Автор: Bremer Martina, Doerge Rebecca W. Название: Using R at the Bench: Step-By-Step Data Analytics for Biologists ISBN: 1621821129 ISBN-13(EAN): 9781621821120 Издательство: Неизвестно Рейтинг: Цена: 102690.00 T Наличие на складе: Невозможна поставка. Описание: Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses using the free/public software package known as R. The expectations for biologists to have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully. Although the original Statistics at the Bench is still available for sale and has all examples in Excel, this new book uses the same text and examples in R. A new chapter introduces the basics of R: where to download, how to get started, and some basic commands and resources. There is also a new chapter that explains how to analyze next-generation sequencing data using R (specifically, RNA-Seq). R is powerful statistical software with many specialized packages for biological applications and Using R at the Bench: Step-by-Step Data Analytics for Biologists is an excellent resource for those biologists who want to learn R. This handbook for working scientists provides a simple refresher for those who have forgotten what they once knew and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed R commands for easy reference.
Автор: Kristin Briney Название: Data Management for Researchers: Organize, maintain and share your data for research success ISBN: 1784270113 ISBN-13(EAN): 9781784270117 Издательство: NBN International Рейтинг: Цена: 42240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learning how to manage, share and preserve data is essential for active researchers. A comprehensive guide for scientific researchers providing everything they need to know about data management and how to organize, document, use and reuse their data.
Автор: Humble Aine Название: How Qualitative Data Analysis Happens ISBN: 1138044679 ISBN-13(EAN): 9781138044678 Издательство: Taylor&Francis Рейтинг: Цена: 38780.00 T Наличие на складе: Нет в наличии. Описание: This volume shows how researchers actively and consciously arrive at their themes, revealing the complexity of making sense of thousands of pages of interview data, multiple data sources, and diverse types of data.
Автор: Fogarty, Brian J Название: Quantitative social science data with r ISBN: 1526411504 ISBN-13(EAN): 9781526411501 Издательство: Sage Publications Рейтинг: Цена: 44340.00 T 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: Kristi Jackson, Patricia Bazeley Название: Qualitative Data Analysis with NVivo ISBN: 1526449935 ISBN-13(EAN): 9781526449931 Издательство: Sage Publications Рейтинг: Цена: 116160.00 T Наличие на складе: Нет в наличии. Описание: Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.
Автор: Andy Kirk Название: Data Visualisation: A Handbook for Data Driven Design ISBN: 1526468921 ISBN-13(EAN): 9781526468925 Издательство: Sage Publications Рейтинг: Цена: 50680.00 T Наличие на складе: Нет в наличии. Описание: With over 200 images and extensive how-to and how-not-to examples, the new edition of the book The Financial Times voted one of the `six best books for data geeks` has everything students and scholars need to understand and create effective data visualisations.
Автор: Michael Schnegg, Edward D. Lowe Название: Comparing Cultures: Innovations in Comparative Ethnography ISBN: 1108720013 ISBN-13(EAN): 9781108720014 Издательство: Cambridge Academ Рейтинг: Цена: 25350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With contributions from a global spread of scholars, this book is a timely guide to comparative ethnographic methods and tools, allowing qualitative researchers in a range of social scientific fields, such as anthropology and sociology, to ensure that their work is more contextually sensitive, and theoretically robust.
Автор: Aidan G. C. Wright, Michael N. Hallquist Название: The Cambridge Handbook of Research Methods in Clinical Psychology ISBN: 1316639525 ISBN-13(EAN): 9781316639528 Издательство: Cambridge Academ Рейтинг: Цена: 64410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This Handbook provides an overview and guide for state-of-the-art research methods in clinical psychological science. It is the ideal resource for clinical psychologists, graduate students studying clinical psychology, and practitioners or researchers in allied disciplines including psychiatry and social work.
