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E-raamat: Adventures in Social Research: Data Analysis Using IBM SPSS Statistics

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  • Ilmumisaeg: 02-Mar-2022
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781544397993
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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 02-Mar-2022
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781544397993

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"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"--

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.

Arvustused

This text has been a lifesaver! Although the material is challenging, I have been continually impressed with my students ability to come away from this course with the ability to perform their own (small) data analysis project in the final week using what they learned. . . . Many start with zero knowledge or experience with research, and in a very short time period are able to get up to speed with the terminology, and to sift through all of the various rules of data analysis (which measures of association, tests of significance, etc. to use based on their variables) like pros. -- Kristie Vise

Preface xix
About the Authors xxv
PART I PREPARING FOR DATA ANALYSIS
1(30)
Chapter 1 Introduction: The Theory and Practice of Social Research
3(12)
Overview
3(1)
Why Use a Database?
4(1)
Spss Statistics
4(1)
Social Research: A Primer
5(1)
Concepts and Theories: Deprivation Theory
5(1)
Variables and Hypotheses: Religiosity
6(2)
Social Research Strategies: Inductive and Deductive
8(1)
Theory and Research in Practice
9(1)
Example 1 Political Orientations
9(1)
Example 2 Attitudes Toward Abortion
10(1)
Conclusion
10(1)
Main Points
11(1)
Key Terms
11(1)
Review Questions
12(1)
Notes
12(3)
Chapter 2 The Logic of Measurement
15(10)
Validity Problems
15(1)
Reliability Problems
16(1)
Distinguishing Between Validity and Reliability
17(1)
Multiple Indicators
17(1)
Levels of Measurement
18(1)
Nominal Variables
18(1)
Ordinal Variables
18(1)
Ratio Variables
19(1)
Interval Variables
19(1)
Measurement and Information
19(1)
Measurement Options
20(1)
Classifying Variables as Discrete or Continuous
20(1)
Conclusion
21(1)
Main Points
22(1)
Key Terms
22(1)
Review Questions
22(1)
Note
23(2)
Chapter 3 Description of Data Sets: The General Social Survey
25(6)
Sampling
26(1)
Data Collection
27(1)
The Codebook: Appendix A
27(1)
Data Set 1 Adventures.Sav
28(1)
Data Set 2 Students.Sav
28(1)
Data Set 3 Gss2018.Sav
28(1)
Conclusion
28(1)
Main Points
28(1)
Key Terms
28(1)
Review Questions
29(1)
Notes
29(2)
PART II UNIVARIATE ANALYSIS
31(128)
Chapter 4 Using SPSS Statistics: Some Basics
33(18)
Demonstration 4.1 Starting an SPSS Statistics Session
33(1)
SPSS Statistics Command 4.1 Starting an SPSS Statistics Session
33(2)
Demonstration 4.2 Exploring the Data View Portion of the Data Editor
35(1)
Menu Bar
35(1)
Getting Help
36(1)
SPSS Statistics Command 4.2 Accessing the Help Menu
37(1)
Toolbar
37(1)
Dialog Boxes
37(1)
SPSS Statistics Command 4.3 Getting Help in a Dialog Box
38(1)
Scroll Bars: Moving Through the Data Editor
38(4)
SPSS Statistics Command 4.4 Moving Through the Data Screen
39(1)
Demonstration 4.3 Entering Data---a Preview
39(1)
