Author: Greg Guest
Publisher: SAGE
ISBN: 1412986842
Category : Medical
Languages : en
Pages : 377
Book Description
Provides a very practical and step-by-step guide to collecting and managing qualitative data,
Collecting Qualitative Data
Author: Greg Guest
Publisher: SAGE
ISBN: 1412986842
Category : Medical
Languages : en
Pages : 377
Book Description
Provides a very practical and step-by-step guide to collecting and managing qualitative data,
Publisher: SAGE
ISBN: 1412986842
Category : Medical
Languages : en
Pages : 377
Book Description
Provides a very practical and step-by-step guide to collecting and managing qualitative data,
The SAGE Handbook of Qualitative Data Collection
Author: Uwe Flick
Publisher: SAGE
ISBN: 1526416069
Category : Reference
Languages : en
Pages : 737
Book Description
The SAGE Handbook of Qualitative Data Collection is a timely overview of the methodological developments available to social science researchers, covering key themes including: Concepts, Contexts, Basics Verbal Data Digital and Internet Data Triangulation and Mixed Methods Collecting Data in Specific Populations.
Publisher: SAGE
ISBN: 1526416069
Category : Reference
Languages : en
Pages : 737
Book Description
The SAGE Handbook of Qualitative Data Collection is a timely overview of the methodological developments available to social science researchers, covering key themes including: Concepts, Contexts, Basics Verbal Data Digital and Internet Data Triangulation and Mixed Methods Collecting Data in Specific Populations.
The Data Science Design Manual
Author: Steven S. Skiena
Publisher: Springer
ISBN: 3319554441
Category : Computers
Languages : en
Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Publisher: Springer
ISBN: 3319554441
Category : Computers
Languages : en
Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Cochrane Handbook for Systematic Reviews of Interventions
Author: Julian P. T. Higgins
Publisher: Wiley
ISBN: 9780470699515
Category : Medical
Languages : en
Pages : 672
Book Description
Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.
Publisher: Wiley
ISBN: 9780470699515
Category : Medical
Languages : en
Pages : 672
Book Description
Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.
The Measurement of Scientific, Technological and Innovation Activities Oslo Manual 2018 Guidelines for Collecting, Reporting and Using Data on Innovation, 4th Edition
Author: OECD
Publisher: OECD Publishing
ISBN: 9264304606
Category :
Languages : en
Pages : 258
Book Description
What is innovation and how should it be measured? Understanding the scale of innovation activities, the characteristics of innovative firms and the internal and systemic factors that can influence innovation is a prerequisite for the pursuit and analysis of policies aimed at fostering innovation.
Publisher: OECD Publishing
ISBN: 9264304606
Category :
Languages : en
Pages : 258
Book Description
What is innovation and how should it be measured? Understanding the scale of innovation activities, the characteristics of innovative firms and the internal and systemic factors that can influence innovation is a prerequisite for the pursuit and analysis of policies aimed at fostering innovation.
The Measurement of Scientific and Technological Activities Oslo Manual Guidelines for Collecting and Interpreting Innovation Data, 3rd Edition
Author: OECD
Publisher: OECD Publishing
ISBN: 9264013105
Category :
Languages : en
Pages : 166
Book Description
This book is the foremost international source of guidelines for the collection and use of data on innovation activities in industry.
Publisher: OECD Publishing
ISBN: 9264013105
Category :
Languages : en
Pages : 166
Book Description
This book is the foremost international source of guidelines for the collection and use of data on innovation activities in industry.
The Complete Collections Assessment Manual
Author: Madeline M. Kelly
Publisher: American Library Association
ISBN: 0838918689
Category : Language Arts & Disciplines
Languages : en
Pages : 34
Book Description
Assessment is increasingly integral to building, managing, and justifying library collections. Unfortunately, assessment can also be a daunting undertaking. And though every institution is unique, as this manual demonstrates, there's no need to reinvent the wheel. Spanning both concept and practice, Kelly offers a holistic assessment framework suitable to a variety of collections and contexts. With a structure that makes it applicable as both a training tool for practicing librarians and a useful course text for library students, this manual - introduces foundational assessment methodologies then provides concrete guidance on how to contextualize those methodologies within a holistic collections assessment program; - covers topics such as assessment goals, assessment stakeholders, selecting data and methodologies, working through project constraints, and project planning; - includes sample assessment program structures and other useful templates; - provides step-by-step instructions for more than a dozen specific methodologies, describing which aspect of the collection is being measured, what goals the methodology can address, technological requirements, recommended visualizations, and other helpful pointers; and - shares best practices for communicating effectively with internal and external stakeholders about assessment projects, with sample communication plans that can be easily adapted. Bridging the divide between the big picture and the nitty gritty, this manual guides the reader through the development and implementation of a collections assessment program tailored to local needs and resources.
