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E-grāmata: Understanding Political Science Statistics using SPSS: A Manual with Exercises

(University of California, San Diego, USA)
  • Formāts: 196 pages
  • Izdošanas datums: 05-Jul-2017
  • Izdevniecība: Routledge
  • ISBN-13: 9781351538053
  • Formāts - EPUB+DRM
  • Cena: 47,58 €*
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  • Formāts: 196 pages
  • Izdošanas datums: 05-Jul-2017
  • Izdevniecība: Routledge
  • ISBN-13: 9781351538053

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This manual walks students through the procedures for analysis in SPSS and provides exercises that go hand-in-hand with online data sets. The manual complements the textbook Understanding Political Science Statistics: Observations and Expectations in Political Analysis, by Peter Galderisi, making it easy to use alongside the book in a course or as a stand-alone guide to using SPSS. Galderisi demonstrates how to use both syntax and GUI driven formats and shows sample results of the analyses. Filled with annotated screenshots from SPSS version 22 (but compatible with all versions, including the student version), the students will be guided through standard processes replete with examples and exercises to ready them for future work in political science research.

The diverse group of data sets provided include subsamples of both the 2008 and 2012 American National Election Studies, a Eurobarometer survey, single year and longitudinal congressional district files, the 2012 Comparative Congressional Election Study data set, and a comparative, crossnational country file. Versions with reduced case numbers and variables are also included that are compatible with the student version.

This manual (and a parallel Stata manual) are available as stand-alone products or packaged with the textbook Understanding Political Science Statistics, and data sets are available at www.routledge.com/cw/galderisi.

Recenzijas

"Walking step by step through analysis of real datasets, this guide takes the guesswork out of SPSS for students, and takes the work out of an example-based approach for their professors. Real datasets such as the ANES DW Nominate Scores aren't easy to for students to work with, but Galderisi's clear approach takes the guesswork and confusion out of it." Dan Cassino, Fairleigh Dickinson University

In courses on research methods, instructors often find themselves spending just as much time teaching students how to use a particular statistical program, such as SPSS, as they do on the course material. This manual helps address this problem by teaching students how to use SPSS and providing built-in exercises for practice or homework, so instructors can spend more class time focused on the course material. Will Hatcher, Eastern Kentucky University

Galderisis manual presents a wealth of information and many opportunities for students to learn how to conduct political research, including step-by-step walkthroughs and student exercises, providing the program and analytical skills that every student needs to become a proficient researcher. Mack Shelley, Iowa State University "Walking step by step through analysis of real datasets, this guide takes the guesswork out of SPSS for students, and takes the work out of an example-based approach for their professors. Real datasets such as the ANES and DW Nominate Scores aren't easy to for students to work with, but Galderisi's clear approach takes the guesswork and confusion out of it." Dan Cassino, Fairleigh Dickinson University

In courses on research methods, instructors often find themselves spending just as much time teaching students how to use a particular statistical program, such as SPSS, as they do on the course material. This manual helps address this problem by teaching students how to use SPSS and providing built-in exercises for practice or homework, so instructors can spend more class time focused on the course material. Will Hatcher, Eastern Kentucky University

Galderisis manual presents a wealth of information and many opportunities for students to learn how to conduct political research, including step-by-step walkthroughs and student exercises, providing the program and analytical skills that every student needs to become a proficient researcher. Mack Shelley, Iowa State University

Acknowledgments vii
1 General Overview: Introduction to Using SPSS for Data Analysis
1(11)
1.1 SPSS File Types
2(2)
1.2 First Steps
4(8)
Downloading Data Files
4(1)
Protecting Data Files
4(3)
Opening a Syntax Window (All Examples Use the Full Version of SPSS 22)
7(1)
General Rules for Using SPSS in Syntax Mode
8(2)
General Rules for Using SPSS in GUI (MENU) Mode
10(2)
2 Setting Up the SPSS Data File for Analysis
12(5)
2.1 GET FILE
13(1)
2.2 WEIGHT
14(3)
3 Commonly Used SPSS Commands---Operationalization
17(32)
3.1 RECODE
18(17)
RECODE: Sample Exercises
32(3)
3.2 COMPUTE
35(5)
COMPUTE: Sample Exercises
38(2)
3.3 IF
40(5)
IF: Sample Exercises
43(2)
3.4 SELECT IF
45(4)
SELECT IF: Sample Exercises
47(2)
4 Commonly Used SPSS Commands---Data Analysis
49(63)
4.1 FREQUENCIES
49(10)
Sample Exercises
57(2)
4.2 MEANS
59(4)
Sample Exercises
62(1)
4.3 T-TEST
63(13)
Form 1 One Sample, One or More Variables Tested against a Hypothesized Population Value
64(2)
Form 2 One Sample, Two Variables (Paired Samples---"Dependent" Test)
66(3)
Form 3 One or More Variables, Two Different Subsamples ("Independent Samples Test")
69(5)
Sample Exercises
74(2)
4.4 NPAR: Tests for Proportions
76(6)
Form 1 Dichotomous Proportions
76(2)
Form 2 Single Variable Chi-Square---Equal Expectations
78(1)
Form 3 Single Variable Chi-Square---Specified Expectations
79(2)
Sample Exercises
81(1)
4.5 CROSSTABS
82(11)
Sample Exercises
91(2)
4.6 REGRESSION (Simple Linear)
93(19)
Plots
101(8)
Sample Exercises
109(3)
5 Executing Your Syntax and Saving Your Output
112(7)
Appendix A Codebooks for Data Files (SPSS.sav files)
119(56)
A1 ANES2008 Codebook
120(13)
A2 ANES2012 Codebook
133(14)
A3 CONGRESS2008 Codebook
147(3)
A4 CONGRESS2008--2012 Codebook
150(5)
A5 Eurobarometer 69:2 Codebook
155(6)
A6 CCES2012 Codebook
161(10)
A7 CROSSNAT Codebook
171(4)
Appendix B An Example of a Term-Wide Set of Computer Exercises---ANES2012A
175
Exercise 1 Trial Run---Opening a Data Set
175(1)
Exercise 2 Visualizing Data
176(1)
Exercise 3 MEANS
177(1)
Exercise 4 T-TESTS
178(2)
Exercise 5 CROSSTABS
180(3)
Exercise 6 Using REGRESSIONS
183(1)
Exercise 7
183
Peter Galderisi has taught political science methods and statistics for more than three decades, and is currently a lecturer and local internship director in the Political Science Department at the University of California, San Diego. Previously, Galderisi was a Professor or Visiting Professor at Utah State, UCLA, UC Santa Cruz, and Cal State Fullerton. He specializes in U.S. political parties, campaigns and elections, American political development, interest groups, and election law.