Demonstration 4.4 Loading a Data Set
40(1)
SPSS Statistics Command 4.5 Opening a Data File
41(1)
Demonstration 4.5 Raw Data in Data View
42(1)
Finding Variable Information: Values and Labels
42(5)
Option 1 Variables Dialog Box
43(1)
Option 2 Toggling Between Numeric Values and Value Labels
44(1)
Option 3 Value Labels Tool
44(1)
SPSS Statistics Command 4.6 Finding Information on Variables
45(1)
Demonstration 4.6 Variable View Tab
45(2)
SPSS Statistics Command 4.7 Finding Information on Variables in Variable View
47(1)
Demonstration 4.7 Ending Your SPSS Statistics Session
47(1)
SPSS Statistics Command 4.8 Ending Your SPSS Statistics Session
47(1)
Conclusion
47(1)
Main Points
48(1)
Key Terms
48(1)
Spss Statistics Commands Introduced In This
Chapter
48(1)
Review Questions
48(2)
SPSS Statistics Lab Exercise 4.1
49(1)
Notes
50(1)
Chapter 5 Describing Your Data: Religiosity
51(30)
Demonstration 5.1 Opening Frequently Used Data Files
51(1)
SPSS Statistics Command 5.1 Shortcut for Opening Frequently Used Data Files
52(1)
Demonstration 5.2 Setting Options---Variable Lists and Output Labels
52(1)
SPSS Statistics Command 5.2 Setting Options---Displaying Abbreviated Variable Names Alphabetically
53(1)
SPSS Statistics Command 5.3 Setting Options---Output Labels
54(2)
SPSS Statistics Command 5.4 Setting Values and Labels as "Missing"
56(1)
Demonstration 5.3 Frequency Distributions
56(1)
SPSS Statistics Command 5.5 Running Frequency Distributions
57(1)
The SPSS Statistics Viewer: Output
58(1)
SPSS Statistics Command 5.6 Navigating Through the SPSS Statistics Viewer
59(1)
SPSS Statistics Command 5.7 Changing the Width of the Outline Pane
59(1)
Hiding and Displaying Results in the Viewer
59(1)
SPSS Statistics Command 5.8 Hiding and Displaying Results in the Viewer
59(1)
SPSS Statistics Command 5.9 Hiding and Displaying All Results From a Procedure
60(1)
Reading Frequency Distributions
60(5)
Demonstration 5.4 Frequency Distributions---Running Two or More Variables at One Time
61(1)
SPSS Statistics Command 5.10 Running Frequency Distributions With Two or More Variables
62(2)
Writing Box 5.1
64(1)
Descriptive Statistics: Basic Measures of Central Tendency and Dispersion
65(9)
Demonstration 5.5 The Frequencies Procedure
67(2)
SPSS Statistics Command 5.11 The Frequencies Procedure-Descriptive Statistics (Discrete Variables}
69(1)
Demonstration 5.6 The Descriptives Procedure---Calculating Descriptive Statistics for Continuous Variables
69(2)
SPSS Statistics Command 5.12 The Descriptives Procedure-Descriptive Statistics IContinuous Variables}
71(1)
Demonstration 5.7 Printing Your Output (Viewer)
71(1)
SPSS Statistics Command 5.13 Printing Your Output (Viewer)
71(1)
SPSS Statistics Command 5.14 Print Preview
72(1)
Demonstration 5.8 Adding Headers/Footers and Titles/Text
72(1)
SPSS Statistics Command 5.15 Adding Headers and Footers
72(1)
SPSS Statistics Command 5.16 Adding Titles or Text
72(1)
Demonstration 5.9 Saving Your Output (Viewer]
73(1)
SPSS Statistics Command 5.17 Saving Your Output (Viewer)
73(1)
Demonstration 5.10 Saving Changes to Your Data Set
73(1)
SPSS Statistics Command 5.18 Saving Changes Made to an Existing Data Set
74(1)
Conclusion
74(1)
Main Points
75(1)
Key Terms
75(1)
Spss Statistics Commands Introduced In This
Chapter
75(1)
Review Questions
76(3)