Publisher: American Library Association
ISBN: 0838918689
Category : Language Arts & Disciplines
Languages : en
Pages : 34
Book Description
Assessment is increasingly integral to building, managing, and justifying library collections. Unfortunately, assessment can also be a daunting undertaking. And though every institution is unique, as this manual demonstrates, there's no need to reinvent the wheel. Spanning both concept and practice, Kelly offers a holistic assessment framework suitable to a variety of collections and contexts. With a structure that makes it applicable as both a training tool for practicing librarians and a useful course text for library students, this manual - introduces foundational assessment methodologies then provides concrete guidance on how to contextualize those methodologies within a holistic collections assessment program; - covers topics such as assessment goals, assessment stakeholders, selecting data and methodologies, working through project constraints, and project planning; - includes sample assessment program structures and other useful templates; - provides step-by-step instructions for more than a dozen specific methodologies, describing which aspect of the collection is being measured, what goals the methodology can address, technological requirements, recommended visualizations, and other helpful pointers; and - shares best practices for communicating effectively with internal and external stakeholders about assessment projects, with sample communication plans that can be easily adapted. Bridging the divide between the big picture and the nitty gritty, this manual guides the reader through the development and implementation of a collections assessment program tailored to local needs and resources.
The Coding Manual for Qualitative Researchers
Author: Johnny Saldana
Publisher: SAGE
ISBN: 1446200124
Category : Reference
Languages : en
Pages : 282
Book Description
The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.
Publisher: SAGE
ISBN: 1446200124
Category : Reference
Languages : en
Pages : 282
Book Description
The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.
The Measurement of Scientific, Technological and Innovation Activities Frascati Manual 2015 Guidelines for Collecting and Reporting Data on Research and Experimental Development
Author: OECD
Publisher: OECD Publishing
ISBN: 9264239014
Category :
Languages : en
Pages : 402
Book Description
The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications ...
Publisher: OECD Publishing
ISBN: 9264239014
Category :
Languages : en
Pages : 402
Book Description
The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications ...
Data Processing Handbook for Complex Biological Data Sources
Author: Gauri Misra
Publisher: Academic Press
ISBN: 0128172800
Category : Science
Languages : en
Pages : 191
Book Description
Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the techniques to process and interpret them. The book includes feedback the editor received from students studying at both undergraduate and graduate levels, and from her peers. In order to succeed in data processing for biological data sources, it is necessary to master the type of data and general methods and tools for modern data processing. For instance, many labs follow the path of interdisciplinary studies and get their data validated by several methods. Researchers at those labs may not perform all the techniques themselves, but either in collaboration or through outsourcing, they make use of a range of them, because, in the absence of cross validation using different techniques, the chances for acceptance of an article for publication in high profile journals is weakened. - Explains how to interpret enormous amounts of data generated using several experimental approaches in simple terms, thus relating biology and physics at the atomic level - Presents sample data files and explains the usage of equations and web servers cited in research articles to extract useful information from their own biological data - Discusses, in detail, raw data files, data processing strategies, and the web based sources relevant for data processing
Publisher: Academic Press
ISBN: 0128172800
Category : Science
Languages : en
Pages : 191
Book Description
Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the techniques to process and interpret them. The book includes feedback the editor received from students studying at both undergraduate and graduate levels, and from her peers. In order to succeed in data processing for biological data sources, it is necessary to master the type of data and general methods and tools for modern data processing. For instance, many labs follow the path of interdisciplinary studies and get their data validated by several methods. Researchers at those labs may not perform all the techniques themselves, but either in collaboration or through outsourcing, they make use of a range of them, because, in the absence of cross validation using different techniques, the chances for acceptance of an article for publication in high profile journals is weakened. - Explains how to interpret enormous amounts of data generated using several experimental approaches in simple terms, thus relating biology and physics at the atomic level - Presents sample data files and explains the usage of equations and web servers cited in research articles to extract useful information from their own biological data - Discusses, in detail, raw data files, data processing strategies, and the web based sources relevant for data processing