A Step-by-Step Guide to Qualitative Data Coding PDF Download

Author: Philip Adu
Publisher: Routledge
ISBN: 1351044494
Category : Psychology
Languages : en
Pages : 416

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Book Description
A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings. The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to: Analyze qualitative data and present their findings Select an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysis Develop relationships among categories/themes Choose a suitable format for the presentation of the findings It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.

Author: David J. Livingstone
Publisher: John Wiley & Sons
ISBN: 047068481X
Category : Science
Languages : en
Pages : 358

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Book Description
Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist. This handbook of data analysis with worked examples focuses on the application of mathematical and statistical techniques and the interpretation of their results. Covering the most common statistical methods for examining and exploring relationships in data, the text includes extensive examples from a variety of scientific disciplines. The chapters are organised logically, from planning an experiment, through examining and displaying the data, to constructing quantitative models. Each chapter is intended to stand alone so that casual users can refer to the section that is most appropriate to their problem. Written by a highly qualified and internationally respected author this text: Presents statistics for the non-statistician Explains a variety of methods to extract information from data Describes the application of statistical methods to the design of “performance chemicals” Emphasises the application of statistical techniques and the interpretation of their results Of practical use to chemists, biochemists, pharmacists, biologists and researchers from many other scientific disciplines in both industry and academia.

Author: F. Mary Hart
Publisher: Macmillan Educational Corporation
ISBN: 9780333437889
Category : Calculus
Languages : en
Pages : 202

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Book Description
This textbook is part of a major series designed to guide undergraduate students through the first year of their mathematics course. New concepts are introduced gradually with worked examples as illustrations. Exercises with and without solutions are provi

Author: Alan McKee
Publisher: SAGE
ISBN: 9780761949930
Category : Social Science
Languages : en
Pages : 180

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Book Description
Textual analysis is a methodology - a way of gathering data - for researchers who are interested in the ways in which people make sense of the world.

Author: Virginia Braun
Publisher: SAGE
ISBN: 1526417294
Category : Psychology
Languages : en
Pages : 371

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Book Description
**Winner of the 2022 British Psychological Society Book Award - Textbook Category** Developed and adapted by the authors of this book, thematic analysis (TA) is one of the most popular qualitative data analytic techniques in psychology and the social and health sciences. Building on the success of Braun & Clarke′s 2006 paper first outlining their approach - which has over 100,000 citations on Google Scholar - this book is the definitive guide to TA, covering: - Contextualisation of TA - Developing themes - Writing TA reports - Reflexive TA It addresses the common questions surrounding TA as well as developments in the field, offering a highly accessible and practical discussion of doing TA situated within a clear understanding of the wider terrain of qualitative research. Virginia Braun is a Professor in the School of Psychology at The University of Auckland, Aotearoa New Zealand. Victoria Clarke is an Associate Professor in Qualitative and Critical Psychology in the Department of Social Sciences at the University of the West of England (UWE), Bristol.

Author: Douglas Luke
Publisher: Springer
ISBN: 3319238833
Category : Mathematics
Languages : en
Pages : 238

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Book Description
Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well.

Author: James H. McComas
Publisher: Trial Guides, LLC
ISBN: 9781934833483
Category : Defense (Criminal procedure)
Languages : en
Pages : 161

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Book Description

Author: Michael R. Berthold
Publisher: Springer Science & Business Media
ISBN: 184882260X
Category : Computers
Languages : en
Pages : 399

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Book Description
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.

Author: Mark Klein
Publisher: Springer Science & Business Media
ISBN: 1461527961
Category : Computers
Languages : en
Pages : 701

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Book Description
A Practitioner's Handbook for Real-Time Analysis: Guide to Rate Monotonic Analysis for Real-Time Systems contains an invaluable collection of quantitative methods that enable real-time system developers to understand, analyze, and predict the timing behavior of many real-time systems. The methods are practical and theoretically sound, and can be used to assess design tradeoffs and to troubleshoot system timing behavior. This collection of methods is called rate monotonic analysis (RMA). The Handbook includes a framework for describing and categorizing the timing aspects of real-time systems, step-by-step techniques for performing timing analysis, numerous examples of real-time situations to which the techniques can be applied, and two case studies. A Practitioner's Handbook for Real-Time Analysis: Guide to Rate Monotonic Analysis for Real-Time Systems has been created to serve as a definitive source of information and a guide for developers as they analyze and design real-time systems using RMA. The Handbook is an excellent reference, and may be used as the text for advanced courses on the subject.

Author: Anna Coulling
Publisher: Createspace Independent Publishing Platform
ISBN: 9781491249390
Category : Business enterprises
Languages : en
Pages : 0

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Book Description
Here in the UK we have a product called Marmite. It is a deeply divisive food, which you either love or hate. Those who love it, cannot understand how anyone could live without it - and of course, the opposite is true for those who hate it!This same sentiment could be applied to volume as a trading indicator. In other words, you are likely to fall into one of two camps. You either believe it works, or you don't. It really is that simple. There is no halfway house here!I make no bones about the fact that I believe I was lucky in starting my own trading journey using volume. To me it just made sense, and the logic of what it revealed was inescapable. And for me, the most powerful reason is very simple. Volume is a rare commodity in trading - a leading indicator. The second, and only other leading indicator, is price. Everything else is lagged.As traders, investors or speculators, all we are trying to do is to forecast where the market is heading next. Is there any better way than to use the only two leading indicators we have at our disposal, namely volume and price? In isolation each tells us very little. After all, volume is just that, no more no less. A price is a price. However, combine these two forces together, and the result is a powerful analytical approach to forecasting market direction..However, as I say at the start of the book, there is nothing new in trading, and the analysis of volume has been around for over 100 years. After all, this is where the iconic traders started. People like Charles Dow, Jesse Livermore, Richard Wyckoff, and Richard Ney. All they had was the ticker tape, from which they read the price, and the number of shares traded. Volume price analysis, short and simple. The book has been written for traders who have never come across this methodology, and for those who have some knowledge, and perhaps wish to learn a little more. It is not revolutionary, or innovative, but just simple sound common sense, combined with logic.