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Classification In Social Research
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Author :Ramkrishna Mukherjee Publisher :State University of New York Press ISBN 13 :1438413785 Total Pages :270 pages Book Rating :4.4/5 (384 download)
Book Synopsis Classification in Social Research by : Ramkrishna Mukherjee
Download or read book Classification in Social Research written by Ramkrishna Mukherjee and published by State University of New York Press. This book was released on 1984-06-30 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important work is addressed to all researchers concerned with classification. It shows the serious limits of the traditional form of analytical classification. The solution it proposes, the inductive population approach, considers all possible cross-classifications in regard to attributes of the phenomena. This approach is theoretically grounded, avoids the tendency to generate excessively abstract constructs, and provides a clear way of linking empirical data with theoretically meaningful attributes of social systems. The last section of the book applies the method to kinship structures.
Book Synopsis Typologies and Taxonomies by : Kenneth D. Bailey
Download or read book Typologies and Taxonomies written by Kenneth D. Bailey and published by SAGE. This book was released on 1994-06-13 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do we group different subjects on a variety of variables? Should we use a classification procedure in which only the concepts are classified (typology), one in which only empirical entities are classified (taxonomy), or some combination of both? In this clearly written book, Bailey addresses these questions and shows how classification methods can be used to improve research. Beginning with an exploration of the advantages and disadvantages of classification procedures including those typologies that can be constructed without the use of a computer, the book covers such topics as clustering procedures (including agglomerative and divisive methods), the relationship among various classification techniques (including the relationship of monothetic, qualitative typologies to polythetic, quantitative taxonomies), a comparison of clustering methods and how these methods compare with related statistical techniques such as factor analysis, multidimensional scaling and systems analysis, and lists classification resources. This volume also discusses software packages for use in clustering techniques.
Book Synopsis Social Science Research by : Anol Bhattacherjee
Download or read book Social Science Research written by Anol Bhattacherjee and published by CreateSpace. This book was released on 2012-04-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Data Science and Social Research by : N. Carlo Lauro
Download or read book Data Science and Social Research written by N. Carlo Lauro and published by Springer. This book was released on 2017-11-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.
Book Synopsis A Researcher's Guide to the National Statistics Socio-economic Classification by : David Rose
Download or read book A Researcher's Guide to the National Statistics Socio-economic Classification written by David Rose and published by SAGE Publications Limited. This book was released on 2003-07-29 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces researchers to all aspects of the new classification. In particular, it: - Fully describes the NS-SEC and elucidates its conceptual basis - Guides readers in how the NS-SEC has been validated as a measure - Evaluates how well NS-SEC works in describing and explaining the relationships between social class and key health and employment variables - Demonstrates the applications of NS-SEC in research
Book Synopsis The SAGE Encyclopedia of Social Science Research Methods by : Michael Lewis-Beck
Download or read book The SAGE Encyclopedia of Social Science Research Methods written by Michael Lewis-Beck and published by SAGE. This book was released on 2004 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring over 900 entries, this resource covers all disciplines within the social sciences with both concise definitions & in-depth essays.
Book Synopsis Basic Content Analysis by : Robert Philip Weber
Download or read book Basic Content Analysis written by Robert Philip Weber and published by SAGE. This book was released on 1990 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition has been completely updated to include new studies, new computer applications and an additional chapter on problems and issues that can arise when carrying out content analysis in four major categories: measurement, indication, representation and interpretation.
Book Synopsis The National Statistics Socio-Economic Classification: User Guide by : Office for National Statistics
Download or read book The National Statistics Socio-Economic Classification: User Guide written by Office for National Statistics and published by Palgrave Macmillan. This book was released on 2005-11-29 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: This user manual describes in detail the National Statistics Socio-Economic Classification (NS-SEC), the standard UK government classification, which was rebased following changes to the Standard Occupation Classification (SOC) in 2000, and gives practical advice on using it to derive classifications. The main chapters describe the classes and general principles for deriving classifications and the appendices contain detailed derivation tables explaining how each category is derived from SOC and employment status.
Book Synopsis The Behavioral and Social Sciences by : National Research Council
Download or read book The Behavioral and Social Sciences written by National Research Council and published by National Academies Press. This book was released on 1988-02-01 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.
