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Analyzing Social Science Data

Analyzing Social Science Data PDF Author: Professor David de Vaus
Publisher: SAGE
ISBN: 9781446226100
Category :
Languages : en
Pages : 402

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Book Description
In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field. Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables; problems examining bivariate relationships; and problems examining multivariate relationships The book is a "tour de force" in making data analysis manageable and rewarding for today's undergraduate studying research methods. I'm full of admiration for this book. Once again, David de Vaus has come up with a superb book that is well written and organized and which will be a boon to a wide range of students. He has taken a vast array of problems that users of quantitative data analysis procedures are likely to encounter. The selection of issues and problems ... reflects the experience of a true practitioner with a grasp of his field and of the intricacies of the research process. The selection of issues clearly derives also from experience of teaching students how to do research and analyse data....A large number of practitioners will want the book. I was surprised at how much I learned from this. This will be a vital book for the bookshelves of practitioners of the craft of quantitative data analysis' - "Alan Bryman, Professor of Social Research, Loughborough University

Analyzing Social Science Data

Analyzing Social Science Data PDF Author: Professor David de Vaus
Publisher: SAGE
ISBN: 9781446226100
Category :
Languages : en
Pages : 402

View

Book Description
In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field. Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables; problems examining bivariate relationships; and problems examining multivariate relationships The book is a "tour de force" in making data analysis manageable and rewarding for today's undergraduate studying research methods. I'm full of admiration for this book. Once again, David de Vaus has come up with a superb book that is well written and organized and which will be a boon to a wide range of students. He has taken a vast array of problems that users of quantitative data analysis procedures are likely to encounter. The selection of issues and problems ... reflects the experience of a true practitioner with a grasp of his field and of the intricacies of the research process. The selection of issues clearly derives also from experience of teaching students how to do research and analyse data....A large number of practitioners will want the book. I was surprised at how much I learned from this. This will be a vital book for the bookshelves of practitioners of the craft of quantitative data analysis' - "Alan Bryman, Professor of Social Research, Loughborough University

Quantitative Social Science

Quantitative Social Science PDF Author: Kosuke Imai
Publisher: Princeton University Press
ISBN: 0691191298
Category : Social Science
Languages : en
Pages : 472

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Book Description
The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

The Analysis and Interpretation of Multivariate Data for Social Scientists

The Analysis and Interpretation of Multivariate Data for Social Scientists PDF Author: J.I. Galbraith
Publisher: CRC Press
ISBN: 9781584882954
Category : Mathematics
Languages : en
Pages : 280

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Book Description
Multivariate analysis is an important tool for social researchers, but the subject is broad and can be quite technical for those with limited mathematical and statistical backgrounds. To effectively acquire the tools and techniques they need to interpret multivariate data, social science students need clear explanations, a minimum of mathematical detail, and a wide range of exercises and worked examples. Classroom tested for more than 10 years, The Analysis and Interpretation of Multivariate Data for Social Scientists describes and illustrates methods of multivariate data analysis important to the social sciences. The authors focus on interpreting the pattern of relationships among many variables rather than establishing causal linkages, and rely heavily on numerical examples, visualization, and on verbal , rather than mathematical exposition. They present methods for categorical variables alongside the more familiar method for continuous variables and place particular emphasis on latent variable techniques. Ideal for introductory, senior undergraduate and graduate-level courses in multivariate analysis for social science students, this book combines depth of understanding and insight with the practical details of how to carry out and interpret multivariate analyses on real data. It gives them a solid understanding of the most commonly used multivariate methods and the knowledge and tools to implement them. Datasets, the SPSS syntax and code used in the examples, and software for performing latent variable modelling are available at http://www.mlwin.com/team/aimdss.html>

Analyzing Social Settings

Analyzing Social Settings PDF Author: John Lofland
Publisher: Wadsworth Publishing Company
ISBN:
Category : Qualitative research
Languages : en
Pages : 267

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Book Description
Starting where you are - Evaluating data sites - Getting in - Getting along - Logging data - Thinking topics - Asking questions - Arousing interest - Developing analysis - Writing reports.

Introducing Data Analysis for Social Scientists

Introducing Data Analysis for Social Scientists PDF Author: David Rose
Publisher:
ISBN: 9780335097081
Category : Social Science
Languages : en
Pages : 203

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Regression Analysis for the Social Sciences

Regression Analysis for the Social Sciences PDF Author: Rachel A. Gordon
Publisher: Routledge
ISBN: 1317607112
Category : Social Science
Languages : en
Pages : 566

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Book Description
Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: •interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. •thorough integration of teaching statistical theory with teaching data processing and analysis. •teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

Data Science and Social Research

Data Science and Social Research PDF Author: N. Carlo Lauro
Publisher: Springer
ISBN: 3319554778
Category : Social Science
Languages : en
Pages : 300

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Book Description
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.

Data Analysis for Social Scientists

Data Analysis for Social Scientists PDF Author: Lawrence C. Hamilton
Publisher: Brooks/Cole
ISBN:
Category : Social Science
Languages : en
Pages : 436

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Book Description
Data Analysis for Social Scientists will supply you with the necessary background and instruction to begin applying statistics to research, helping you learn to draw reasonable conclusions about data. This book stresses the practical application of statistics, rather than mathematical theory. Through the analysis of real data - supplied for you on the book's data disk - you will develop the critical thinking skills needed to apply statistical analysis to social science research. Data Analysis for Social Scientists also demonstrates the important role computers play in modern statistics. Many computer examples allow you to practice the methods researchers use to manipulate data, and help you learn how to use and interpret statistics, without the hassles of hand calculation.

Analyzing Social Science Data

Analyzing Social Science Data PDF Author: Nancy A. Holden
Publisher:
ISBN: 9780891430926
Category : Social sciences
Languages : en
Pages : 96

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Social Science Data Archives in the United States, 1967

Social Science Data Archives in the United States, 1967 PDF Author: Council of Social Science Data Archives (U.S.)
Publisher: New York
ISBN:
Category : Information services
Languages : en
Pages : 56

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Book Description