SPSS Statistics Lab Exercise 5.1
77(2)
Notes
79(2)
Chapter 6 Presenting Your Data in Graphic Form: Political Orientations
81(20)
Graphing Data With Direct "Legacy" Dialogs
81(2)
Demonstration 6.1 Frequency Table---POLVIEWS
82(1)
Bar Chart: POLVIEWS
83(5)
SPSS Statistics Command 6.1 Simple Bar Chart
85(1)
Demonstration 6.2 SPSS Statistics Chart Editor
85(2)
SPSS Statistics Command 6.2 SPSS Statistics Chart Editor
87(1)
Demonstration 6.3 Frequency Table---PARTYID
87(1)
Pie Chart: PARTYID
88(9)
SPSS Statistics Command 6.3 Pie Chart
90(1)
SPSS Statistics Command 6.4 Accessing Pie Options ISPSS Statistics Chart Editorl
91(1)
Demonstration 6.4 Political Attitudes
92(1)
Writing Box 6.1
93(1)
Demonstration 6.5 Histogram---AGE
93(1)
SPSS Statistics Command 6.5 Histogram
94(1)
Demonstration 6.6 Line Chart---INCOME
94(2)
SPSS Statistics Command 6.6 Simple Line Chart
96(1)
Some Guidelines for Choosing a Chart or Graph
97(1)
Saving and Printing Your Charts
97(1)
Conclusion
97(1)
Main Points
98(1)
Key Terms
98(1)
SPSS Statistics Commands Introduced in This
Chapter
98(1)
Review Questions
98(3)
SPSS Statistics Lab Exercise 6.1
99(2)
Chapter 7 Recoding Your Data: Religiosity and Political Orientations
101(24)
Demonstration 7.1 Modifying Variables With Recode-ATTEND → CHATT
101(8)
Summary of Steps Involved in Recoding
109(9)
Demonstration 7.2 Recoding Age Agecat
110(3)
Writing Box 7.1
113(1)
SPSS Statistics Command 7.1 Recoding a Variable
113(1)
Demonstration 7.3 Recoding POLVIEWS → POLREC
113(2)
Demonstration 7.4 Recoding PARTYID → PARTY
115(3)
Writing Box 7.2
118(1)
Demonstration 7.5 Saving Changes to Your Data Set
118(1)
SPSS Statistics Command 7.2 Saving Changes Made to an Existing Data Set
118(1)
Conclusion
118(1)
Main Points
119(1)
Key Term
119(1)
SPSS Statistics Commands Introduced in This
Chapter
119(1)
Review Questions
119(4)
SPSS Statistics Lab Exercise 7.1
120(3)
Notes
123(2)
Chapter 8 Creating Composite Measures: Exploring Attitudes Toward Abortion in More Depth
125(20)
Demonstration 8.1 Identifying the Seven Abortion Variables---File Info
125(1)
SPSS Statistics Command 8.1 Identifying Variables---File Info
126(1)
Demonstration 8.2 Running Frequencies for Several Variables at Once
126(1)
SPSS Statistics Command 8.2 Running Frequencies for Several Variables (Not Clustered}
126(1)
Items With the Highest Levels of Support
127(1)
Items With Less Support
128(1)
Unconditional Support for Abortion
129(1)
Support for Abortion: An Overview
129(1)
Index: A Form of Composite Measure 130(271)
Abort Index
130(1)
Abort Index Scores
131(6)
Demonstration 8.3 Abort Index
131(3)
Demonstration 8.4 Defining ABORT
134(1)
Demonstration 8.5 Checking New Index---Comparing Scores on Old and New Variables
135(1)
Demonstration 8.6 Running Frequencies for ABORT
136(1)
SPSS Statistics Command 8.3 Creating a Simple Index Using Count
136(1)
Abindex: Index Based on Six Abortion Variables
137(3)
Demonstration 8.7 Abindex
137(2)
Demonstration 8.8 Running Frequencies
139(1)
Writing Box 8.1 Description of Abindex
140(1)
Conclusion
140(1)
Main Points
141(1)
Key Terms
141(1)
SPSS Statistics Commands Introduced in This
Chapter
141(1)
Review Questions
141(3)
SPSS Statistics Lab Exercise 8.1
142(2)
Notes
144(1)
Chapter 9 Suggestions for Further Analysis
145(14)
Desired Family Size
145(2)
