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Stata® Companion to Political Analysis 3rd Revised edition [Pehme köide]

3.59/5 (74 hinnangut Goodreads-ist)
  • Formaat: Paperback / softback, 216 pages, kõrgus x laius: 279x215 mm, kaal: 230 g
  • Ilmumisaeg: 17-Mar-2015
  • Kirjastus: CQ Press
  • ISBN-10: 1452240426
  • ISBN-13: 9781452240428
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Stata® Companion to Political Analysis 3rd Revised editionSuurem pilt
  • Formaat: Paperback / softback, 216 pages, kõrgus x laius: 279x215 mm, kaal: 230 g
  • Ilmumisaeg: 17-Mar-2015
  • Kirjastus: CQ Press
  • ISBN-10: 1452240426
  • ISBN-13: 9781452240428
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781452240428.html
Märksõnad:
Pollock presents students and educators with the third edition of his workbook companion to his Essentials of Political Science, with more than forty exercises, annotated screen shots, custom datasets, and additional information regarding the use of Stata and its special capabilities. The workbook follows the organization of its companion text, with eleven chapters, covering Stata, descriptive statistics, transforming variables, making comparisons, making controlled comparisons, making inferences about sample means, chi-square and measures of association, correlation and linear regression, dummy variables and interaction effects, logistic regression, and doing your own political analysis. Philip H. Pollock, III is a faculty member of the University of Central Florida. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)

Arvustused

"The book is an outstanding primer for Stata, both wide in scope and highly accessible.  Its nice that the book obviously complements Pollocks main textbook but, unlike many other "companions," does not require it. The book covers most topics that undergraduates will need in an introductory class in a sensible way.  I think that it is calibrated very well to its audience, which is why I keep assigning it." -- Matthew Wright "The key advantage of the book is that it presumes no student knowledge and does a magnificent job in terms of guiding students through the process of interacting with Stata." -- Ryan Black

Figures
ix
Preface xi
Introduction: Getting Started xiii
Datasets xiv
Chapter 1 Introduction to Stata
1(12)
Information about a Dataset
2(1)
Information about Variables
2(2)
Do-files
4(1)
Log Files
4(1)
Printing Results and Copying Output
5(2)
A Closer Look: Weighting the gss2012 and nes2012 Datasets
7(1)
Getting Help
8(2)
Exercises
10(1)
Notes
11(2)
Chapter 2 Descriptive Statistics
13(24)
Interpreting Measures of Central Tendency and Variation
13(1)
Describing Nominal Variables
14(2)
Describing Ordinal Variables
16(1)
Describing Interval Variables
17(4)
Obtaining Bar Charts and Histograms
21(4)
Obtaining Case-Level Information with sort and list
25(2)
Exercises
27(9)
Notes
36(1)
Chapter 3 Transforming Variables
37(16)
Transforming Categorical Variables
38(2)
Transforming Interval Variables
40(2)
A Closer Look: The xtile Command
42(2)
The label define and label values Commands
44(1)
Creating an Additive Index
45(2)
Creating Indicator Variables
47(2)
Exercises
49(3)
Notes
52(1)
Chapter 4 Making Comparisons
53(28)
Cross-Tabulation Analysis
53(2)
Mean Comparison Analysis
55(2)
A Closer Look: The format Command
57(1)
Graphing an Interval-Level Dependent Variable
57(4)
Graphing a Categorical Dependent Variable
61(1)
A Closer Look: The replace Command
62(1)
Strip Charts: Graphs for Small-n Datasets
63(3)
Exercises
66(13)
Notes
79(2)
Chapter 5 Making Controlled Comparisons
81(22)
Cross-Tabulation Analysis with a Control Variable
82(2)
A Closer Look: The If Qualifier
84(2)
Bar Charts for Controlled Comparisons with a Categorical Dependent Variable
86(1)
Mean Comparison Analysis with a Control Variable
87(1)
An Example of Interaction
87(1)
An Example of an Additive Relationship
88(1)
Bar Charts and Box Plots for Controlled Mean Comparisons
89(2)
Exercises
91(10)
Notes
101(2)
Chapter 6 Making Inferences about Sample Means
103(10)
Describing a Sample Mean
104(2)
Testing the Difference between Two Sample Means
106(1)
Extending the mean and lincom Commands
107(2)
Exercises
109(3)
Notes
112(1)
Chapter 7 Chi-Square and Measures of Association
113(18)
Analyzing Ordinal-Level Relationships
114(3)
Summary
117(1)
Analyzing an Ordinal-Level Relationship with a Control Variable
118(2)
Analyzing Nominal-Level Relationships
120(1)
Analyzing Unweighted Data with the tabulate Command
121(1)
Exercises
122(7)
Notes
129(2)
Chapter 8 Correlation and Linear Regression
131(18)
The correlate Command and the regress Command
131(3)
A Closer Look: R-Squared and Adjusted R-Squared: What's the Difference?
134(1)
Creating a Scatterplot with a Linear Prediction Line
135(1)
Multiple Regression
136(2)
A Closer Look: Bubble Plots
138(1)
Correlation and Regression with Weighted Data
138(2)
Exercises
140(7)
Notes
147(2)
Chapter 9 Dummy Variables and Interaction Effects
149(18)
Regression with Dummy Variables
149(4)
A Closer Look: The test Command
153(1)
Interaction Effects in Multiple Regression
154(3)
Graphing Linear Prediction Lines for Interaction Relationships
157(3)
Exercises
160(6)
Notes
166(1)
Chapter 10 Logistic Regression
167(22)
The logit Command and the logistic Command
168(3)
Logistic Regression with Multiple Independent Variables
171(2)
A Closer Look: The estimates Command and the lrtest Command
173(2)
Working with Predicted Probabilities
175(1)
The margins Command with the atmeans Option
176(3)
The margins Command with the over Option
179(3)
MERS-MEMS Hybrids
182(1)
Exercises
182(5)
Notes
187(2)
Chapter 11 Doing Your Own Political Analysis
189(9)
Five Doable Ideas
189(1)
Political Knowledge
190(1)
Economic Performance and Election Outcomes
190(1)
State Courts and Criminal Procedure
190(1)
Electoral Turnout in Comparative Perspective
191(1)
Congress
191(1)
Inputting Data
191(1)
Stata Formatted Datasets
191(1)
Microsoft Excel Datasets
192(2)
Writing It Up
194(3)
The Research Question
197(1)
Previous Research
198(1)
Data, Hypotheses, and Analysis
198(1)
Conclusions and Implications 198(1)
Notes 199
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.