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9781412927178

Making Sense of the Social World : Methods of Investigation

by ;
  • ISBN13:

    9781412927178

  • ISBN10:

    141292717X

  • Edition: 2nd
  • Format: Paperback
  • Copyright: 2006-02-16
  • Publisher: Pine Forge Press
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Summary

In this Second Edition of the bestselling Making Sense of the Social World: Methods of Investigation, authors Daniel F. Chambliss and Russell K. Schutt once again provide students with an engaging, innovative, and accurate introduction to social research. More than a brief derivative of Schutt's widely successful Investigating the Social World, this version is written in a less formal, occasionally humorous style, with more concise examples drawn from everyday experience, and less coverage of complex or more rigorous methods.

Table of Contents

About the Authors xvii
Preface xix
Acknowledgments xxiii
Science, Society, and Social Research
1(20)
What Is the Problem?
2(6)
Overgeneralization
5(1)
Selective or Inaccurate Observation
5(2)
Illogical Reasoning
7(1)
Resistance to Change
7(1)
Can Social Scientists See the Social World More Clearly?
8(4)
Social Research in Practice
8(1)
Description: How Often Do Americans ``Neighbor?''
9(1)
Exploration: How Do Athletic Teams Build Player Loyalty?
10(1)
Explanation: Does Social Context Influence Adolescent Outcomes?
11(1)
Evaluation: Does More Social Capital Result in More Community Participation?
11(1)
How Well Have We Done Our Research?
12(4)
Measurement Validity
13(1)
Generalizability
13(2)
Causal Validity
15(1)
Conclusion
16(2)
Key Terms
18(1)
Highlights
18(1)
Exercises
19(2)
Discussing Research
19(1)
Finding Research
19(1)
Critiquing Research
20(1)
Doing Research
20(1)
The Process and Problems of Social Research
21(30)
What Is the Question?
22(1)
What Is the Theory?
23(2)
What Is the Strategy?
25(6)
Deductive Research
25(3)
Domestic Violence and the Research Circle
28(1)
Inductive Research
29(1)
An Inductive Study of Response to a Disaster
29(1)
Descriptive Research: A Necessary Step
30(1)
What Is the Design?
31(9)
Cross-Sectional Designs
31(1)
Longitudinal Designs
32(2)
Trend Designs
34(1)
Panel Designs
35(1)
Cohort Studies
36(1)
Units and Levels of Analysis
37(3)
But Is It Ethical?
40(6)
Honesty and Openness
41(1)
The Uses of Science
41(1)
Research on People
42(4)
Conclusion
46(1)
Key Terms
47(1)
Highlights
47(1)
Exercises
48(3)
Discussing Research
48(1)
Finding Research
49(1)
Critiquing Research
50(1)
Doing Research
50(1)
Conceptualization and Measurement
51(34)
What Do We Have in Mind?
52(4)
Conceptualization
52(3)
Variables and Constants
55(1)
How Will We Know When We've Found It?
56(10)
Using Available Data
58(1)
Constructing Questions
59(1)
Single Questions
60(1)
Indexes and Scales
61(2)
Making Observations
63(1)
Content Analysis
64(1)
Collecting Unobtrusive Measures
64(1)
Combining Measurement Operations
65(1)
How Much Information Do We Really Have?
66(5)
Nominal Level of Measurement
68(1)
Ordinal Level of Measurement
68(1)
Interval Level of Measurement
69(1)
Ratio Level of Measurement
70(1)
Comparison of Levels of Measurement
70(1)
Did We Measure What We Wanted To Measure?
71(8)
Measurement Validity
71(1)
Face Validity
72(1)
Content Validity
72(1)
Criterion Validity
72(1)
Construct Validity
73(1)
Reliability
74(1)
Test-Retest Reliability
75(1)
Interitem Reliability (Internal Consistency)
