readers can (figuratively) walk through the mixed methods research process using nine steps. Chapters one, five, and six provide supplemental material meant to serve as grounding for chapters two, three, and four, which outline nine steps in the mixed methods research process, and specific to social work research. This is a short and practical guide not just for learning about mixed methods research, but also doing it.

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A practical, how-to guide to designing mixed methods studiesCombining the latest thinking about mixed methods research designs with practical, step-by-step guidance, the Second Edition of Designing and Conducting Mixed Methods Research now covers six major mixed methods designs. Authors John W. Creswell and Vicki L. Plano Clark walk readers through the entire research process, from formulating questions to designing, collecting data, and interpreting results and include updated examples from published mixed methods studies drawn from the social, behavioral, health, and education disciplines.Intended AudienceThis text is intended for use in Intermediate/Advanced Research Methods, Mixed Methods, Research Design, and Social Research Methods courses across the social and behavioral sciences.