Demonstration 9.1 Respondents' Ideal Family Size (CHLDIDEL)
146(1)
Writing Box 9.1
147(1)
Child-Rearing
147(2)
Demonstration 9.2 Important Qualities for Children
147(2)
Writing Box 9.2
149(1)
Attitudes About Sexual Behavior
149(4)
Demonstration 9.3 Index of Sexual Permissiveness
150(1)
SPSS Statistics Command 9.1 Setting Values and Labels as "Missing" Using "Range Plus One" Option
150(3)
Writing Box 9.3 Description of Sexperm Index
153(1)
Prejudice
153(2)
Writing Box 9.4
155(1)
Conclusion
155(1)
Main Points
156(1)
Key Term
156(1)
SPSS Statistics Command Introduced in This
Chapter
156(1)
Review Questions
156(2)
SPSS Statistics Lab Exercise 9.1
157(1)
Notes
158(1)
PART III BIVARIATE ANALYSIS
159(2)
Chapter 10 Examining the Sources of Religiosity
161(1)
The Deprivation Theory of Religiosity
161(1)
Testing Our Hypothesis: Correlating Religiosity and Gender
162(3)
Demonstration 10.1 Running Crosstabs to Test Our Hypothesis
162(3)
Examining Your Output
165(1)
SPSS Statistics Command 10.1 Running Crosstabs---Specifying the Dependent and Independent Variables
166(1)
Interpreting Crosstabs
166(1)
Interpreting Crosstabs: Association, Strength, and Direction
166(3)
Demonstration 10.2 Interpreting a Crosstab With Limited Categories
166(1)
First Question Is There an Association?
167(1)
Second Question How Strong Is the Association?
167(1)
Demonstration 10.3 Correlating Another Measure of Religiosity and Gender
168(1)
Writing Box 10.1
169(1)
Drawing Conclusions Carefully: Reassessing Our Original Hypothesis
169(1)
Demonstration 10.4 Interpreting a Crosstab With Ordinal Variables---Religiosity and Age
169(1)
Interpreting Crosstabs With Ordinal Variables
170(1)
Examining Your Output
171(2)
Demonstration 10.5 Correlating Other Measures of Religiosity and Age
171(2)
Writing Box 10.2
173(1)
Epsilon
173(1)
Conclusion
173(1)
Main Points
174(1)
Key Terms
174(1)
SPSS Statistics Command Introduced in This
Chapter
175(1)
Review Questions
175(4)
SPSS Statistics Lab Exercise 10.1
176(3)
Notes
179(2)
Chapter 11 Political Orientations as Cause and Effect
181(18)
The Relationship Between POLVIEWS and PARTYID
181(2)
Demonstration 11.1 Polrec By Party
182(1)
Demonstration 11.2 Party By Polrec
182(1)
Age and Politics
183(3)
Demonstration 11.3 Polrec By Agecat
183(1)
Demonstration 11.4 Party By Agecat
184(1)
Interpreting Your Table: The Relationship Between Age and Party Identification
185(1)
Religion and Politics
185(2)
Demonstration 11.5 Polrec By Relig
185(1)
Demonstration 11.6 Party By Relig
186(1)
Gender and Politics
187(1)
Demonstration 11.7 Party And Polrec By Sex
187(1)
Race and Politics
188(1)
Demonstration 11.8 Polrec By Race
188(1)
Demonstration 11.9 Party By Race
189(1)
Education and Politics
189(4)
Demonstration 11.10 Recoding EDUC → EDCAT
189(2)
Demonstration 11.11 Polrec By Edcat
191(1)
Demonstration 11.12 Party By Edcat
192(1)
Some Surprises: Class, Marital Status, and Politics
193(1)
Social Class
193(1)
Marital Status
194(1)
The Impact of Party and Political Philosophy
194(1)
Saving Recoded Variable: EDCAT
194(1)
Conclusion
194(1)
Main Points
194(1)
Key Terms
195(1)
SPSS Statistics Commands Introduced in This
Chapter
195(1)
Review Questions
195(3)
SPSS Statistics Lab Exercise 11.1
196(2)
Notes
198(1)
Chapter 12 What Causes Different Attitudes Toward Abortion?
