Quantitative Social Science Data with R: An Introduction, 2 ed., Brian J. Fogarty
Старое издание
Автор: Fogarty, Brian J Название: Quantitative social science data with r ISBN: 1526411504 ISBN-13(EAN): 9781526411501 Издательство: Sage Publications Цена: 6651.00 р. Наличие на складе: Невозможна поставка. 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.
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: 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: Imai Kosuke Название: Quantitative Social Science: An Introduction in Stata ISBN: 0691191093 ISBN-13(EAN): 9780691191096 Издательство: Wiley Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The Stata edition of Imai's groundbreaking textbook on data analysis and statistics for the social sciences and allied fields
Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it--or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science.
Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results--it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior.
Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors.
Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science
Provides hands-on instruction using Stata, not paper-and-pencil statistics
Includes more than fifty data sets from actual research for students to test their skills on
Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools
Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises
Offers a solid foundation for further study
Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
Автор: Giordani Paolo, Ferraro Maria Brigida, Martella Francesca Название: An Introduction to Clustering with R ISBN: 9811305528 ISBN-13(EAN): 9789811305528 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The purpose of this book is to thoroughly prepare the reader for applied research in clustering. This book provides an accessible and comprehensive introduction to clustering and offers practical guidelines for applying clustering tools by carefully chosen real-life datasets and extensive data analyses.
Автор: Balnaves, Mark Caputi, Peter Название: Introduction to quantitative research methods ISBN: 0761968040 ISBN-13(EAN): 9780761968047 Издательство: Sage Publications Рейтинг: Цена: 5542.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Developing Intercultural Awareness is a rich, new resource for intercultural educators and trainers working in virtually any setting. Furthermore, while the one- and two-day workshop designs are useful, especially for the less experiences teacher or trainer, the collected materials by themselves constitute a valuable resource for anyone wishing to expand his or her general training or teaching rep
Автор: Punch Keith F Название: Introduction to Social Research ISBN: 1446240932 ISBN-13(EAN): 9781446240939 Издательство: Sage Publications Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With new chapters on ethics and internet research, this bestselling text has been updated to continue to provide students with an invaluable and balanced introduction to the research process.
Автор: Imai Kosuke Название: Quantitative Social Science: An Introduction ISBN: 0691175462 ISBN-13(EAN): 9780691175461 Издательство: Wiley Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields
Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it--or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science.
Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior.
Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors.
Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science
Provides hands-on instruction using R programming, not paper-and-pencil statistics
Includes more than forty data sets from actual research for students to test their skills on
Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools
Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises
Offers a solid foundation for further study
Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
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.
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: Heck, Ronald , Thomas, Scott L. Название: An Introduction to Multilevel Modeling Techniques ISBN: 0367182440 ISBN-13(EAN): 9780367182441 Издательство: Taylor&Francis Рейтинг: Цена: 8879.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes.
Автор: Gaciu Nicoleta Название: Understanding Quantitative Data in Educational Research ISBN: 1473982146 ISBN-13(EAN): 9781473982147 Издательство: Sage Publications Рейтинг: Цена: 16632.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed to help Education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods.
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.
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