9781544398006-154439800X-Adventures in Social Research: Data Analysis Using IBM SPSS Statistics

Adventures in Social Research: Data Analysis Using IBM SPSS Statistics

ISBN-13: 9781544398006
ISBN-10: 154439800X
Edition: 11th
Author: William E. Wagner, Earl R. Babbie, Jeanne S. Zaino
Publication date: 2022
Publisher: SAGE Publications, Inc
Format: Paperback 536 pages
Category: Sociology
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ISBN-13: 9781544398006
ISBN-10: 154439800X
Edition: 11th
Author: William E. Wagner, Earl R. Babbie, Jeanne S. Zaino
Publication date: 2022
Publisher: SAGE Publications, Inc
Format: Paperback 536 pages
Category: Sociology

Summary

Adventures in Social Research: Data Analysis Using IBM SPSS Statistics (ISBN-13: 9781544398006 and ISBN-10: 154439800X), written by authors William E. Wagner, Earl R. Babbie, Jeanne S. Zaino, was published by SAGE Publications, Inc in 2022. With an overall rating of 3.5 stars, it's a notable title among other Sociology books. You can easily purchase or rent Adventures in Social Research: Data Analysis Using IBM SPSS Statistics (Paperback, Used) from BooksRun, along with many other new and used Sociology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $32.3.

Description

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.

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