Adventures In Social Research

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Proud sponsor of the 2019 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop. Recipient of the 2018 Cornerstone Author Award! Inspire students to pursue their own adventures in social research with this practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics offers a practical, hands-on introduction to the logic of social science research for students in many disciplines. The fully revised Tenth Edition offers step-by-step instruction on data analysis using the latest version (24.0) of SPSS and current data from the General Social Survey. Organized to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. The range of topics, from beginning to advanced, make Adventures in Social Research appropriate for both undergraduate and graduate courses. For students who are using SPSS for the first time, the free online study site includes video tutorials on basic procedures and operations and includes all SPSS data sets necessary for completing the exercises in the book. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

Distilling decades of work spanning their prestigious careers, Mary M. and Kenneth J. Gergen make a strong case for enriching the social sciences through performative work. They present a unique exploration of the origins of performative social science and provide an intellectually rich overview of its significance in the field, as well as its evolving potential. Many of their own performance pieces are included in the volume. The authors envision a broadening of the social sciences, making it more accessible to non-experts and opening up new dialogues between society and science—and changing the world in the process. Social scientists and researchers will gain a valuable new perspective from this insightful tome.

Written by esteemed social science research authors Earl R. Babbie, William E. Wagner, and Jeanne Zaino, Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics, Ninth Edition encourages students to practice SPSS as they read about it, providing a practical, hands-on introduction to conceptualization, measurement, and association through active learning. This fully revised workbook will guide students through step-by-step instruction on data analysis using the latest version of SPSS and the most up to date General Social Survey data. Arranged to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. In this revised edition, active and collaborative learning will be emphasized as students engage in a series of practical investigative exercises.

From the names of cruise lines and bookstores to an Australian ranch and a nudist camp outside of Atlanta, the word serendipity--that happy blend of wisdom and luck by which something is discovered not quite by accident--is today ubiquitous. This book traces the word's eventful history from its 1754 coinage into the twentieth century--chronicling along the way much of what we now call the natural and social sciences. The book charts where the term went, with whom it resided, and how it fared. We cross oceans and academic specialties and meet those people, both famous and now obscure, who have used and abused serendipity. We encounter a linguistic sage, walk down the illustrious halls of the Harvard Medical School, attend the (serendipitous) birth of penicillin, and meet someone who "manages serendipity" for the U.S. Navy. The story of serendipity is fascinating; that of The Travels and Adventures of Serendipity, equally so. Written in the 1950s by already-eminent sociologist Robert Merton and Elinor Barber, the book--though occasionally and most tantalizingly cited--was intentionally never published. This is all the more curious because it so remarkably anticipated subsequent battles over research and funding--many of which centered on the role of serendipity in science. Finally, shortly after his ninety-first birthday, following Barber's death and preceding his own by but a little, Merton agreed to expand and publish this major work. Beautifully written, the book is permeated by the prodigious intellectual curiosity and generosity that characterized Merton's influential On the Shoulders of Giants. Absolutely entertaining as the history of a word, the book is also tremendously important to all who value the miracle of intellectual discovery. It represents Merton's lifelong protest against that rhetoric of science that defines discovery as anything other than a messy blend of inspiration, perspiration, error, and happy chance--anything other than serendipity.

Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics is the perfect companion for students who are learning to use SPSS® software to interpret and manage data within their social statistics and/or research methods courses. Both first-time and more experienced SPSS® users will appreciate author William E. Wagner, III’s step-by-step explanations of SPSS® operating procedures and introductory statistical operations. The Seventh Edition reflects SPSS® Version 25.0 and incorporates the latest results from the General Social Survey (GSS) as a secondary data set. Using examples, tables, and actual SPSS® screen captures, it guides users through several different kinds of SPSS® files including data files, output files, and syntax files.

This text provides a practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Students get step-by-step instruction on data analysis using the latest version of SPSS and the most current General Social Survey data. The text starts with an introduction to computerized data analysis and the social research process, then walks users through univariate, bivariate, and multivariate analysis using SPSS. The book contains applications from across the social sciences--sociology, political science, social work, criminal justice, health--so it can be used in courses offered in any of these departments. The Eleventh Edition uses the latest general Social Survey (GSS) data, and the latest available version of SPSS. The GSS datasets now offer additional variables for more possibilities in the demonstrations and exercises within each chapter.

This book provides insights into the true nature of financial and economic data, and is a practical guide on how to analyze a variety of data sources. The focus of the book is on finance and economics, but it also illustrates the use of quantitative analysis and data science in many different areas. Lastly, the book includes practical information on how to store and process data and provides a framework for data driven reasoning about the world.The book begins with entertaining tales from Graham Giller's career in finance, starting with speculating in UK government bonds at the Oxford Post Office, accidentally creating a global instant messaging system that went 'viral' before anybody knew what that meant, on being the person who forgot to hit 'enter' to run a hundred-million dollar statistical arbitrage system, what he decoded from his brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.The majority of the content is a narrative of analytic work done on financial, economics, and alternative data, structured around both Dr Giller's professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as 'The Pleasure of Finding Things Out.'