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

  • Formaat: 512 pages
  • Ilmumisaeg: 08-May-2018
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781506362762
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  • Formaat: 512 pages
  • Ilmumisaeg: 08-May-2018
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781506362762
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This workbook introduces research to students in various social science disciplines, particularly survey research and data analysis using current General Social Survey (GSS) data and the latest versions of IBM SPSS Statistics software. It addresses the skills of conceptualization, measurement, and association and focuses on active and collaborative learning. It covers the essentials of social research and the 2016 GSS; SPSS Statistics and data analysis, including univariate, bivariate, and multivariate analysis; and primary research and additional avenues for secondary research. Each chapter includes explanations of basic research principles and techniques; instructions for using SPSS Statistics; and demonstrations, writing boxes, key terms, SPSS Statistics commands, review questions, and lab exercises. A companion website includes data sets. Annotation ©2018 Ringgold, Inc., Portland, OR (protoview.com)

Inspire students to pursue their own adventures in social research with this practical, hands-on introduction to data conceptualization, measurement, and association through active learning.

 

Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics from Earl Babbie, William E. Wagner, III, and Jeanne Zaino offers a practical, hands-on introduction to the logic of social science research for students in many disciplines. The fully revised Tenth Edition offers step-by-step instruction on data analysis using the latest version (24.0) of SPSS and current data from the General Social Survey. Organized to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. The range of topics, from beginning to advanced, make Adventures in Social Research appropriate for both undergraduate and graduate courses.


Arvustused

This book is based on sound pedagogic principles and clearly derives from current live classes: you can practically hear the authors in the text. Unlike some other textbooks, it is not just a "How to" book, but also a "Why?" book, with occasional side comments revealing the sort of wry and mischievous sense of humour which appeals to students -- John F Hall

Preface xix
About the Authors xxv
Part I Preparing For Data Analysis
Chapter 1 Introduction: The Theory and Practice of Social Research
3(10)
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(2)
Example 1: Political Orientations
10(1)
Example 2: Attitudes Toward Abortion
10(1)
Conclusion
11(1)
Main Points
11(1)
Key Terms
12(1)
Review Questions
12(1)
Chapter 2 The Logic of Measurement
13(10)
Validity Problems
13(1)
Reliability Problems
14(1)
Distinguishing Between Validity and Reliability
15(1)
Multiple Indicators
15(1)
Levels of Measurement
16(1)
Nominal Variables
16(1)
Ordinal Variables
16(1)
Ratio Variables
17(1)
Interval Variables
17(1)
Measurement and Information
17(1)
Measurement Options
18(1)
Classifying Variables as Discrete or Continuous
18(1)
Conclusion
19(1)
Main Points
20(1)
Key Terms
20(1)
Review Questions
20(3)
Chapter 3 Description of Data Sets: The General Social Survey
23(6)
Sampling
24(1)
Data Collection
25(1)
The Codebook: Appendix A
25(1)
Data Set 1: DEMO.SAV
26(1)
Data Set 2: EXER.SAV
26(1)
Data Set 3: GSS2016.SAV
26(1)
Conclusion
26(1)
Main Points
26(1)
Key Terms
27(1)
Review Questions
27(2)
Part II Univariate Analysis 29(130)
Chapter 4 Using SPSS Statistics: Some Basics
31(18)
Demonstration 4.1: Starting an SPSS Statistics Session
31(2)
SPSS Statistics Command 4.1: Starting an SPSS Statistics Session
31(2)
Demonstration 4.2: Exploring the Data View Portion of the Data Editor
33(3)
Menu Bar
33(1)
Getting Help
34(1)
SPSS Statistics Command 4.2: Accessing the Help Menu
34(1)
Toolbar
34(1)
Dialog Boxes
34(1)