75(1)
Alternate-Forms Reliability
76(1)
Interobserver Reliability
76(1)
Can We Achieve Both Reliability and Validity?
76(3)
Conclusion
79(1)
Key Terms
79(1)
Highlights
80(1)
Exercises
80(5)
Discussing Research
80(1)
Finding Research
81(1)
Critiquing Research
81(2)
Doing Research
83(2)
Sampling
85(21)
How Do We Prepare to Sample?
86(4)
Define Sample Components and the Population
86(2)
Evaluate Generalizability
88(1)
Assess the Diversity of the Population
89(1)
Consider a Census
89(1)
What Sampling Method Should We Use?
90(12)
Probability Sampling Methods
91(3)
Simple Random Sampling
94(1)
Systematic Random Sampling
94(1)
Cluster Sampling
95(2)
Stratified Random Sampling
97(2)
Nonprobability Sampling Methods
99(1)
Availability Sampling
99(1)
Quota Sampling
99(2)
Purposive Sampling
101(1)
Snowball Sampling
101(1)
Conclusion
102(1)
Key Terms
102(1)
Highlights
103(1)
Exercises
104(2)
Discussing Research
104(1)
Finding Research
104(1)
Critiquing Research
104(1)
Doing Research
105(1)
Causation and Experimental Design
106(30)
Causal Explanation
107(1)
What Causes What?
108(3)
Association
108(1)
Time Order
108(1)
Nonspuriousness
109(1)
Mechanism
109(1)
Context
110(1)
Why Experiment?
111(2)
What If a True Experiment Isn't Possible?
113(6)
Nonequivalent Control Group Designs
115(2)
Before-and-After Designs
117(2)
Ex Post Facto Control Group Designs
119(1)
What Are the Threats to Validity in Experiments?
119(9)
Threats to Internal Causal Validity
120(1)
Noncomparable Groups
121(1)
Endogenous Change
122(1)
History
123(1)
Contamination
124(1)
Treatment Misidentification
124(1)
Generalizability
125(1)
Sample Generalizability
126(1)
Cross-Population Generalizability
126(2)
Interaction of Testing and Treatment
128(1)
How Do Experimenters Protect Their Subjects?
128(2)
Deception
128(2)
Selective Distribution of Benefits
130(1)
Conclusion
130(1)
Key Terms
131(1)
Highlights
132(1)
Exercises
133(3)
Discussing Research
133(1)
Finding Research
134(1)
Critiquing Research
134(1)
Doing Research
135(1)
Survey Research
136(29)
Why Is Survey Research So Popular?
137(1)
How Should We Write Survey Questions?
138(5)
Be Clear; Avoid Confusing Phrasing
138(1)
Minimize Bias
139(1)
Allow for Disagreement
140(1)
Don't Ask Questions They Can't Answer
140(1)
Allow for Uncertainty
141(1)
Make Response Categories Exhaustive and Mutually Exclusive
142(1)
How Should Questionnaires Be Designed?
143(3)
Build on Existing Instruments
143(1)
Refine and Test Questions
143(1)
Maintain Consistent Focus
144(1)
Order the Questions
144(1)
Make the Questionnaire Attractive
145(1)
What Are the Alternatives for Administering Surveys?
146(10)
Mailed, Self-Administered Surveys
147(1)
Group-Administered Surveys
148(2)
Telephone Surveys
150(1)
Reaching Sampling Units
150(1)
Maximizing Response to Phone Surveys
150(2)
In-Person Interviews
152(1)
Maximizing Response to Interviews
152(1)
Electronic Surveys
153(3)
A Comparison of Survey Designs
156(1)
Ethical Issues in Survey Research
157(2)
Conclusion
159(1)
Key Terms
160(1)
Highlights
160(1)
Exercises
161(4)
Discussing Research
161(1)
Finding Research
161(1)
Critiquing Research
162(2)
Doing Research
164(1)
Qualitative Methods: Observing, Participating, Listening
165(27)
What Are ``Qualitative'' Methods?
166(3)
Case Study: Beyond Caring
167(2)
How Does Participant Observation Become a Research Method?
169(10)
Choosing a Role
169(1)
Complete Observation
170(1)
Mixed Participation/Observation