199(1)
Demonstration 1.2.1 Gender and Abortion
199(1)
Demonstration 12.2 Age and Abortion
200(2)
Demonstration 12.3 Religion and Abortion
202(2)
Writing Box 12.1
204(1)
Demonstration 12.4 Politics and Abortion
204(2)
Writing Box 12.2
206(1)
Demonstration 12.5 Sexual Attitudes and Abortion
206(2)
Other Factors You Can Explore on Your Own
208(1)
Conclusion
208(1)
Main Points
209(1)
Key Terms
209(1)
SPSS Statistics Commands Introduced in This
Chapter
209(1)
Review Questions
209(5)
SPSS Statistics Lab Exercise 12.1
210(4)
Notes
214(1)
Chapter 13 Measures of Association for Nominal and Ordinal Variables
215(26)
The Logic of Statistical Association: Proportionate Reduction of Error
215(1)
Lambda [ X): A Measure Appropriate for Nominal Variables
216(1)
An Indication of Strength of Association
216(4)
Example 1 The Logic of Lambda IX)
216(1)
Example 2 The Logic of Lambda M
217(1)
Demonstration 13.1 Instructing SPSS Statistics to Calculate Lambda [ X]
218(2)
Interpreting Lambda and Other Measures
220(1)
Caveat: Interpreting Lambdas of 0.00
221(1)
Writing Box 13.1
222(1)
SPSS Statistics Command 13.1 Running Crosstabs With Lambda III
222(1)
Gamma (γ): A Measure Appropriate for Ordinal Variables
222(1)
An Indication of Strength and Direction (With a Caveat) of Association
222(11)
Example 1 The Logic of Gamma (γ)
224(3)
Example 2 The Logic of Gamma (γ)
227(1)
Demonstration 13.2 Instructing SPSS Statistics to Calculate Gamma (γ)---Example 1
228(2)
Writing Box 13.2
230(1)
Demonstration 13.3 Running Gamma (γ)---Example 2 (Reverse Scoring Case)
230(3)
SPSS Statistics Command 13.2 Running Crosstabs With Gamma (yl
233(1)
Additional Measures of Association
233(1)
Analyzing the Association Between Variables at Different Levels of Measurement
234(1)
Conclusion
234(1)
Main Points
234(1)
Key Terms
235(1)
SPSS Statistics Commands Introduced in This
Chapter
235(1)
Review Questions
235(3)
SPSS Statistics Lab Exercise 13.1
236(2)
Notes
238(3)
Chapter 14 Correlation and Regression Analysis
241(28)
Pearson's r: A Measure Appropriate for Interval/Ratio Variables
241(1)
An Indication of Strength and Direction of Association
241(4)
Example 1 The Logic of Pearson's r
241(4)
Interpreting Pearson's rand the Coefficient of Determination (r2)
245(1)
Instructing SPSS Statistics to Calculate Pearson's
246(8)
Demonstration 14.1 Recoding Rincom16 → Recinc
246(4)
Demonstration 14.2 Using SPSS Statistics to Compute Pearson's r
250(2)
SPSS Statistics Command 14.1 Producing a Correlation Matrix With Pearson's r
252(1)
Demonstration 14.3 Requesting Several Correlation Coefficients
252(2)
Writing Box 14.1
254(1)
A Note of Caution
254(1)
Regression Analysis
255(7)
Example 1 The Logic of Regression
255(1)
Demonstration 14.4 Regression
256(3)
SPSS Statistics Command 14.2 Regression
259(1)
Demonstration 14.5 Presenting Data Graphically---Producing a Scatterplot With a Regression Line
259(3)
An Indication of Direction and Strength of Association
262(1)
Writing Box 14.2
263(1)
SPSS Statistics Command 14.3 Producing a Scatterplot With a Regression Line
263(1)
Measures of Association for Interval and Ratio Variables
263(1)
Analyzing the Association Between Variables at Different Levels of Measurement
264(1)
Conclusion
264(1)
Main Points
264(1)
Key Terms
265(1)
SPSS Statistics Commands Introduced in This
Chapter
265(1)
Review Questions
265(2)
SPSS Statistics Lab Exercise 14.1
266(1)
Notes
267(2)
Chapter 15 Tests of Significance
269(24)