SPSS Statistics Command 4.3: Getting Help in a Dialog Box
35(1)
Scroll Bars: Moving Through the Data Editor
35(4)
SPSS Statistics Command 4.4: Moving Through the Data Screen
36(1)
Demonstration 4.3: Entering Data-a Preview
36(1)
Demonstration 4.4: Loading a Data Set
37(1)
SPSS Statistics Command 4.5: Opening a Data File
38(1)
Demonstration 4.5: Raw Data in Data View
38(1)
Finding Variable Information: Values and Labels
39(3)
Option 1: Variables Dialog Box
40(1)
Option 2: Toggling Between Numeric Values and Value Labels
41(1)
Option 3: Value Labels Toot
41(13)
SPSS Statistics Command 4.6: Finding Information on Variables
42(1)
Demonstration 4.6: Variable View Tab
42(2)
SPSS Statistics Command 4.7: Finding Information on Variables in Variable View
44(1)
Demonstration 4.7: Ending Your SPSS Statistics Session
44(1)
SPSS Statistics Command 4.8: Ending Your SPSS Statistics Session
44(1)
Conclusion
44(1)
Main Points
45(1)
Key Terms
45(1)
SPSS Statistics Commands Introduced in This
Chapter
45(1)
Review Questions
45(2)
SPSS Statistics Lab Exercise 4.1
47(2)
Chapter 5 Describing Your Data: Religiosity
49(28)
Demonstration 5.1: Opening Frequently Used Data Files
49(1)
SPSS Statistics Command 5.1: Shortcut for Opening Frequently Used Data Files
50(1)
Demonstration 5.2: Setting Options-Variable Lists and Output Labels
50(4)
SPSS Statistics Command 5.2: Setting Options-Displaying Abbreviated Variable Names Alphabetically
51(1)
SPSS Statistics Command 5.3: Setting Options-Output Labels
52(2)
SPSS Statistics Command 5.4: Setting Values and Labels as "Missing"
54(1)
Demonstration 5.3: Frequency Distributions
54(5)
SPSS Statistics Command 5.5: Running Frequency Distributions
55(2)
The SPSS Statistics Viewer: Output
57(1)
SPSS Statistics Command 5.6: Navigating Through the SPSS Statistics Viewer
57(1)
SPSS Statistics Command 5.7: Changing the Width of the Outline Pane
57(1)
Hiding and Displaying Results in the Viewer
57(1)
SPSS Statistics Command 5.8: Hiding and Displaying Results in the Viewer
58(1)
SPSS Statistics Command 5.9: Hiding and Displaying All Results From a Procedure
58(1)
Reading Frequency Distributions
58(1)
Demonstration 5.4: Frequency Distributions-Running Two or More Variables at One Time
59(6)
SPSS Statistics Command 5.10: Running Frequency Distributions With Two or More Variables
61(1)
Writing Box 5.1
62(1)
Descriptive Statistics: Basic Measures of Central Tendency and Dispersion
63(2)
Demonstration 5.5: The Frequencies Procedure
65(2)
SPSS Statistics Command 5.11: The Frequencies Procedure-Descriptive Statistics (Discrete Variables)
67(1)
Demonstration 5.6: The Descriptives Procedure-Calculating Descriptive Statistics for Continuous Variables
67(2)
SPSS Statistics Command 5.12: The Descriptives Procedure-Descriptive Statistics (Continuous Variables)
69(1)
Demonstration 5.7: Printing Your Output (Viewer)
69(1)
SPSS Statistics Command 5.13: Printing Your Output (Viewer)
69(1)
SPSS Statistics Command 5.14: Print Preview
70(1)
Demonstration 5.8: Adding Headers/Footers and Titles/Text
70(1)
SPSS Statistics Command 5.15: Adding Headers and Footers
70(1)
SPSS Statistics Command 5.16: Adding Titles/Text
70(1)
Demonstration 5.9: Saving Your Output (Viewer)
70(1)
SPSS Statistics Command 5.17: Saving Your Output (Viewer)
71(1)
Demonstration 5.10: Saving Changes to Your Data Set
71(1)
SPSS Statistics Command 5.18: Saving Changes Made to an Existing Data Set
72(1)
Conclusion
72(1)
Main Points
73(1)
Key Terms
73(1)
SPSS Statistics Commands Introduced in This
Chapter
73(1)
Review Questions
74(1)
SPSS Statistics Lab Exercise 5.1
75(2)
Chapter 6 Presenting Your Data in Graphic Form: Political Orientations
77(22)
Graphing Data With Direct -Legacy" Dialogs
77(1)
Demonstration 6.1: Frequency Table-POLVIEWS
77(4)
Bar Chart: POLVIEWS
78(5)
SPSS Statistics Command 6.1: Simple Bar Chart
81(1)
Demonstration 6.2: SPSS Statistics Chart Editor
81(2)
SPSS Statistics Command 6.2: SPSS Statistics Chart Editor
83(1)
Demonstration 6.3: Frequency Table-PARTYID
83(5)
Pie Chart: PARTYID
84(4)
SPSS Statistics Command 6.3: Pie Chart