171(1)
Complete Participation
172(1)
Entering the Field
172(2)
Developing and Maintaining Relationships
174(1)
Sampling People and Events
174(3)
Taking Notes
177(2)
Managing the Personal Dimensions
179(1)
How Do You Conduct Intensive Interviews?
179(5)
Establishing and Maintaining a Partnership
182(1)
Asking Questions and Recording Answers
182(2)
How Do You Run Focus Groups?
184(1)
Analyzing Qualitative Data
185(1)
The Phases of Analysis
185(1)
Ethical Issues in Qualitative Research
186(2)
Conclusion
188(1)
Key Terms
188(1)
Highlights
189(1)
Exercises
190(2)
Discussing Research
190(1)
Finding Research
190(1)
Critiquing Research
190(1)
Doing Research
191(1)
Qualitative Data Analysis
192(36)
What Is Distinctive About Qualitative Data Analysis?
193(5)
Qualitative Data Analysis as an Art
196(1)
Qualitative Compared to Quantitative Data Analysis
196(2)
What Techniques Do Qualitative Data Analysts Use?
198(11)
Documentation
199(1)
Conceptualization, Coding, and Categorizing
200(4)
Examining Relationships and Displaying Data
204(1)
Authenticating Conclusions
205(2)
Reflexivity
207(2)
What Are Some Alternatives in Qualitative Data Analysis?
209(10)
Ethnography
209(2)
Ethnomethodology
211(1)
Qualitative Comparative Analysis (QCA)
211(2)
Narrative Analysis
213(3)
Conversation Analysis
216(2)
Case-Oriented Understanding
218(1)
Grounded Theory
218(1)
Visual Sociology
219(2)
How Can Computers Assist Qualitative Data Analysis?
221(3)
What Ethical Issues Arise in Qualitative Data Analysis?
224(1)
Conclusions
225(1)
Key Terms
226(1)
Highlights
226(1)
Exercises
226(2)
Discussing Research
226(1)
Finding Research
226(1)
Critiquing Research
227(1)
Doing Research
227(1)
Elementary Quantitative Data Analysis
228(29)
Why Do Statistics?
229(1)
Case Study: The Likelihood of Voting
229(1)
How to Prepare Data for Analysis
229(1)
What Are the Options for Displaying Distributions?
230(8)
Graphs
232(4)
Frequency Distributions
236(2)
What Are the Options for Summarizing Distributions?
238(8)
Measures of Central Tendency
239(1)
Mode
239(1)
Median
240(1)
Mean
241(1)
Median or Mean?
241(2)
Measures of Variation
243(1)
Range
243(1)
Interquartile Range
243(1)
Variance
243(1)
Standard Deviation
244(2)
How Can We Tell Whether Two Variables Are Related?
246(5)
Reading the Table
247(2)
Controlling for a Third Variable
249(2)
Analyzing Data Ethically: How Not to Lie with Statistics
251(1)
Conclusion
252(1)
Key Terms
253(1)
Highlights
253(1)
Exercises
254(3)
Discussing Research
254(1)
Finding Research
254(1)
Critiquing Research
254(1)
Doing Research
255(2)
Reviewing, Proposing, and Reporting Research
257(26)
Comparing Research Designs
258(2)
Reviewing Research
260(6)
Case Study: ``Night as Frontier''
261(1)
The Research Design
261(1)
Analysis of the Design
262(1)
An Overall Assessment
263(1)
Case Study: When Does Arrest Matter?
263(1)
Summarize Prior Research
263(1)
Critique Prior Research
264(1)
Present Pertinent Conclusions
265(1)
Proposing New Research
266(7)
Case Study: Treating Substance Abuse
267(6)
Reporting Research
273(6)
Writing and Organizing
273(6)
Conclusion
279(1)
Highlights
280(1)
Exercises
281(2)
Discussing Research
281(1)
Finding Research
281(1)
Critiquing Research
281(1)
Doing Research
281(2)
Appendix A: Finding Information 283(11)
Elizabeth Schneider
Russell K. Schutt
Appendix B: Secondary Data Sources 294(13)
References 307(10)
Glossary/Index 317

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