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Social Science Data File Directory
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Book Synopsis Social Science Data File Directory by :
Download or read book Social Science Data File Directory written by and published by . This book was released on 1975 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Directory of Data Bases in the Social and Behavioral Sciences by : Vivian S. Sessions
Download or read book Directory of Data Bases in the Social and Behavioral Sciences written by Vivian S. Sessions and published by . This book was released on 1974 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: International listing of computer data bases and their data components. Alphabetical arrangement by institutions or agencies. Entries include address, telephone number, persons in charge, subject, details about the computer, storage media, output media, data products, and access information. Indexes by subject, institution, personnel, and geographical location.
Book Synopsis A Directory of Information Resources in the United States by : National Referral Center (U.S.)
Download or read book A Directory of Information Resources in the United States written by National Referral Center (U.S.) and published by . This book was released on 1965 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Social Science Data Archives in the United States, 1967 by :
Download or read book Social Science Data Archives in the United States, 1967 written by and published by . This book was released on 1967 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Directory of Computerized Data Files by :
Download or read book A Directory of Computerized Data Files written by and published by . This book was released on 1988 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data User News written by and published by . This book was released on 1975 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Directory of Information Resources in the United States: Social Sciences by : National Referral Center for Science and Technology (U.S.)
Download or read book A Directory of Information Resources in the United States: Social Sciences written by National Referral Center for Science and Technology (U.S.) and published by . This book was released on 1965 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Quantitative Social Science Data with R by : Brian J. Fogarty
Download or read book Quantitative Social Science Data with R written by Brian J. Fogarty and published by SAGE. This book was released on 2018-11-24 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: "One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on ′real world′ examples which help students to understand why they are learning these methods." - Dr Roxanne Connelly, University of York Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work. At a student-friendly pace, it enables you to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives you not only the tools you need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what you have learned.
Book Synopsis A Directory of Information Resources in the United States by :
Download or read book A Directory of Information Resources in the United States written by and published by . This book was released on 1965 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Directory of Computerized Data Files 1989 by : Kathleen Thacker
Download or read book Directory of Computerized Data Files 1989 written by Kathleen Thacker and published by . This book was released on 1989 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Guide to Selected Data Bases in Postsecondary Education by : David J. Makowski
Download or read book A Guide to Selected Data Bases in Postsecondary Education written by David J. Makowski and published by . This book was released on 1980 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Using R for Data Analysis in Social Sciences by : Quan Li
Download or read book Using R for Data Analysis in Social Sciences written by Quan Li and published by Oxford University Press. This book was released on 2018 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
Book Synopsis Social Media as Social Science Data by : Steven Lloyd Wilson
Download or read book Social Media as Social Science Data written by Steven Lloyd Wilson and published by Cambridge University Press. This book was released on 2022-11-17 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity, and transform social media's vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one's own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.
Book Synopsis Handbook of Computational Social Science, Volume 2 by : Uwe Engel
Download or read book Handbook of Computational Social Science, Volume 2 written by Uwe Engel and published by Routledge. This book was released on 2021-11-10 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.
Book Synopsis Data Analysis for Social Science by : Elena Llaudet
Download or read book Data Analysis for Social Science written by Elena Llaudet and published by Princeton University Press. This book was released on 2022-11-29 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--
Book Synopsis Quantitative Social Science by : Kosuke Imai
Download or read book Quantitative Social Science written by Kosuke Imai and published by Princeton University Press. This book was released on 2021-03-16 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--
Book Synopsis Applied Regression Models in the Social Sciences by : Dudley L. Poston, Jr
Download or read book Applied Regression Models in the Social Sciences written by Dudley L. Poston, Jr and published by Cambridge University Press. This book was released on 2023-08-17 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible and practical textbook gives students the perfect guide to the use of regression models in testing and evaluating hypotheses dealing with social relationships. A range of statistical methods suited to a wide variety of dependent variables is explained, which will allow students to read, understand, and interpret complex statistical analyses of social data. Each chapter contains example applications using relevant statistical methods in both Stata and R, giving students direct experience of applying their knowledge. A full suite of online resources - including statistical command files, datasets and results files, homework assignments, class discussion topics, PowerPoint slides, and exam questions - supports the student to work independently with the data, and the instructor to deliver the most effective possible course. This is the ideal textbook for advanced undergraduate and beginning graduate students taking courses in applied social statistics.