86(1)
SPSS Statistics Command 6.4: Accessing Pie Options ISPSS Statistics Chart Editor)
87(1)
Demonstration 6.4: Political Attitudes
88(1)
Writing Box 6.1
89(1)
Demonstration 6.5: Histogram-AGE
89(2)
SPSS Statistics Command 6.5: Histogram
90(1)
Demonstration 6.6: Line Chart-INCOME
91(3)
SPSS Statistics Command 6.6: Simple Line Chart
93(1)
Some Guidelines for Choosing a Chart or Graph
93(1)
Saving and Printing Your Charts
94(1)
Conclusion
94(1)
Main Points
94(1)
Key Terms
94(1)
SPSS Statistics Commands Introduced in This
Chapter
94(1)
Review Questions
94(3)
SPSS Statistics Lab Exercise 6.1
97(2)
Chapter 7 Recoding Your Data: Religiosity and Political Orientations
99(24)
Demonstration 7.1: Modifying Variables With Recode-ATTEND CHATT
99(9)
Summary of Steps Involved in Recoding
107(1)
Demonstration 7.2: Recoding AGE 4 AGECAT
108(3)
Writing Box 7.1
111(2)
SPSS Statistics Command 71: Recoding a Variable
111(1)
Demonstration 7.3: Recoding POLVIEWS 4 POLREC
111(2)
Demonstration 7.4: Recoding PARTYID 4 PARTY
113(3)
Writing Box 7.2
116(1)
Demonstration 7.5: Saving Changes to Your Data Set
116(1)
SPSS Statistics Command 72: Saving Changes Made to an Existing Data Set
116(1)
Conclusion
116(1)
Main Points
117(1)
Key Term
117(1)
SPSS Statistics Commands Introduced in This
Chapter
117(1)
Review Questions
117(2)
SPSS Statistics Lab Exercise 7.1
119(4)
Chapter 8 Creating Composite Measures: Exploring Attitudes Toward Abortion in More Depth
123(20)
Demonstration 8.1: Identifying the Seven Abortion Variables-File Info
123(1)
SPSS Statistics Command 8.1: Identifying Variables-File Info
124(1)
Demonstration 8.2: Running Frequencies for Several Variables at Once
124(4)
SPSS Statistics Command 8.2: Running Frequencies for Several Variables (Not Clustered)
124(1)
Items With the Highest Levels of Support
125(1)
Items With Less Support
126(1)
Unconditional Support for Abortion
127(1)
Support for Abortion: An Overview
127(1)
Index: A Form of Composite Measure
128(1)
ABORT Index
128(1)
ABORT Index Scores
129(1)
Demonstration 8.3: ABORT Index
129(3)
Demonstration 8.4: Defining ABORT
132(1)
Demonstration 8.5: Checking New Index-Comparing Scores on Old and New Variables
133(1)
Demonstration 8.6: Running Frequencies for ABORT
134(1)
SPSS Statistics Command 8.3: Creating a Simple Index Using Count
134(1)
ABINDEX: Index Based on Six Abortion Variables
135(1)
Demonstration 8.7: ABINDEX
135(2)
Demonstration 8.8: Running Frequencies
137(1)
Writing Box 8.1: Description of ABINDEX
138(1)
Conclusion
138(1)
Main Points
139(1)
Key Terms
139(1)
SPSS Statistics Commands Introduced in This
Chapter
139(1)
Review Questions
139(2)
SPSS Statistics Lab Exercise 8.1
141(2)
Chapter 9 Suggestions for Further Analysis
143(16)
Desired Family Size
143(1)
Demonstration 9.1: Respondents' Ideal Family Size (CHLDIDEL)
144(1)
Writing Box 9.1
145(1)
Child-Rearing
145(1)
Demonstration 9.2: Important Qualities for Children
145(3)
Writing Box 9.2
148(1)
Attitudes About Sexual Behavior
148(1)
Demonstration 9.3: Index of Sexual Permissiveness
149(3)
SPSS Statistics Command 9.1: Setting Values and Labels as "Missing" Using "Range Plus One" Option
149(2)
Writing Box 9.3: Description of SEXPERM Index
151(1)
Prejudice
152(2)
Writing Box 9.4
154(1)
Conclusion
154(1)
Main Points
154(1)
Key Term
155(1)
SPSS Statistics Command Introduced in This
Chapter
155(1)
Review Questions
155(2)
SPSS Statistics Lab Exercise 9.1
157(2)
Part III Bivariate Analysis 159(150)
Chapter 10 Examining the Sources of Religiosity
161(20)
The Deprivation Theory of Religiosity
161(1)
Testing Our Hypothesis: Correlating Religiosity and Gender
162(1)
Demonstration 10.1: Running Crosstabs to Test Our Hypothesis
162(4)
Examining Your Output
164(2)
SPSS Statistics Command 10.1: Running Crosstabs-Specifying the Dependent and Independent Variables
165(1)
Interpreting Crosstabs
166(1)
Interpreting Crosstabs: Association, Strength, and Direction
166(1)
Demonstration 10.2: Interpreting a Crosstab With Limited Categories
166(2)
First Question: Is There an Association?