Statistical Significance
269(1)
Significance Tests: Part of the Larger Body of Inferential Statistics
269(1)
Statistical Significance Versus Measures of Association
270(1)
Chi-Square (Χ2)
270(1)
The Logic of Statistical Significance: Chi-Square (Χ2)
270(5)
Demonstration 15.1 Instructing SPSS Statistics to Calculate Chi-Square
274(1)
Reading Your Output
275(1)
SPSS Statistics Command 15.1 Producing Crosstabs With Chi-Square
276(1)
Practice Running Chi-Square
276(1)
Writing Box 15.1
276(1)
Significance and Association
276(1)
T Tests
277(4)
Demonstration 15.2 Instructing SPSS Statistics to Run Independent-Samples t Test
279(2)
Reading Your Output
281(2)
SPSS Statistics Command 15.2 Running t Test (Independent-Samples t Test)
281(1)
Demonstration 15.3 T Test---EDUC by SEX
281(2)
Analysis of Variance
283(1)
Demonstration 15.4 Instructing SPSS Statistics to Run ANOVA
283(1)
Reading Your Output
283(3)
SPSS Statistics Command 15.3 Anova Iglm Univariate!
285(1)
Writing Box 15.2
286(1)
A Statistical Toolbox: A Summary
286(1)
Conclusion
286(1)
Main Points
287(1)
Key Terms
288(1)
SPSS Statistics Commands Introduced in This
Chapter
288(1)
Review Questions
288(3)
SPSS Statistics Lab Exercise 15.1
289(2)
Notes
291(2)
Chapter 16 Suggestions for Further Bivariate Analyses
293(10)
Demonstration 16.1 Desired Family Size
293(2)
Writing Box 16.1
295(1)
Child-Rearing
295(1)
Attitudes About Sexual Behavior
296(1)
Demonstration 16.2 Investigating Sexual Permissiveness Further
296(1)
Writing Box 16.2
296(1)
Prejudice
296(1)
Additional Resources
297(1)
Conclusion
297(1)
Main Points
298(1)
Key Terms
298(1)
SPSS Statistics Commands Introduced in This
Chapter
298(1)
Review Questions
298(3)
SPSS Statistics Lab Exercise 16.1
299(2)
Note
301(2)
PART IV MULTIVARIATE ANALYSIS
303(70)
Chapter 17 Multiple Causation: Examining Religiosity in Greater Depth
305(22)
Multiple Causation
305(9)
Demonstration 17.1 The Impact of Age and Sex on Religiosity
305(4)
SPSS Statistics Command 17.1 Running Crosstabs With a Control or Third Variable
309(1)
Demonstration 17.2 Family Status and Religiosity
309(2)
Demonstration 17.3 Family Status and Religiosity, Controlling for Age
311(1)
Demonstration 17.4 Social Class and Religiosity
312(1)
Writing Box 17.1
313(1)
Other Variables to Explore
314(1)
Chi-Square and Measures of Association
314(1)
Chi-Square I/2)
314(1)
Measures of Association
314(1)
Multiple Regression
314(1)
Dummy Variables
315(1)
Recoding SEX to Create a Dummy Variable: MALE
315(1)
Recoding RACE to Create a Dummy Variable: WHITE
316(2)
SPSS Statistics Command 17.2 Recoding to Create a Dummy Variable
318(1)
Multiple Regression
318(2)
SPSS Statistics Command 17.3 Multiple Regression
320(1)
Conclusion
320(1)
Main Points
321(1)
Key Terms
321(1)
SPSS Statistics Commands Introduced in This
Chapter
321(1)
Review Questions
321(4)
SPSS Statistics Lab Exercise 17.1
322(3)
Notes
325(2)
Chapter 18 Dissecting the Political Factor
327(10)
Political Philosophy and Party Identification
327(2)
Demonstration 18.1 Controlling for Education
328(1)
Demonstration 18.2 The Mystery of Politics and Marital Status
329(1)
Recoding MARITAL
329(1)
Polrec By Marital2
329(1)
Polrec By Marital2 By Agecat
329(2)
Polrec By Marital2 By Sex
331(1)
Polrec By Marital2 By Edcat
331(1)
Polrec By Marital2 By Race
331(1)
Polrec As Independent Variable
332(1)
Writing Box 18.1
333(1)
Political Issues
333(1)
Conclusion
333(1)
Main Points
334(1)
Key Terms
