Data Analysis with SPSS is 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.
Chapter 1 : Key concepts in social science research
Chapter 2 : Getting started: accessing, examining, and saving data
Chapter 3 : Univariate analysis: descriptive statistics
Chapter 4 : Constructing variables
Chapter 5 : Assessing association through bivariate analysis
Chapter 6 : Comparing group means through
Chapter 7 : Modeline relationships of multiple variables with linear regression
Chapter 8 : Lgistic regression
Chapter 9 : Writing a research report
Chapter 10 : Research projects