Data Analysis with SPSS : A First Course in Applied Statistics

by ;
  • ISBN13:


  • ISBN10:


  • Edition: 3rd
  • Format: Paperback
  • Copyright: 2008-01-01
  • Publisher: Allyn & Bacon
  • View Upgraded Edition
  • Purchase Benefits
  • Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $72.60


Data Analysis with SPSSis designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today. Written in ten manageable chapters, this book first introduces students to the approach researchers use to frame research questions and the logic of establishing causal relations. Students are then oriented to the SPSS program and how to examine data sets. Subsequent chapters guide them through univariate analysis, bivariate analysis, graphic analysis, and multivariate analysis. Students conclude their course by learning how to write a research report and by engaging in their own research project. Each book is packaged with a disk containing the GSS (General Social Survey) file and the States data files.The GSS file contains 100 variables generated from interviews with 2,900 people, concerning their behaviors and attitudes on a wide variety of issues such as abortion, religion, prejudice, sexuality, and politics. The States data allows comparison of all 50 states with 400 variables indicating issues such as unemployment, environment, criminality, population, and education. Students will ultimately use these data to conduct their own independent research project with SPSS.

Table of Contents

Each chapter begins with "Overview" and concludes with "Summary," "Key Terms", and "Exercises."
About the Authors
Key Concepts in Social Science Research
Why Do We Need Statistics
Framing Topics Into Research Questions
Theory and Hypothesis
Population and Samples
Relationships and Causality
Time Order
The Data Sets
Parts of a Data Set
Reliability and Validity
Getting Started: Accessing, Examining,and Saving Data
Initial Settings
The Layout of SPSS
Types of Variables
Categorical Variables
Scale Variables
Defining and Saving a New Data Set
Managing Data Sets: Dropping and Adding Variables
Merging and Imp
Table of Contents provided by Publisher. All Rights Reserved.

Rewards Program

Write a Review