Data Analysis for Social Science

Data Analysis for Social Science PDF

Author: Elena Llaudet

Publisher: Princeton University Press

Published: 2022-11-29

Total Pages: 256

ISBN-13: 0691199434

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"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

Research on Humanities and Social Sciences

Research on Humanities and Social Sciences PDF

Author: Hasan Arslan

Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften

Published: 2016

Total Pages: 0

ISBN-13: 9783631675014

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This book presents a collection of papers written by educators and researchers. The topics include the analysis of social science textbooks, the teacher image in newspapers, the relationship between self-efficacy and cognitive level and the role of organizational silence on the loneliness of academics in work life.

Social Science Research

Social Science Research PDF

Author: Anol Bhattacherjee

Publisher: CreateSpace

Published: 2012-04-01

Total Pages: 156

ISBN-13: 9781475146127

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This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences

Tracing the Life Cycle of Ideas in the Humanities and Social Sciences PDF

Author: Arjuna Tuzzi

Publisher: Springer

Published: 2018-10-30

Total Pages: 217

ISBN-13: 331997064X

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This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS). The book focuses on learning about the evolution of ideas of HSS disciplines through a distant reading of the contents conveyed by scientific literature, in order to retrieve the most relevant topics being debated over time. Quantitative methods, statistical techniques and software packages are used to identify and study the main subject matters of a discipline from raw textual data, both in the past and today. The book also deals with the concept of quality of life of words and aims to foster a discussion about the life cycle of scientific ideas. Textual data retrieved from large corpora pose interesting challenges for any data analysis method and today represent a growing area of research in many fields. New problems emerge from the growing availability of large databases and new methods are needed to retrieve significant information from those large information sources. This book can be used to explain how quantitative methods can be part of the research instrumentation and the "toolbox" of scholars of Humanities and Social Sciences. The book contains numerous examples and a description of the main methods in use, with references to literature and available software. Most of the chapters of the book have been written in a non-technical language for HSS researchers without mathematical, computer or statistical backgrounds.

Challenging Ideas

Challenging Ideas PDF

Author: Maren Lytje

Publisher: Cambridge Scholars Publishing

Published: 2016-01-14

Total Pages: 210

ISBN-13: 1443887374

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Challenging Ideas is a selection of articles which address the intersections between theory and empirical research. In general, the contributions to the volume focus on how imaginations of the temporal relationship between past and present might inform theory as well as empirical research. It is divided into two parts, the first of which, Memory, looks at the memory turn in the discipline of history, and includes investigations into the relationship between past and present in the working through of trauma and reflections on the relationship between media memory, collective memory and trauma. The second part of the volume, History looks at the intersections between social science, political theory and the writing of history. This section includes reflections on how the historian’s archival work might inform the construction of social and political theory and explorations of the temporal relationship between past and present at work in the archives. The contributions to this volume encourage historically oriented scholars to approach their work with an active interest in disciplines close to their topic and a reflexive attentiveness to the broader power relations within which they work. They offer different perspectives on the intrinsic relationship between past and present at work in the interactions between theory and empirical research, and thereby give impetus to challenging ideas and to the challenging of ideas in the social sciences and in the humanities.

Advances in Self-Organizing Maps and Learning Vector Quantization

Advances in Self-Organizing Maps and Learning Vector Quantization PDF

Author: Thomas Villmann

Publisher: Springer

Published: 2014-06-10

Total Pages: 314

ISBN-13: 3319076957

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The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences Mittweida, Mittweida (Germany, Saxony), on July 2–4, 2014. Starting with the first WSOM-workshop 1997 in Helsinki this workshop focuses on newest results in the field of supervised and unsupervised vector quantization like self-organizing maps for data mining and data classification. This 10th WSOM brought together more than 50 researchers, experts and practitioners in the beautiful small town Mittweida in Saxony (Germany) nearby the mountains Erzgebirge to discuss new developments in the field of unsupervised self-organizing vector quantization systems and learning vector quantization approaches for classification. The book contains the accepted papers of the workshop after a careful review process as well as summaries of the invited talks. Among these book chapters there are excellent examples of the use of self-organizing maps in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis and time series analysis. Other chapters present the latest theoretical work on self-organizing maps as well as learning vector quantization methods, such as relating those methods to classical statistical decision methods. All the contribution demonstrate that vector quantization methods cover a large range of application areas including data visualization of high-dimensional complex data, advanced decision making and classification or data clustering and data compression.

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