Introduction to quantitative research methods, Balnaves, Mark Caputi, Peter
Автор: Yuniya Kawamura Название: Doing Research in Fashion and Dress: An Introduction to Qualitative Methods ISBN: 1350089761 ISBN-13(EAN): 9781350089761 Издательство: Bloomsbury Academic Рейтинг: Цена: 8316.00 р. 11880.00-30% Наличие на складе: Есть (1 шт.) Описание: Whether you’re investigating fashion as a material object, an abstract idea, a social phenomenon, or a commercial system, qualitative techniques can further your understanding of almost any research topic. Doing Research in Fashion and Dress begins by guiding you through a brief history of fashion studies, and the debates surrounding it, before introducing key qualitative methodological approaches, including ethnography, semiology, and object-based research. Detailed case studies demonstrate how each methodology is used in practice. These case studies include Japanese subcultures, fashion photography blogs and semiotic studies of fashion magazine shoots and advertisements. This second edition also features a new chapter on internet sources and online ethnography, reflecting the adoption of social media tools not only by industry practitioners but also by academics.By contextualizing history, theory and practice Doing Research in Fashion and Dress offers:-A systematic examination of qualitative research methods in fashion studies in social sciences. -A practical guide for anyone wishing to conduct fashion research in academia or in the business world.-An accessible grounding in contemporary fashion studies literature.
Автор: Kalton, Graham, Название: Introduction to survey sampling / ISBN: 1544338562 ISBN-13(EAN): 9781544338569 Издательство: Sage Publications Рейтинг: Цена: 5859.00 р. Наличие на складе: Поставка под заказ.
Описание:
Sample design is key to all surveys, fundamental to data collection, and to the analysis and interpretation of the data. Introduction to Survey Sampling, Second Edition provides an authoritative and accessible source on sample design strategies and procedures that is a required reading for anyone collecting or analyzing survey data. Graham Kalton discusses different types of probability samples, stratification (pre and post), clustering, dual frames, replicates, response, base weights, design effects, and effective sample size. It is a thorough revision and update of the first edition, published more than 35 years ago. Although the concepts of probability sampling are largely the same, there have been important developments in the application of these concepts as research questions have increasingly spanned multiple disciplines, computers have become central to data collection as well as data analysis, and cell phones have become ubiquitous, but response rates have fallen, and public willingness to engage in survey research has waned. While most of the volume focuses on probability samples, there is also a chapter on nonprobability samples, which are becoming increasingly important with the rise of social media and the world wide web.
Описание: Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. Provides guidance and instruction for scholars interested in using these methods in their own research.
Автор: Brian J. Fogarty Название: Quantitative Social Science Data with R: An Introduction ISBN: 1529790468 ISBN-13(EAN): 9781529790467 Издательство: Sage Publications Рейтинг: Цена: 19642.00 р. Наличие на складе: Поставка под заказ.
Описание:
Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs.
Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how to:
- Understand and use quantitative data to answer questions
- Approach surrounding ethical issues
- Collect quantitative data
- Manage, write about, and share the data effectively
Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned.
Автор: Guillaume Desagulier Название: Corpus Linguistics and Statistics with R ISBN: 3319645706 ISBN-13(EAN): 9783319645704 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics.
Автор: Bergin, Tiffany Название: Introduction to data analysis ISBN: 144629515X ISBN-13(EAN): 9781446295151 Издательство: Sage Publications Рейтинг: Цена: 8966.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Bergin, Tiffany Название: Introduction to data analysis ISBN: 1446295141 ISBN-13(EAN): 9781446295144 Издательство: Sage Publications Рейтинг: Цена: 20434.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Claire Lemercier, Claire Zalc Название: Quantitative Methods in the Humanities: An Introduction ISBN: 0813942691 ISBN-13(EAN): 9780813942698 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 2822.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This timely and lucid guide is intended for students and scholars working on all historical periods and topics in the humanities and social sciences-especially for those who do not think of themselves as experts in quantification, ""big data,"" or ""digital humanities.""The authors reveal quantification to be a powerful and versatile tool, applicable to a myriad of materials from the past. Their book, accessible to complete beginners, offers detailed advice and practical tips on how to build a dataset from historical sources and how to categorize it according to specific research questions. Drawing on examples from works in social, political, economic, and cultural history, the book guides readers through a wide range of methods, including sampling, cross-tabulations, statistical tests, regression, factor analysis, network analysis, sequence analysis, event history analysis, geographical information systems, text analysis, and visualization. The requirements, advantages, and pitfalls of these techniques are presented in layperson's terms, avoiding mathematical terminology.Conceived primarily for historians, the book will prove invaluable to other humanists, as well as to social scientists looking for a nontechnical introduction to quantitative methods. Covering the most recent techniques, in addition to others not often enough discussed, the book will also have much to offer to the most seasoned practitioners of quantification.
Автор: Brian J. Fogarty Название: Quantitative Social Science Data with R: An Introduction, 2 ed. ISBN: 152979045X ISBN-13(EAN): 9781529790450 Издательство: Sage Publications Рейтинг: Цена: 6651.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs.
Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how to:
- Understand and use quantitative data to answer questions
- Approach surrounding ethical issues
- Collect quantitative data
- Manage, write about, and share the data effectively
Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned.
Автор: Claire Lemercier, Claire Zalc Название: Quantitative Methods in the Humanities: An Introduction ISBN: 0813942683 ISBN-13(EAN): 9780813942681 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 5706.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This timely and lucid guide is intended for students and scholars working on all historical periods and topics in the humanities and social sciences-especially for those who do not think of themselves as experts in quantification, ""big data,"" or ""digital humanities.""The authors reveal quantification to be a powerful and versatile tool, applicable to a myriad of materials from the past. Their book, accessible to complete beginners, offers detailed advice and practical tips on how to build a dataset from historical sources and how to categorize it according to specific research questions. Drawing on examples from works in social, political, economic, and cultural history, the book guides readers through a wide range of methods, including sampling, cross-tabulations, statistical tests, regression, factor analysis, network analysis, sequence analysis, event history analysis, geographical information systems, text analysis, and visualization. The requirements, advantages, and pitfalls of these techniques are presented in layperson's terms, avoiding mathematical terminology.Conceived primarily for historians, the book will prove invaluable to other humanists, as well as to social scientists looking for a nontechnical introduction to quantitative methods. Covering the most recent techniques, in addition to others not often enough discussed, the book will also have much to offer to the most seasoned practitioners of quantification.
Описание: This step-by-step introduction to conducting media and communication research offers practical insights along with the author`s signature light-hearted style to make discussion of qualitative and quantitative methods easy to comprehend.
Автор: Guillaume Desagulier Название: Corpus Linguistics and Statistics with R ISBN: 3319878239 ISBN-13(EAN): 9783319878232 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics.
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