IBM SPSS Essentials: Managing and Analyzing Social Sciences Data

Kulas, John T.

  • 出版商: Wiley
  • 出版日期: 2021-03-23
  • 售價: $2,540
  • 貴賓價: 9.5$2,413
  • 語言: 英文
  • 頁數: 304
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1119417422
  • ISBN-13: 9781119417422
  • 相關分類: SPSS
  • 下單後立即進貨 (約1~3週)


Master the fundamentals of SPSS with this newly updated and instructive resource

The newly and thoroughly revised Second Edition of SPSS Essentials delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) for the effective collection, management, and analysis of data. The accomplished researchers and authors provide readers with the practical nuts and bolts of SPSS usage and data entry, with a particular emphasis on managing and manipulating data.

The book offers an introduction to SPSS, how to navigate it, and a discussion of how to understand the data the reader is working with. It also covers inferential statistics, including topics like hypothesis testing, one-sample Z-testing, T-testing, ANOVAs, correlations, and regression. Five unique appendices round out the text, providing readers with discussions of dealing with real-world data, troubleshooting, advanced data manipulations, and new workbook activities.

SPSS Essentials offers a wide variety of features, including:

  • A revised chapter order, designed to match the pacing and content of typical undergraduate statistics classes
  • An explanation of when particular inferential statistics are appropriate for use, given the nature of the data being worked with
  • Additional material on understanding your data sample, including discussions of SPSS output and how to find the most relevant information
  • A companion website offering additional problem sets, complete with answers

Perfect for undergraduate students of the social sciences who are just getting started with SPSS, SPSS Essentials also belongs on the bookshelves of advanced placement high school students and practitioners in social science who want to brush up on the fundamentals of this powerful and flexible software package.


JOHN T. KULAS, PhD, is a Professor of Industrial and Organizational Psychology at Montclair State University in Montclair, NJ, United States.

RENATA GARCIA PRIETO PALACIOS ROJI, MA, is a PhD candidate in Industrial and Organizational Psychology at Montclair State University in Montclair, NJ, United States.

ADAM M. SMITH, PhD, is an associate consultant at Kincentric and adjunct instructor at Wentworth Institute of Technology and Harvard University.