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SPSS Companion to Political Analysis 4th Revised edition [Pehme köide]

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  • Formaat: Paperback / softback, 288 pages, kõrgus x laius: 279x215 mm, kaal: 700 g
  • Ilmumisaeg: 07-Sep-2011
  • Kirjastus: CQ Press
  • ISBN-10: 1608716872
  • ISBN-13: 9781608716876
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SPSS Companion to Political Analysis 4th Revised editionSuurem pilt
  • Formaat: Paperback / softback, 288 pages, kõrgus x laius: 279x215 mm, kaal: 700 g
  • Ilmumisaeg: 07-Sep-2011
  • Kirjastus: CQ Press
  • ISBN-10: 1608716872
  • ISBN-13: 9781608716876
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781608716876.html
Märksõnad:
In this much-anticipated revision of the popular SPSS workbook, students dive headfirst into actual political data and work with a software tool that prepares them for future political-science research. Students learn by doing with guided examples, more than 120 screenshots, and step-bystep instructions.





Compatible with all releases of SPSS (12.0 through 19.0, as well as the student version), the new Fourth Edition includes brand-new or completely revised exercises. Two new data sets (2008 NES and 2008 GSS) and two revised data sets (on the 50 states and on 191 countries of the world) feature an expanded number of variables to provide greater latitude for performing original analysis.
Tables and Figures
ix
Preface xiii
Getting Started
1(244)
Dataset CD
2(2)
SPSS Full Version and SPSS Student Version: What Is the Difference?
4(1)
Installing Student Version
5(1)
Notes
5(2)
Chapter 1 Introduction to SPSS
7(10)
The Data Editor
8(2)
A Must-Do: Setting Options for Variable Lists
10(1)
The Viewer
11(4)
Selecting, Printing, and Saving Output
14(1)
Exercises
15(2)
Chapter 2 Descriptive Statistics
17(24)
Interpreting Measures of Central Tendency and Variation
17(1)
Describing Nominal Variables
18(2)
Describing Ordinal Variables
20(3)
Describing Interval Variables
23(3)
Obtaining Case-level Information with Case Summaries
26(3)
Exercises
29(11)
Notes
40(1)
Chapter 3 Transforming Variables
41(20)
Using Recode
41(9)
Recoding a Categorical Variable
41(5)
Recoding an Interval-level Variable
46(4)
Using Visual Binning
50(3)
Collapsing an Interval-level Variable with Visual Binning
50(3)
Using Compute
53(5)
Exercises
58(2)
Notes
60(1)
Chapter 4 Making Comparisons
61(32)
Cross-tabulation Analysis
61(2)
Mean Comparison Analysis
63(2)
Graphing Relationships
65(7)
Using Line Chart
66(3)
Using Bar Chart
69(3)
Using the Chart Editor
72(3)
Exercises
75(16)
Notes
91(2)
Chapter 5 Making Controlled Comparisons
93(30)
Cross-tabulation Analysis with a Control Variable
93(5)
Graphing Relationships with a Control Variable
98(5)
Mean Comparison Analysis with a Control Variable
103(6)
Example of an Interaction Relationship
103(4)
Example of an Additive Relationship
107(2)
Exercises
109(13)
Notes
122(1)
Chapter 6 Making Inferences about Sample Means
123(16)
Descriptives and One-Sample T Test
124(7)
Independent-Samples T Test
131(4)
Exercises
135(3)
Notes
138(1)
Chapter 7 Chi-square and Measures of Association
139(20)
Analyzing an Ordinal-level Relationship
140(3)
Summary
143(1)
Analyzing an Ordinal-level Relationship with a Control Variable
143(3)
Analyzing a Nominal-level Relationship with a Control Variable
146(4)
A Problem with Lambda
148(2)
Exercises
150(7)
Notes
157(2)
Chapter 8 Correlation and Linear Regression
159(24)
Correlation and Bivariate Regression
159(5)
Scatterplots
164(6)
Multiple Regression
170(3)
Exercises
173(7)
Notes
180(3)
Chapter 9 Dummy Variables and Interaction Effects
183(22)
Regression with Dummy Variables
183(6)
Interaction Effects in Multiple Regression
189(3)
Using Compute for Interaction Variables
192(3)
Exercises
195(7)
Notes
202(3)
Chapter 10 Logistic Regression
205(26)
Using Regression → Binary Logistic
206(4)
Logistic Regression with Multiple Independent Variables
210(2)
Working with Predicted Probabilities: Models with One Independent Variable
212(5)
Working with Predicted Probabilities: Models with Multiple Independent Variables
217(7)
The Sample Averages Method
217(2)
The Probability Profile Method
219(5)
Exercises
224(4)
Notes
228(3)
Chapter 11 Doing Your Own Political Analysis
231(14)
Five Doable Ideas
231(2)
Political Knowledge
232(1)
Economic Performance and Election Outcomes
232(1)
State Courts and Criminal Procedure
232(1)
Electoral Turnout in Comparative Perspective
233(1)
Congress
233(1)
Inputting Data
233(7)
SPSS Formatted Datasets
233(1)
Microsoft Excel Datasets
234(5)
PDF Format or Hand-coded Data
239(1)
Writing It Up
240(3)
The Research Question
242(1)
Previous Research
242(1)
Data, Hypotheses, and Analysis
242(1)
Conclusions and Implications
243(1)
Notes
243(2)
Appendix
245
Table A-1 Descriptions of Constructed Variables in GSS2008
245(3)
Table A-2 Descriptions of Variables in States
248(6)
Table A-3 Descriptions of Variables in World
254(3)
Table A-4 Descriptions of Variables and Constructed Scales in NES2008
257
Philip H. Pollock III is a professor of political science at the University of Central Florida. He has taught courses in research methods at the undergraduate and graduate levels for more than thirty years. His main research interests are American public opinion, voting behavior, techniques of quantitative analysis, and the scholarship of teaching and learning. His recent research has been on the effectiveness of Internet-based instruction. Pollocks research has appeared in the American Journal of Political Science, Social Science Quarterly, and the British Journal of Political Science. Recent scholarly publications include articles in Political Research Quarterly, the Journal of Political Science Education, and PS: Political Science and Politics.