Book Synopsis Principles of Methodology by : Perri 6
Download or read book Principles of Methodology written by Perri 6 and published by SAGE. This book was released on 2011-10-17 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive, accessible guide to social science methodology. In so doing, it establishes methodology as distinct from both methods and philosophy. Most existing textbooks deal with methods, or sound ways of collecting and analysing data to generate findings. In contrast, this innovative book shows how an understanding of methodology allows us to design research so that findings can be used to answer interesting research questions and to build and test theories. Most important things in social research (e.g., beliefs, institutions, interests, practices and social classes) cannot be observed directly. This book explains how empirical research can nevertheless be designed to make sound inferences about their nature, effects and significance. The authors examine what counts as good description, explanation and interpretation, and how they can be achieved by striking intelligent trade-offs between competing design virtues. Coverage includes: • why methodology matters; • what philosophical arguments show us about inference; • competing virtues of good research design; • purposes of theory, models and frameworks; • forming researchable concepts and typologies; • explaining and interpreting: inferring causation, meaning and significance; and • combining explanation and interpretation. The book is essential reading for new researchers faced with the practical challenge of designing research. Extensive examples and exercises are provided, based on the authors′ long experience of teaching methodology to multi-disciplinary groups. Perri 6 is Professor of Social Policy in the Graduate School in the College of Business, Law and Social Sciences at Nottingham Trent University. Chris Bellamy is Emeritus Professor of Public Administration in the Graduate School, Nottingham Trent University.
Book Synopsis Natural Categories and Human Kinds by : Muhammad Ali Khalidi
Download or read book Natural Categories and Human Kinds written by Muhammad Ali Khalidi and published by Cambridge University Press. This book was released on 2013-05-16 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The notion of 'natural kinds' has been central to contemporary discussions of metaphysics and philosophy of science. Although explicitly articulated by nineteenth-century philosophers like Mill, Whewell and Venn, it has a much older history dating back to Plato and Aristotle. In recent years, essentialism has been the dominant account of natural kinds among philosophers, but the essentialist view has encountered resistance, especially among naturalist metaphysicians and philosophers of science. Informed by detailed examination of classification in the natural and social sciences, this book argues against essentialism and for a naturalist account of natural kinds. By looking at case studies drawn from diverse scientific disciplines, from fluid mechanics to virology and polymer science to psychiatry, the author argues that natural kinds are nodes in causal networks. On the basis of this account, he maintains that there can be natural kinds in the social sciences as well as the natural sciences.
Book Synopsis Model-Based Clustering and Classification for Data Science by : Charles Bouveyron
Download or read book Model-Based Clustering and Classification for Data Science written by Charles Bouveyron and published by Cambridge University Press. This book was released on 2019-07-25 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.
Book Synopsis Classification and Data Analysis by : Krzysztof Jajuga
Download or read book Classification and Data Analysis written by Krzysztof Jajuga and published by Springer Nature. This book was released on 2020-08-28 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18–20, 2019. Providing a balance between theoretical and methodological contributions and empirical papers, it covers a broad variety of topics, ranging from multivariate data analysis, classification and regression, symbolic (and other) data analysis, visualization, data mining, and computer methods to composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.
Book Synopsis Data Science and Social Research II by : Paolo Mariani
Download or read book Data Science and Social Research II written by Paolo Mariani and published by Springer Nature. This book was released on 2020-11-25 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: The peer-reviewed contributions gathered in this book address methods, software and applications of statistics and data science in the social sciences. The data revolution in social science research has not only produced new business models, but has also provided policymakers with better decision-making support tools. In this volume, statisticians, computer scientists and experts on social research discuss the opportunities and challenges of the social data revolution in order to pave the way for addressing new research problems. The respective contributions focus on complex social systems and current methodological advances in extracting social knowledge from large data sets, as well as modern social research on human behavior and society using large data sets. Moreover, they analyze integrated systems designed to take advantage of new social data sources, and discuss quality-related issues. The papers were originally presented at the 2nd International Conference on Data Science and Social Research, held in Milan, Italy, on February 4-5, 2019.
Book Synopsis Classification in the Wild by : Konstantinos V. Katsikopoulos
Download or read book Classification in the Wild written by Konstantinos V. Katsikopoulos and published by MIT Press. This book was released on 2021-02-02 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty. This book focuses on classification--allocating objects into categories--"in the wild," in real-world situations and far from the certainty of the lab. In the wild, unlike in typical psychological experiments, the future is not knowable and uncertainty cannot be meaningfully reduced to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification rules that are simple, fast, and transparent and that can be as accurate as mathematically sophisticated algorithms developed for machine learning.
Book Synopsis Constructing Social Research by : Charles C. Ragin
Download or read book Constructing Social Research written by Charles C. Ragin and published by SAGE Publications. This book was released on 2018-03-30 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Constructing Social Research answers the question: What is social science? Updated throughout with new references and examples, the Third Edition of this innovative text by Charles C. Ragin and Lisa M. Amoroso shows the unity within the diversity of activities called social research to help students understand how all social researchers construct representations of social life using theories, systematic data collection, and careful examination of that data.
Book Synopsis Social Network Data Analytics by : Charu C. Aggarwal
Download or read book Social Network Data Analytics written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2011-03-18 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