166(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(2)
Interpreting Crosstabs With Ordinal Variables
170(1)
Examining Your Output
171(1)
Demonstration 10.5: Correlating Other Measures of Religiosity and Age
171(3)
Writing Box 10.2
173(1)
Epsilon
173(1)
Conclusion
174(1)
Main Points
174(1)
Key Terms
175(1)
SPSS Statistics Command Introduced in This
Chapter
175(1)
Review Questions
175(2)
SPSS Statistics Lab Exercise 10.1
177(4)
Chapter 11 Political Orientations as Cause and Effect
181(20)
The Relationship Between POLVIEWS and PARTYID
181(1)
Demonstration 11.1: POLREC by PARTY
181(1)
Demonstration 11.2: PARTY by POLREC
182(1)
Age and Politics
183(1)
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
184(1)
Religion and Politics
185(1)
Demonstration 11.5: POLREC by RELIC
185(1)
Demonstration 11.6: PARTY by RELIC
186(1)
Gender and Politics
187(1)
Demonstration 11.7: PARTY and POLREC by SEX
187(2)
Race and Politics
189(1)
Demonstration 11.8: POLREC by RACE
189(1)
Demonstration 11.9: PARTY by RACE
189(1)
Education and Politics
190(1)
Demonstration 11.10: Recoding EDUC EDCAT
190(2)
Demonstration 11.11: POLREC by EDCAT
192(1)
Demonstration 11.12: PARTY by EDCAT
193(1)
Some Surprises: Class, Marital Status, and Politics
194(1)
Social Class
194(1)
Marital Status
195(1)
The Impact of Party and Political Philosophy
195(1)
Saving Recoded Variable: EDCAT
195(1)
Conclusion
195(1)
Main Points
195(1)
Key Terms
196(1)
SPSS Statistics Commands Introduced in This
Chapter
196(1)
Review Questions
196(1)
SPSS Statistics Lab Exercise 11.1
197(4)
Chapter 12 What Causes Different Attitudes Toward Abortion?