Автор: Gabriele Griffin, Matt Hayler Название: Research Methods for Reading Digital Data in the Digital Humanities ISBN: 1474409601 ISBN-13(EAN): 9781474409605 Издательство: Bloomsbury Academic Рейтинг: Цена: 95040.00 T Наличие на складе: Невозможна поставка. Описание:
The first volume to introduce the techniques and methods of reading digital material for research
Digital Humanities has become one of the new domains of academe at the interface of technological development, epistemological change, and methodological concerns. This volume explores how digital material might be read or utilized in research, whether that material is digitally born as fanfiction, for example, mostly is, or transposed from other sources. The volume asks questions such as what happens when text is transformed from printed into digital matter, and how that impacts on the methods we bring to bear on exploring that technologized matter, for example in the case of digital editions. Issues such as how to analyse visual material in digital archives or Twitter feeds, how to engage in data mining, what it means to undertake crowd-sourcing, big data, and what digital network analyses can tell us about online interactions are dealt with. This will give Humanities researchers ideas for doing digitally based research and also suggest ways of engaging with new digital research methods.
Key features
First volume centred on the navigation and interpretation of digital material as research methods in the Humanities
Up-to-date analyses of issues and methods including big data, crowdsourcing, digital network analysis, working with digital additions
Based on actual research projects such as para-textual work with fanfiction, reading twitter, different kinds of distant and close readings
Автор: Groenland Edward Название: Qualitative Methodologies And Data Collection Methods: Towar ISBN: 9811206538 ISBN-13(EAN): 9789811206535 Издательство: World Scientific Publishing Рейтинг: Цена: 110880.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 'The book is very simplistically written and, I consider that undergraduate students would find maximum chapters easy to comprehend and apply. I strongly recommend Qualitative Methodologies and Data Collection Methods: Toward Increased Rigour in Management Research for general and qualitative methodology courses and for practitioners and researchers searching for direction in planning or gaining a superior comprehension of qualitative research. It is an excellent book that gives brief and accommodating portrayals of major ascribes of qualitative research and priceless examples for planning and conducting research studies and various data collection methods in qualitative exploration.'Technological Forecasting & Social Change Globalisation opens new frontiers of research that require advanced research methods. While quantitative methods are ideal in some situations, qualitative methods are more appropriate for responding to 'how' questions in new contexts. They aim to understand and provide a holistic picture via interaction -- a unique advantage over quantitative methods. This textbook for graduate students introduces qualitative research and covers major qualitative methodologies and data collection methods.The choice of methodologies in this book is based on their actual applicability in management research. This approach provides a hands-on emphasis while maintaining both scientific rigour and rooting, and a high practicality level with respect to problem analysis, the collection of data, and the way this data should be analysed.Students and researchers will benefit from features including explanations of the advantages and disadvantages of methodological choices, and elaborated examples of good articles. The reader will acquire an overview of current methodologies, which will facilitate the choice process with respect to research approaches, and is also encouraged to bring personal research skills to a higher level.
Автор: Donnelly Francis Название: Exploring the U.S. Census ISBN: 1544355424 ISBN-13(EAN): 9781544355429 Издательство: Sage Publications Рейтинг: Цена: 63360.00 T Наличие на складе: Нет в наличии. Описание: Exploring the U.S. Census gives social science students and researchers the tools to understand, extract, process, and analyze census data, including the American Community Survey and other datasets. This text provides background on the data collection methods, structures, and potential pitfalls for unfamiliar researchers with applied exercises and software walk-throughs.
Автор: Davey, Adam Savla, Jyoti Название: Statistical power analysis with missing data ISBN: 0805863699 ISBN-13(EAN): 9780805863697 Издательство: Taylor&Francis Рейтинг: Цена: 137810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as:
How missing data affects the statistical power in a study
How much power is likely with different amounts and types of missing data
How to increase the power of a design in the presence of missing data, and
How to identify the most powerful design in the presence of missing data.
Points of Reflection encourage readers to stop and test their understanding of the material. Try Me sections test one's ability to apply the material. Troubleshooting Tips help to prevent commonly encountered problems. Exercises reinforce content and Additional Readings provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book's application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus). Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. Routines, data sets, syntax files, and links to student versions of software packages are found at www.psypress.com/davey. The worked examples in Part 2 also provide results from a wider set of estimated models. These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions.
Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book's applied approach will also appeal to researchers in these areas. Sections covering Fundamentals, Applications, and Extensions are designed to take readers from first steps to mastery.
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