334(1)
SPSS Statistics Commands Introduced in This
Chapter
334(1)
Review Questions
334(2)
SPSS Statistics Lab Exercise 18.1
335(1)
Notes
336(1)
Chapter 19 A Powerful Prediction of Attitudes Toward Abortion
337(24)
Religion and Abortion
337(3)
Demonstration 19.1 Religious Affiliation and Church Attendance
337(2)
Demonstration 19.2 Religious Affiliation, Church Attendance, and Abortion
339(1)
Recoding RELIG and ATTEND Into Different Variables
340(2)
SPSS Statistics Command 19.1 Recoding Into Different Variables
340(2)
Crosstab Recoded Variables
342(1)
Relationship Between ABORT and Recoded Items
343(1)
Politics (POLREC, PARTY) and Abortion (ABORT)
344(7)
Demonstration 19.3 The Interaction of Religion and Politics on Abortion Attitudes
345(1)
Demonstration 19.4 Constructing an Index of Ideological Traditionalism
346(1)
Step 1 Create IND
347(1)
Step 2 Assign Points---If Liberal ID on POLREC, Get Two Points on IND
347(1)
Step 3 Assign Points---If Moderate (2) on POLREC, Get One Point on IND
348(1)
Step 4 Assign Points---If None (2) on RELIG2, Get One Point on IND
348(1)
Step 5 Assign Points---If Seldom (2) on ATTEND2, Get One Point on IND
348(1)
Step 6 Handle Missing Data
349(1)
Step 7 Define IND
350(1)
SPSS Statistics Command 19.2: Creating an Index Using Compute Variable
351(1)
Run Frequencies to Check IND
352(1)
Does IND Predict Attitudes Toward Abortion?
352(1)
Sexual Attitudes and Abortion
352(3)
Demonstration 19.5 Recode PREMARSX and HOMOSEX
353(2)
Writing Box 19.1
355(1)
Demonstration 19.6 The Relationship Between Sexual Permissiveness and IND
355(1)
Conclusion
355(1)
Main Points
356(1)
Key Terms
356(1)
SPSS Statistics Commands Introduced in This
Chapter
356(1)
Review Questions
356(3)
SPSS Statistics Lab Exercise 19.1
357(2)
Notes
359(2)
Chapter 20 Suggestions for Further Multivariate Analyses
361(12)
Ideal Family Size and Abortion
361(1)
Writing Box 20.1
362(1)
Child-Rearing
362(1)
The Protestant Ethic
363(1)
Capital Punishment, Gender, and Race
363(4)
Demonstration 20.1 Cappun By Sex
364(1)
Demonstration 20.2 Cappun By Sex, Controlling For Race
365(2)
Conclusion
367(1)
Main Points
367(1)
Key Term
368(1)
SPSS Statistics Commands Introduced in This
Chapter
368(1)
Review Questions
368(3)
SPSS Statistics Lab Exercise 20.1
369(2)
Notes
371(2)
PART V THE ADVENTURE CONTINUES
373(2)
Chapter 21 Designing and Executing Your Own Survey
375(1)
The Social Research Process and Proposal
375(1)
Designing and Executing Your Own Survey
376(1)
Sample Questionnaire
376(1)
Getting Ready for Data Analysis Using SPSS Statistics
377(1)
Step 1 Define Your Data
377(1)
Demonstration 21.1 Example 1---Defining ID
377(1)
Variable Names
378(1)
Type
378(1)
Decimal
379(1)
Width
379(1)
Label
380(1)
Values
380(1)
Missing
380(1)
Columns and Align
381(1)
Measure
381(2)
Demonstration 21.2 Example 2---Defining CHLDIDEL
382(1)
SPSS Statistics Command 21.1 Defining a Variable
383(1)
Copying Variables With Shared Attributes: Abortion Variables
383(3)
Demonstration 21.3 Copying a Variable
384(1)
SPSS Statistics Command 21.2 Copying a Variable
385(1)
Demonstration 21.4 Saving Your New File
386(1)
SPSS Statistics Command 21.3 Saving a New Data File
386(1)
Local.Sav
386(1)
Step 2 Edit and Code Your Data
387(1)
Unique ID Number
387(1)
Coding Open-Ended Questions
387(1)
Ensuring That Codes Are Easy to Read
387(1)
Editing Questionnaires
387(3)
Demonstration 21.5 Accessing File Information for Coding and Editing
388(1)
