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"Quantitative and Statistical Methods"
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The structure and dynamics of cities : urban data analysis and theoretical modeling
\"With over half of the world's population now living in urban areas, the ability to model and understand the structure and dynamics of cities is becoming increasingly valuable. Combining new data with tools and concepts from statistical physics and urban economics, this book presents a modern and interdisciplinary perspective on cities and urban systems. Both empirical observations and theoretical approaches are critically reviewed, with particular emphasis placed on derivations of classical models and results, along with analysis of their limits and validity. Key aspects of cities are thoroughly analyzed, including mobility patterns, the impact of multimodality, the coupling between different transportation modes, the evolution of infrastructure networks, spatial and social organisation, and interactions between cities. Drawing upon knowledge and methods from areas of mathematics, physics, economics and geography, the resulting quantitative description of cities will be of interest to all those studying and researching how to model these complex systems\"-- Provided by publisher.
Book
Money’s importance from the religious perspective
Operational research and finance have natural connections. However, operational research represents a device to be used for catching financial phenomena, and such a device is usually mediated by social norms and corresponding relevant parameters. This paper contributes to this debate by focusing on a particular social norm—namely, religiosity- and its importance to the role of money. Such relationship is here treated under a quantitative perspective. In particular, we provide an econometric-statistic comparison between religion and money importance. The methodological toolkit is tested on high quality empirical data coming from a recent survey of Romanian population involving 842 persons, from the many faiths in the considered country. Specifically, statistical techniques include best fit curves analysis and data cross tabulations are checked using Chi squared test. The distinctions between different religious people beliefs relating to money are discussed. Insights regarding perceptions of different religious denominations are provided. Subsequent effects on entrepreneurship behavior are tested using Logit regression models. Results state that each religion-based segment of population has its own way to understand the importance of money, to promote and to evaluate the power of money, and finally to manage important inter-connections around the money.
Journal Article
Applied Regression Analysis
This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data.
Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. Parts 1 and 2 of the book cover the basics, such as simple linear regression, multiple linear regression, how to interpret the output from statistics programs, significance testing and the key regression assumptions. Part 3 deals with how to practically handle violations of the classical linear regression assumptions, regression modeling for categorical y-variables and instrumental variable (IV) regression. Part 4 puts the various purposes of, or motivations for, regression into the wider context of writing a scholarly report and points to some extensions to related statistical techniques.
This book is written primarily for those who need to do regression analysis in practice, and not only to understand how this method works in theory. The book's accessible approach is recommended for students from across the social sciences.
eBook
Quantitative Studies in Green and Conservation Criminology
iDuring the early development and throughout the short history of green/conservation criminology, limited attention has been directed toward quantitative analyses of relevant environmental crime, law, and justice concerns. While recognizing the importance of establishing a theory and terminology in the early stages of development, this book redresses this imbalance. The work features contributions that undertake empirical quantitative studies of green/conservation crime and justice issues by both conservation and green criminologists. The collection highlights the shared concerns of these groups within important forms of ecological crime and victimization, and illustrates the ways in which these approaches can be undertaken quantitatively. It includes quantitative conservation/green criminological studies that represent the work of well-established scholars in these fields along with studies by scholars whose works are less well-known but who are also contributing to shaping this area of research.
The book presents a valuable contribution to the areas of Green and Conservation Criminology. It will appeal to academics and students working in these areas.
eBook
Indigenous Statistics
In the first book ever published on Indigenous quantitative methodologies, Maggie Walter and Chris Andersen open up a major new approach to research across the disciplines and applied fields. While qualitative methods have been rigorously critiqued and reformulated, the population statistics relied on by virtually all research on Indigenous peoples continue to be taken for granted as straightforward, transparent numbers. This book dismantles that persistent positivism with a forceful critique, then fills the void with a new paradigm for Indigenous quantitative methods, using concrete examples of research projects from First World Indigenous peoples in the United States, Australia, and Canada. Concise and accessible, it is an ideal supplementary text as well as a core component of the methodological toolkit for anyone conducting Indigenous research or using Indigenous population statistics.
eBook
Data Science in Education Using R
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like?
If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a “learn by doing” approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job.
This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
eBook
Doing Academic Research
Doing Academic Research is a concise, accessible, and tightly organized overview of the research process in the humanities, social sciences, and business. Conducting effective scholarly research can seem like a frustrating, confusing, and unpleasant experience. Early researchers often have inconsistent knowledge and experience, and can become overwhelmed – reducing their ability to produce high quality work.
Rather than a book about research, this is a practical guide to doing research. It guides budding researchers along the process of developing an effective workflow, where to go for help, and how to actually complete the project. The book addresses diversity in abilities, interest, discipline, and ways of knowing by focusing not just on the process of conducting any one method in detail, but also on the ways in which someone might choose a research method and conduct it successfully. Finally, it emphasizes accessibility and approachability through real-world examples, key insights, tips, and tricks from active researchers.
This book is a highly useful addition to both content area courses and research methods courses, as well as a practical guide for graduate students and independent scholars interested in publishing their research.
eBook
Routledge International Handbook of Research Methods in Digital Humanities
This book draws on both traditional and emerging fields of study to consider what a grounded definition of quantitative and qualitative research in the Digital Humanities (DH) might mean; which areas DH can fruitfully draw on in order to foster and develop that understanding; where we can see those methods applied; and what the future directions of research methods in Digital Humanities might look like.
Schuster and Dunn map a wide-ranging DH research methodology by drawing on both ‘traditional’ fields of DH study such as text, historical sources, museums and manuscripts, and innovative areas in research production, such as knowledge and technology, digital culture and society and history of network technologies. Featuring global contributions from scholars in the United Kingdom, the United States, Europe and Australia, this book draws together a range of disciplinary perspectives to explore the exciting developments offered by this fast-evolving field.
Routledge International Handbook of Research Methods in Digital Humanities is essential reading for anyone who teaches, researches or studies Digital Humanities or related subjects.
eBook
Dr. Laurie's Introduction to Statistical Methods
First Published in 2017. Routledge is an imprint of Taylor & Francis, an Informa company.
eBook
A-Z of Digital Research Methods
This accessible, alphabetical guide provides concise insights into a variety of digital research methods, incorporating introductory knowledge with practical application and further research implications. A-Z of Digital Research Methods provides a pathway through the often-confusing digital research landscape, while also addressing theoretical, ethical and legal issues that may accompany each methodology.
Dawson outlines 60 chapters on a wide range of qualitative and quantitative digital research methods, including textual, numerical, geographical and audio-visual methods. This book includes reflection questions, useful resources and key texts to encourage readers to fully engage with the methods and build a competent understanding of the benefits, disadvantages and appropriate usages of each method.
A-Z of Digital Research Methods is the perfect introduction for any student or researcher interested in digital research methods for social and computer sciences.
eBook