201(18)
Demonstration 12.1: Gender and Abortion
201(2)
Demonstration 12.2: Age and Abortion
203(1)
Demonstration 12.3: Religion and Abortion
204(3)
Writing Box 12.1
207(1)
Demonstration 12.4: Politics and Abortion
207(1)
Writing Box 12.2
208(1)
Demonstration 12.5: Sexual Attitudes and Abortion
208(3)
Other Factors You Can Explore on Your Own
211(1)
Conclusion
211(1)
Main Points
212(1)
Key Terms
212(1)
SPSS Statistics Commands Introduced in This
Chapter
212(1)
Review Questions
212(1)
SPSS Statistics Lab Exercise 12.1
213(6)
Chapter 13 Measures of Association for Nominal and Ordinal Variables
219(26)
The Logic of Statistical Association: Proportionate Reduction of Error
219(1)
Lambda: A Measure Appropriate for Nominal Variables
220(2)
An Indication of Strength of Association
220(1)
Example 1: The Logic of Lambda
220(1)
Example 2: The Logic of Lambda
221(1)
Demonstration 13.1: Instructing SPSS Statistics to Calculate Lambda (X)
222(2)
Interpreting Lambda and Other Measures
224(2)
Caveat: Interpreting Lambdas of 0.00
225(1)
Writing Box 13.1
226(1)
SPSS Statistics Command 13.1: Running Crosstabs With Lambda (XI
226(1)
Gamma: A Measure Appropriate for Ordinal Variables
226(6)
An Indication of Strength and Direction (With a Caveat) of Association
226(2)
Example 1: The Logic of Gamma
228(3)
Example 2: The Logic of Gamma
231(1)
Demonstration 13.2: Instructing SPSS Statistics to Calculate Gamma-Example 1
232(2)
Writing Box 13.2
234(1)
Demonstration 13.3: Running Gamma-Example 2 (Reverse Scoring Case)
234(3)
SPSS Statistics Command 13.2: Running Crosstabs With Gamma 171
237(1)
Additional Measures of Association
237(1)
Analyzing the Association Between Variables at Different Levels of Measurement
238(1)
Conclusion
238(1)
Main Points
239(1)
Key Terms
239(1)
SPSS Statistics Commands Introduced in This
Chapter
239(1)
Review Questions
239(2)
SPSS Statistics Lab Exercise 13.1
241(4)
Chapter 14 Correlation and Regression Analysis
245(28)
Pearson's r: A Measure Appropriate for Interval/Ratio Variables
245(4)
An Indication of Strength and Direction of Association
245(1)
Example 1: The Logic of Pearson's r
245(4)
Interpreting Pearson's r and the Coefficient of Determination (r2)
249(1)
Instructing SPSS Statistics to Calculate Pearson's r
250(1)
Demonstration 14.1: Recoding RINCOM16 RECINC
250(4)
Demonstration 14.2: Using SPSS Statistics to Compute Pearson's r
254(2)
SPSS Statistics Command 14.1: Producing a Correlation Matrix With Pearson's r
256(1)
Demonstration 14.3: Requesting Several Correlation Coefficients
256(3)
Writing Box 14.1
258(1)
A Note of Caution
258(1)
Regression Analysis
259(1)
Example 1: The Logic of Regression
259(1)
Demonstration 14.4: Regression
260(3)
SPSS Statistics Command 14.2: Regression
263(1)
Demonstration 14.5: Presenting Data Graphically-Producing a Scatterplot With a Regression Line
263(4)
An Indication of Direction and Strength of Association
266(1)
Writing Box 14.2
267(7)
SPSS Statistics Command 14.3: Producing a Scatterplot With a Regression Line
267(1)
Measures of Association for Interval and Ratio Variables
267(1)
Analyzing the Association Between Variables at Different Levels of Measurement
268(1)
Conclusion
268(1)
Main Points
269(1)
Key Terms
269(1)
SPSS Statistics Commands Introduced in This
Chapter
269(1)
Review Questions
269(2)
SPSS Statistics Lab Exercise 14.1
271(2)
Chapter 15 Tests of Significance
273(26)
Statistical Significance
273(1)
Significance Tests: Part of the Larger Body of Inferential Statistics
273(1)
Statistical Significance Versus Measures of Association
274(1)
Chi-Square (X2)
274(4)
The Logic of Statistical Significance: Chi-Square 1X21
274(4)
Demonstration 15.1: Instructing SPSS Statistics to Calculate Chi-Square
278(2)
Reading Your Output
279(1)
SPSS Statistics Command 15.1: Producing Crosstabs With Chi-Square
280(1)
Practice Running Chi-Square
280(1)
Writing Box 15.1
280(1)
Significance and Association
280(3)
t Tests
281(2)
Demonstration 15.2: Instructing SPSS Statistics to Run Independent-Samples t Test
283(2)
Reading Your Output
285(1)
