A Textbook Of Social Sciences
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Author | : Anol Bhattacherjee |
Publisher | : CreateSpace |
Total Pages | : 156 |
Release | : 2012-04-01 |
Genre | : Science |
ISBN | : 9781475146127 |
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.
Author | : Kosuke Imai |
Publisher | : Princeton University Press |
Total Pages | : 464 |
Release | : 2021-03-16 |
Genre | : Political Science |
ISBN | : 0691191093 |
"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"--
Author | : Russell T. Warne |
Publisher | : Cambridge University Press |
Total Pages | : 612 |
Release | : 2020-12-17 |
Genre | : Psychology |
ISBN | : 110889853X |
The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.
Author | : Elena Llaudet |
Publisher | : Princeton University Press |
Total Pages | : 256 |
Release | : 2022-11-29 |
Genre | : Computers |
ISBN | : 0691199434 |
"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"--
Author | : Ashley T. Rubin |
Publisher | : Stanford University Press |
Total Pages | : 398 |
Release | : 2021-08-03 |
Genre | : Social Science |
ISBN | : 1503628248 |
Unlike other athletes, the rock climber tends to disregard established norms of style and technique, doing whatever she needs to do to get to the next foothold. This figure provides an apt analogy for the scholar at the center of this unique book. In Rocking Qualitative Social Science, Ashley Rubin provides an entertaining treatise, corrective vision, and rigorously informative guidebook for qualitative research methods that have long been dismissed in deference to traditional scientific methods. Recognizing the steep challenges facing many, especially junior, social science scholars who struggle to adapt their research models to narrowly defined notions of "right," Rubin argues that properly nourished qualitative research can generate important, creative, and even paradigm-shifting insights. This book is designed to help people conduct good qualitative research, talk about their research, and evaluate other scholars' work. Drawing on her own experiences in research and life, Rubin provides tools for qualitative scholars, synthesizes the best advice, and addresses the ubiquitous problem of anxiety in academia. Ultimately, this book argues that rigorous research can be anything but rigid.
Author | : Noel A. Card |
Publisher | : Guilford Publications |
Total Pages | : 401 |
Release | : 2015-10-06 |
Genre | : Psychology |
ISBN | : 1462525008 |
Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ΓΏ
Author | : Craig Calhoun |
Publisher | : Oxford University Press |
Total Pages | : 582 |
Release | : 2002-05-02 |
Genre | : Social Science |
ISBN | : 0199771200 |
Featuring over 1,800 concise definitions of key terms, the Dictionary of the Social Sciences is the most comprehensive, authoritative single-volume work of its kind. With coverage on the vocabularies of anthropology, sociology, political science, economics, human geography, cultural studies, and Marxism, the Dictionary is an integrated, easy-to-use, A-to-Z reference tool. Designed for students and non-specialists, it examines classic and contemporary scholarship including basic terms, concepts, theories, schools of thought, methodologies, issues, and controversies. As a true dictionary, it also contains concise, jargon-free definitions that explain the rich, sometimes complex language of these increasingly visible fields.
Author | : Daniel Stockemer |
Publisher | : Springer |
Total Pages | : 185 |
Release | : 2018-11-19 |
Genre | : Social Science |
ISBN | : 3319991183 |
This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
Author | : Gerard Delanty |
Publisher | : U of Minnesota Press |
Total Pages | : 180 |
Release | : 1997 |
Genre | : Social Science |
ISBN | : 9780816631278 |
It is argued that the conception of social science emerging today is one that involves a synthesis of radical constructivism and critical realism. The crucial challenge facing social science is a question of its public role: growing reflexivity in society has implications for the social production of knowledge and is bringing into question the separation of expert systems from other forms of knowledge.
Author | : Michael Martin |
Publisher | : MIT Press |
Total Pages | : 818 |
Release | : 1994 |
Genre | : History |
ISBN | : 9780262631518 |
the first comprehensive anthology in the philosophy of social science to appear since the late 1960s