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9780205265565

Data Analysis With Spss

by
  • ISBN13:

    9780205265565

  • ISBN10:

    0205265561

  • Edition: 1st
  • Format: Paperback
  • Copyright: 1999-01-01
  • Publisher: ALLYN & BACON INC

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

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Supplemental Materials

What is included with this book?

Summary

Many students find statistics courses alienating, boring, intimidating, or all of the above! Data Analysis with SPSS? is designed to help students develop an appreciation and hopefully an excitement for quantitative inquiry. Written in nine manageable chapters, this book first orients 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. They are then guided 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. This text is designed to teach students how to explore data in a systematic manner using the most popular professional statistics program for social scientists on the market today, SPSS? (Statistical Package for the Social Sciences). The book is organized to guide students through the logic of data analysis, from exploring data sets all the way through multivariate analysis and the writing of a research report. Each book is packaged with a disk containing the GSS (General Social Survey) file and the States file. The GSS file contains 100 variables generated from interviews with 2900 people concerning their behaviors and attitudes on a wide variety of issues such as abortion, aid to the poor, religion, prejudice, sexuality, and politics. The States data allows comparison of all 50 states with 400 variables indicating issues such as unemployment, earnings, environment, criminality, population, corrections, and education. Students will ultimately use these data to conduct their own independent research project with SPSS?.

Table of Contents

Preface vii
Key Concepts in Social Science Research
1(16)
Overview
1(1)
Developing Research Questions
1(1)
Theory and Hypothesis
2(2)
Indicators
4(1)
Variables
4(1)
Causality
5(3)
Data Sets
8(1)
Summary
9(1)
Key Terms
9(1)
References and Further Reading
9(2)
Exercises
11(6)
Getting Started: Accessing, Examining, and Saving Data
17(20)
Overview
17(1)
The Layout of SPSS
17(2)
Defining and Saving New Data Set
19(4)
Loading and Examining an Existing File
23(4)
Dropping and Adding Variables in the Data Editor
27(1)
Naming and Labeling Variables
28(1)
Merging and Importing Files
29(2)
Summary
31(1)
Key Terms
31(1)
References and Further Reading
31(2)
Exercises
33(4)
Univariate Analysis
37(26)
Overview
37(1)
Sorting Data
38(3)
Measures of Central Tendency
41(4)
Exploring Distributions of Data
45(4)
Computing New Variables
49(3)
Recoding Existing Variables
52(2)
Summary and Key Terms
54(1)
References and Further Reading
55(2)
Exercises
57(6)
Bivariate Analysis
63(22)
Overview
63(1)
Statistical Significance
63(2)
Analyzing Bivariate Relationships
65(1)
Cross Tabulations
66(3)
Comparison of Means
69(2)
Correlations
71(1)
Summary
71(3)
Key Terms
74(1)
References and Further Reading
74(1)
Exercises
75(10)
Graphing
85(22)
Overview
85(1)
Univariate Graphing
85(8)
Pie Charts
86(2)
Bar Charts
88(2)
Histograms
90(2)
Box Plots
92(1)
Bivariate Graphing
93(3)
Bar Charts
93(1)
Box Plots
94(1)
Scatter Plots
95(1)
Summary
96(1)
Key Terms
96(1)
References and Further Reading
97(2)
Exercises
99(8)
Multivariate Analysis: Regression
107(22)
Overview
107(1)
The Regression Equation: A Bivariate Example
108(4)
Data and Multiple Regression
112(2)
Multivariate Regression: An Example
114(4)
Graphing a Multivariate Regression
118(3)
Summary
121(1)
Key Terms
121(1)
References and Further Reading
121(2)
Exercises
123(6)
Multivariate Analysis: Logistic Regression
129(18)
Overview
129(1)
Logistic Regression
129(2)
Logistic Regression: A Bivariate Example
131(5)
Multivariate Logistic Regression: An Example
136(3)
Summary
139(1)
Key Terms
139(1)
References and Further Reading
139(2)
Exercises
141(6)
Writing a Research Report
147(10)
Overview
147(1)
The Title
148(1)
The Abstract
149(1)
The Introduction
150(1)
The Literature Review
150(1)
The Methods
151(1)
The Findings
152(1)
The Conclusion
153(1)
References
154(1)
Summary
154(1)
Key Terms
155(1)
References and Further Reading
155(2)
Research Projects
157(14)
Overview
157(1)
Secondary Data Analysis
157(1)
Publically Available Data
158(2)
Potential Research Projects
160(1)
Key Terms
161(1)
Racism
162(1)
Suicide
163(1)
Politics
164(1)
Criminality
165(1)
Welfare
166(1)
Sexual Behavior
167(1)
Education
168(1)
Your Topic
169(2)
Appendix 1. STATES.SAV Descriptives 171(10)
Appendix 2. GSS96.SAV File Information 181(22)
Appendix 3. Variable Label Abbreviations 203

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

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