SPSS Statistics Command 15.2: Running t Test (Independent-Samples t Test)
285(1)
Demonstration 15.3: t Test-EDUC by SEX
285(2)
Analysis of Variance
287(1)
Demonstration 15.4: Instructing SPSS Statistics to Run ANOVA
287(3)
Reading Your Output
287(3)
SPSS Statistics Command 15.3: ANOVA (GLM Univariate)
290(1)
Writing Box 15.2
290(1)
A Statistical Toolbox: A Summary
290(1)
Conclusion
291(1)
Main Points
292(1)
Key Terms
292(1)
SPSS Statistics Commands Introduced in This
Chapter
292(1)
Review Questions
292(3)
SPSS Statistics Lab Exercise 15.1
295(4)
Chapter 16 Suggestions for Further Bivariate Analyses
299(10)
Demonstration 16.1: Desired Family Size
299(2)
Writing Box 16.1
301(1)
Child-Rearing
301(1)
Attitudes About Sexual Behavior
302(1)
Demonstration 16.2: Investigating Sexual Permissiveness Further
302(1)
Writing Box 16.2
302(1)
Prejudice
302(1)
Additional Resources
303(1)
Conclusion
303(1)
Main Points
304(1)
Key Terms
304(1)
SPSS Statistics Commands Introduced in This
Chapter
304(1)
Review Questions
304(1)
SPSS Statistics Lab Exercise 16.1
305(4)
Part IV Multivariate Analysis 309(74)
Chapter 17 Multiple Causation: Examining Religiosity in Greater Depth
311(22)
Multiple Causation
311(1)
Demonstration 17.1: The Impact of Age and Sex on Religiosity
311(4)
SPSS Statistics Command 17.1: Running Crosstabs With a Control or Third Variable
315(1)
Demonstration 17.2: Family Status and Religiosity
315(1)
Demonstration 17.3: Family Status and Religiosity, Controlling for Age
315(3)
Demonstration 17.4: Social Class and Religiosity
318(1)
Writing Box 17.1
319(1)
Other Variables to Explore
319(1)
Chi-Square and Measures of Association
320(1)
Chi-Square (301
320(1)
Measures of Association
320(1)
Multiple Regression
320(6)
Dummy Variables
320(1)
Recoding SEX to Create a Dummy Variable: MALE
321(1)
Recoding RACE to Create a Dummy Variable: WHITE
321(3)
SPSS Statistics Command 172: Recoding to Create a Dummy Variable
324(1)
Multiple Regression
324(11)
SPSS Statistics Command 17.3: Multiple Regression
326(1)
Conclusion
326(1)
Main Points
327(1)
Key Terms
327(1)
SPSS Statistics Commands Introduced in This
Chapter
327(1)
Review Questions
327(2)
SPSS Statistics Lab Exercise 17.1
329(4)
Chapter 18 Dissecting the Political Factor
333(14)
Political Philosophy and Party Identification
333(1)
Demonstration 18.1: Controlling for Education
334(1)
Demonstration 18.2: The Mystery of Politics and Marital Status
335(4)
Recoding MARITAL
335(1)
POLREC by MARITAL2
335(1)
POLREC by MARITAL2 by AGECAT
335(2)
POLREC by MARITAL2 by SEX
337(1)
POLREC by MARITAL2 by EDCAT
337(1)
POLREC by MARITAL2 by RACE
337(1)
POLREC as Independent Variable
338(1)
Writing Box 18.1
339(1)
Political Issues
339(1)
Conclusion
340(1)
Main Points
340(1)
Key Terms
340(1)
SPSS Statistics Commands Introduced in This
Chapter
340(1)
Review Questions
341(2)
SPSS Statistics Lab Exercise 18.1
343(4)
Chapter 19 A Powerful Prediction of Attitudes Toward Abortion
347(24)
Religion and Abortion
347(1)
Demonstration 19.1: Religious Affiliation and Church Attendance
347(2)
Demonstration 19.2: Religious Affiliation, Church Attendance, and Abortion
349(5)
Recoding RELIG and ATTEND Into Different Variables
350(3)
SPSS Statistics Command 19.1: Recoding Into Different Variables
350(3)
Crosstab Recoded Variables
353(1)
Relationship Between ABORT and Recoded Items
353(1)
Politics (POLREC, PARTY) and Abortion (ABORT)
354(1)
Demonstration 19.3: The Interaction of Religion and Politics on Abortion Attitudes
355(1)
Demonstration 19.4: Constructing an Index of Ideological Traditionalism
356(6)
Step 1: Create IND
357(1)
Step 2: Assign Points-If Liberal (11 on POLREC, Get Two Points on IND
357(1)
Step 3: Assign Points-If Moderate (2) on POLREC, Get One Point on IND
358(1)
Step 4: Assign Points-If None (2) on RELIG2, Get One Point on IND
358(1)
Step 5: Assign Points-If Seldom (2) on ATTEND2, Get One Point on IND
358(1)
Step 6: Handle Missing Data
359(1)
Step 7: Define IND
360(2)
SPSS Statistics Command 19.2: Creating an Index Using Compute Variable
361(1)
Run Frequencies to Check IND
362(1)
Does IND Predict Attitudes Toward Abortion?
