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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.
This book is the outcome of a long felt desire to have a very simple book for the research students of Social Sciences (Economics, Sociology, Political Science, Public Adminstration, etc.).
This book explores the analysis of social phenomena, using a multidisciplinary approach while addressing statistical, economic, sociological, as well as psychological issues. The author presents a detailed account of the procedures and techniques used to gather, process, and analyze data. Topics covered include, but are not limited to survey data, content analysis data, data visualization, as well as data about crimes. The book addresses this methodological framework that drives applied social sciences in an applicative and simple way, by analyzing key social phenomena such as the threats to journalism, the so-called chilling effect, and the market for news. Finally, the author examines the data and measures of the recent COVID-19 pandemic. This book is a must-read for everybody interested in a better understanding of the methodological analysis of social phenomena, social and political methodology, and applied science in general.
An Irish quarterly review.
This textbook is designed to bridge the gap between the theorist and the methodologist by presenting an integrated approach to measurement. By differentiating between random and systematic error, it conveys both statistical techniques and their theoretical underpinnings essential to students of sociology and political science. Rather than developing new technical methods of new theoretical structures, Professors Zeller and Carmines provide thorough explanations of the assumptions, limitations and interpretations of previously established techniques and theories. Written at a level accessible to students of social science with some statistical training, the book does not presume a sophisticated mathematical background. By concentrating on synthesizing the methodological and theoretical realms, Zeller and Carmines demonstrate why measurement considerations are important to research and how measurement principles can be most effectively applied.