SPSS Statistics Command 21.4 Accessing File Information for Coding and Editing
388(1)
Step 3 Enter Your Raw Data
388(1)
Demonstration 21.6 Moving Through Data View
388(1)
SPSS Statistics Command 21.5 Some Tips for Moving Through Data View
389(1)
Demonstration 21.7 Entering Data
389(1)
SPSS Statistics Command 21.6 Entering Numeric Data
389(1)
Demonstration 21.8 Revising or Deleting Data
389(1)
SPSS Statistics Command 21.7 Deleting an Entire Case
389(1)
Demonstration 21.9 Saving Your Data File
390(1)
Writing a Research Report
390(1)
Conclusion
390(1)
Main Points
390(1)
Key Terms
391(1)
SPSS Statistics Commands Introduced in This
Chapter
391(1)
Review Questions
391(1)
SPSS Statistics Lab Exercise 21.1
392(1)
Notes
392(3)
Chapter 22 Further Opportunities for Social Research
395(6)
The Unabridged GSS
395(1)
Other Data Sets
396(2)
Other Computer Programs
398(1)
Conclusion
399(1)
Main Points
399(1)
Key Term
399(1)
SPSS Statistics Commands Introduced in This
Chapter
399(1)
Review Questions
400(1)
Appendix A The Codebook 401(72)
Appendix B Questionnaire for Class Survey 473(16)
Index/Glossary 489
Earl Babbie was born in Detroit, Michigan, in 1938, but his family chose to return to Vermont 3 months later, and he grew up there and in New Hampshire. In 1956, he set off for Harvard Yard, where he spent the next 4 years learning more than he initially planned. After 3 years with the US Marine Corps, mostly in Asia, he began graduate studies at the University of CaliforniaBerkeley. He received his PhD from Berkeley in 1969. He taught sociology at the University of Hawaii from 1968 through 1979, took time off from teaching and research to write full-time for 8 years, and then joined the faculty at Chapman University in Southern California in 1987. Although he is the author of several research articles and monographs, he is best known for the many textbooks he has written, which have been widely adopted in colleges throughout the United States and the world. He also has been active in the American Sociological Association for 25 years and currently serves on the ASAs executive committee. He is also past president of the Pacific Sociological Association and California Sociological Association.

William E. Wagner, III,  PhD, is Chair of the Department of Sociology at California State University, Dominguez Hills and Executive Director of the Social Science Research & Instructional Council of the CSU. He is co-author of Adventures in Social Research, 11th edition (SAGE, 2022), The Practice of Survey Research (SAGE, 2016), and A Guide to R for Social and Behavioral Sciences (SAGE, 2020) and author of Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics, 7th edition (SAGE, 2019).







Jeanne Zaino, Associate Professor of Political Science, Iona College, earned a bachelors degree in political science and a masters degree in survey research at the University of ConnecticutStorrs. During that time, she worked as a research assistant at the Roper Center for Public Opinion Research. She went on to earn a masters degree and PhD in political science from the University of MassachusettsAmherst. She is currently chair of the Political Science Department at Iona College in New Rochelle, New York, where she teaches courses in American government, institutions, research methods, social statistics, public opinion, scope, and methods. She and her husband, Jeff, are the proud parents of two sons, Maxim and Logan.