362(1)
Sexual Attitudes and Abortion
362(1)
Demonstration 19.5: Recode PREMARSX and HOMOSEX
363(2)
Writing Box 19.1
365(1)
Demonstration 19.6: The Relationship Between Sexual Permissiveness and IND
365(1)
Conclusion
365(1)
Main Points
366(1)
Key Terms
366(1)
SPSS Statistics Commands Introduced in This
Chapter
366(1)
Review Questions
366(1)
SPSS Statistics Lab Exercise 19.1
367(4)
Chapter 20 Suggestions for Further Multivariate Analyses
371(12)
Ideal Family Size and Abortion
371(1)
Writing Box 20.1
372(1)
Child-Rearing
372(1)
The Protestant Ethic
373(1)
Capital Punishment, Gender, and Race
373(1)
Demonstration 20.1: CAPPUN by SEX
374(1)
Demonstration 20.2: CAPPUN by SEX, Controlling for RACE
375(2)
Conclusion
377(1)
Main Points
377(1)
Key Term
377(1)
SPSS Statistics Commands Introduced in This
Chapter
378(1)
Review Questions
378(1)
SPSS Statistics Lab Exercise 20.1
379(4)
Part V The Adventure Continues 383(28)
Chapter 21 Designing and Executing Your Own Survey
385(20)
The Social Research Process and Proposal
385(1)
Designing and Executing Your Own Survey
386(1)
Sample Questionnaire
387(1)
Getting Ready for Data Analysis Using SPSS Statistics
387(1)
Step 1: Define Your Data
387(1)
Demonstration 21.1: Example 1-Defining ID
387(5)
Variable Names
388(1)
Type
388(1)
Decimal
389(1)
Width
389(1)
Label
390(1)
Values
390(1)
Missing
391(1)
Columns and Align
391(1)
Measure
391(1)
Demonstration 21.2: Example 2-Defining CHLDIDEL
392(2)
SPSS Statistics Command 21.1: Defining a Variable
393(1)
Copying Variables With Shared Attributes: Abortion Variables
394(1)
Demonstration 21.3: Copying a Variable
394(2)
SPSS Statistics Command 21.2: Copying a Variable
396(1)
Demonstration 21.4: Saving Your New File
396(1)
SPSS Statistics Command 21.3: Saving a New Data File
397(1)
LOCAL.SAV
397(1)
Step 2: Edit and Code Your Data
397(1)
Unique ID Number
398(1)
Coding Open-Ended Questions
398(1)
Ensuring That Codes Are Easy to Read
398(1)
Editing Questionnaires
398(1)
Demonstration 21.5: Accessing File Information for Coding and Editing
398(1)
SPSS Statistics Command 21.4: Accessing File Information for Coding and Editing
399(1)
Step 3: Enter Your Raw Data
399(1)
Demonstration 21.6: Moving Through Data View
399(1)
SPSS Statistics Command 21.5: Some Tips for Moving Through Data View
399(1)
Demonstration 21.7: Entering Data
400(1)
SPSS Statistics Command 21.6: Entering Numeric Data
400(1)
Demonstration 21.8: Revising or Deleting Data
400(1)
SPSS Statistics Command 21.7: Deleting an Entire Case
400(1)
Demonstration 21.9: Saving Your Data File
400(1)
Writing a Research Report
400(1)
Conclusion
401(1)
Main Points
401(1)
Key Terms
401(1)
SPSS Statistics Commands Introduced in This
Chapter
402(1)
Review Questions
402(1)
SPSS Statistics Lab Exercise 21.1
403(2)
Chapter 22 Further Opportunities for Social Research
405(6)
The Unabridged GSS
405(1)
Other Data Sets
406(2)
Other Computer Programs
408(1)
Conclusion
409(1)
Main Points
409(1)
Key Term
409(1)
SPSS Statistics Commands Introduced in This
Chapter
409(1)
Review Questions
410(1)
Appendix A: The Codebook 411(44)
Appendix B: Questionnaire for Class Survey 455(14)
Index/Glossary 469
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.