Analyzing Qualitative Categorical Data
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Analyzing Qualitative Categorical Data
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Author : Leo A. Goodman
language : en
Publisher: University Press of America
Release Date : 1985
Analyzing Qualitative Categorical Data written by Leo A. Goodman and has been published by University Press of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Mathematics categories.
Abstract: Statistical methods covering log-linear models and latent-structure analysis are presented and described for the analysis of qualitative or categorical data to assist the pressing needs of social researchers and others in developing and applying a unified and systematic approach to the analysis of such data. The scope of applications in this approach includes methods for the sociologist examining the relationship between poverty and crime; the educational researcher examining the reliability and validity of a set of test items; the psychometrician developing a new measurement scale; the market researcher analyzing purchase behavior in different market segments; the medical researcher attempting to identify factors associated with various diseases (e.g., breast cancer); and the political scientist examining voter behavior. The methods are applicable to computer programs. (wz).
Analyzing Qualitative Data
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Author : Graham R Gibbs
language : en
Publisher: SAGE
Release Date : 2018-09-03
Analyzing Qualitative Data written by Graham R Gibbs and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Social Science categories.
This book tackles the challenges of how to make sense of qualitative data. It offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted qualitative data analysis. Lastly, Gibbs shows you how to bring it all together, so you can see the steps of qualitative analysis, understand the central place of coding, ensure analytic quality and write effectively to present your results.
Analyzing Qualitative Categorical Data
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Author : Leo A. Goodman
language : sl
Publisher:
Release Date : 1978
Analyzing Qualitative Categorical Data written by Leo A. Goodman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with categories.
Qualitative Text Analysis
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Author : Udo Kuckartz
language : en
Publisher: SAGE
Release Date : 2014-01-23
Qualitative Text Analysis written by Udo Kuckartz and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-23 with Reference categories.
How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.
Bone Densitometry In Clinical Practice
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Author : Sydney Lou Bonnick
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-03
Bone Densitometry In Clinical Practice written by Sydney Lou Bonnick and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-03 with Medical categories.
Bone densitometry (BD) is an extraordinary clinical tool. It provides a safe, non-invasive window to the skeleton. Through that window, a physician can obtain vital clinical information that enhances diagnosis and improves patient management. Further, much has changed in the last decade to make bone densitometry the especially fascinating field of medicine it is today, incorporating imaging, physics, quantitative analysis, statistics, and computer technology -- all applied in the diagnosis and management of osteoporosis. No text details the state-of-the-art and value of densitometry better than Bone Densitometry in Clinical Practice: Applications and Interpretation, Third Edition. Written by renowned expert Sydney Lou Bonnick, MD, this edition improves remarkably on her highly regarded previous volumes, with a significant update and expansion of material. New chapters reflect densitometry’s growing applications as well as the evolving needs of the densitometrist. New material on radiation safety and assessment for secondary causes of bone fragility is included, and the text also incorporates material from the recent ISCD Position Development Conferences (PDC’s), both the 4th adult and the 1st pediatric. Moreover, an entire appendix devoted to the PDCs has been added, providing solutions to many unanswered questions concerning bone densitometry applications. Comprehensive and invaluable, Bone Densitometry in Clinical Practice: Application and Interpretation, Third Edition offers all primary care physicians and specialists the ideal reference for practicing state-of-the-art bone densitometry and caring for patients with, or at risk for, osteoporosis.
Statistical Methods For Categorical Data Analysis
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Author : Daniel Powers
language : en
Publisher: Emerald Group Publishing
Release Date : 2008-11-13
Statistical Methods For Categorical Data Analysis written by Daniel Powers and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-13 with Psychology categories.
This book provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. Companion website also available, at https://webspace.utexas.edu/dpowers/www/
Handbook Of Data Analysis
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Author : Melissa A Hardy
language : en
Publisher: SAGE
Release Date : 2009-06-17
Handbook Of Data Analysis written by Melissa A Hardy and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-17 with Social Science categories.
′This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond′ - Environment and Planning ′The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher′ - Clive Seale, Brunel University ′With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ′ - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa ′This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments′ - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.
The Routledge Reviewer S Guide To Mixed Methods Analysis
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Author : Anthony J. Onwuegbuzie
language : en
Publisher: Routledge
Release Date : 2021-07-12
The Routledge Reviewer S Guide To Mixed Methods Analysis written by Anthony J. Onwuegbuzie and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-12 with Psychology categories.
The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Fire Data Analysis Handbook Second Edition
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Author :
language : en
Publisher: FEMA
Release Date :
Fire Data Analysis Handbook Second Edition written by and has been published by FEMA this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Modern Applied Statistics With S Plus
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Author : W.N. Venables
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Modern Applied Statistics With S Plus written by W.N. Venables and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.
S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas that have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-PLUS to perform statistical analyses and provides both an introduction to the use of S-PLUS and a course in modern statistical methods. S-PLUS is available commercially for both Windows and UNIX workstations, and both versions are covered in depth. The aim of the book is to show how to use S-PLUS as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for would-be users of S-PLUS, and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets. Many of the methods discussed are state-of-the-art approaches to topics such as linear, non-linear, and smooth regression models, tree-based methods, multivariate analysis and pattern recognition, survival analysis, time series and spatial statistics. Throughout modern techniques such as robust methods, non-parametric smoothing and bootstrapping are used where appropriate. This third edition is intended for users of S-PLUS 4.5, 5.0 or later, although S-PLUS 3.3/4 are also considered. The major change from the second edition is coverage of the current versions of S-PLUS. The material has been extensively rewritten using new examples and the latest computationally-intensive methods. Volume 2: S programming, which is in preparation, will provide an in-depth guide for those writing software in the S language.