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This workbook will be invaluable for students across the social sciences who need to learn how to analyze discourse. Using a step-by-step approach, students are introduced to the principal range of methods for analyzing different types of text, taken through key analytic concepts, offered specimen analyses and given the opportunity to try out analytic concepts on new data.
Discourse as Data is organized around eight chapters, six of which are related to the domains covered in the Reader, and top and tailed by two chapters which set up common methodological issues in discourse research relevant to all approaches (such as transcription and the application and the critical evaluation of discourse research).
This workbook will be invaluable for students across the social sciences who need to learn how to analyze discourse. Using a step-by-step approach, students are introduced to the principal range of methods for analyzing different types of text, taken through key analytic concepts, offered specimen
Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material, this edition concentrates more on hierarchical Bayesian
This book guides librarians in defining and marketing their services, covering topics such as co-authorship, stakeholders, developing documentation and conducting the reference interview, systematic reviews standards, search strategy techniques, and best practices for reporting the
A practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials
Designed to work as a first introduction to numerical analysis and numerical methods for undergraduate students, the authors have utilized their wide experience of teaching these subjects by incorporating the small details that a beginner might find difficult to understand. The book takes the
Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data
Praise for the Second Edition 'A must-have book for anyone expecting to do research and/or applications in categorical data analysis. ' Statistics in Medicine 'It is a total delight reading this
This book is meant as a text for a first year graduate course in analysis. Any standard course in undergraduate analysis will constitute sufficient preparation for its understanding, for instance, my Undergraduate Anal- ysis. I assume that the reader is acquainted with notions of uniform con-
N3xt Practices identifies technology-based initiatives, such as Interactive White Boards, Data Centers, and 1-to-1 Computing, and reviews actual implementations and case studies - both successful and unsuccessful - to provide a structure to plan and implement educational technology initiatives
For the church fathers the Gospels did not serve as resources for individual analysis and academic study. They were read and heard and interpreted within the worshiping community. They served as sources for pastoral counsel and admonition for those who were committed to the Way. Although Matthew
A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers
An essential guide to improving preliminary geotechnical analysis and design from limited data Soil Properties and their Correlations, Second Edition provides a summary of commonly-used soil engineering properties and gives a wide range of correlations between the various properties, presented in
Augmenting Network Analysis with Linked Data for Humanities Research.- A Memorial Design Pattern Catalogue for commemorative digital culture.- Annotation in Digital Humanities.- Establishment of a complex database for the study of cultural her-itage through the reading and analysis of the
An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and
As there is a need for careful analysis in a world where threats are growing more complex and serious, you need the tools to ensure that sensible methods are employed and correlated directly to risk. Counter threats such as terrorism, fraud, natural disasters, and information theft with the Fourth
Practical guidance for wildlife professionals working to improve study design, data analysis, and the application of results to habitat and population management.Winner of the Wildlife Society Publications Book Award by The Wildlife SocietyDespite major advances in sampling techniques and
Racecar data acquisition used to be limited to well-funded teams in high-profile championships. Today, the cost of electronics has decreased dramatically, making them available to everyone. But the cost of any data acquisition system is a waste of money if the recorded data is not interpreted
Few modern women have had as great a political impact as Margaret Hilda Roberts, the grocer's daughter from Grantham who, as Margaret Thatcher, became Britain's first woman prime minister. The longest serving British premier of the twentieth century, Thatcher has been the subject of both adulation
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for modern data analysis. In particular, this book was designed and written as preparation for students planning to take rigorous Machine Learning and Data
How to use nonlinear dynamic models in policy analysis.Policymakers need quantitative as well as qualitative answers to pressing policy questions. Because of advances in computational methods, quantitative estimates are now derived from coherent nonlinear dynamic macroeconomic models embodying
This book introduces experimental design and data analysis / interpretation as well as field monitoring skills for both plants and animals. Clearly structured throughout and written in a student-friendly manner, the main emphasis of the book concentrates on the techniques required to design a field
See How Graphics Reveal InformationGraphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages
The State of the Art in Transcriptome Analysis RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine