A Stata companion to political analysis
著者
書誌事項
A Stata companion to political analysis
CQ Press, an imprint of SAGE publications, c2015
3rd ed
- : [pbk.]
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
This attractive and value-priced workbook, an ideal complement to Pollock's Essentials of Political Analysis, is a must-have for any political science student working with Stata.
目次
Chapter 1: Introduction to Stata
Information about a Dataset
Information about Variables
Do-Files
Log Files
Printing Results and Copying Output
A CLOSER LOOK: Weighting the gss2012 and nes2012 Datasets
Getting Help
Exercises
Notes
Chapter 2: Descriptive Statistics
Interpreting Measures of Central Tendency and Variation
Describing Nominal Variables
Describing Ordinal Variables
Describing Interval Variables
Obtaining Bar Charts and Histograms
Obtaining Case-Level Information with sort and list
Exercises
Notes
Chapter 3: Transforming Variables
Transforming Categorical Variables
Transforming Interval Variables
A CLOSER LOOK: The xtile command
The label define and label values Commands
Creating an Additive Index
Creating Indicator Variables
Exercises
Notes
Chapter 4: Making Comparisons
Cross-Tabulation Analysis
Mean Comparison Analysis
A CLOSER LOOK: The format Command
A CLOSER LOOK: The replace Command
Exercises
Notes
Chapter 5: Making Controlled Comparisons
Cross-Tabulation Analysis with a Control Variable
A CLOSER LOOK: The If Qualifier
Mean Comparison Analysis with a Control Variable
Exercises
Notes
Chapter 6: Making Inferences about Sample Means
Describing a Sample Mean
Testing the Difference between Two Sample Means
Extending the mean and lincom Commands
Exercises
Notes
Chapter 7: Chi-square and Measures of Association
Analyzing Ordinal-Level Relationships
Analyzing an Ordinal-Level Relationship with a Control Variable
Analyzing Nominal-Level Relationships
Analyzing Unweighted Data with the tabulate Command
Exercises
Notes
Chapter 8: Correlation and Linear Regression
The correlate Command and the regress Command
A CLOSER LOOK: R-squared and Adjusted R-squared: What's the Difference?
Creating a Scatterplot with a Linear Prediction Line
Multiple Regression
A CLOSER LOOK: Bubble Plots
Correlation and Regression with Weighted Data
Exercises
Notes
Chapter 9: Dummy Variables and Interaction Effects
Regression with Dummy Variables
A CLOSER LOOK: The test Command
Interaction Effects in Multiple Regression
Graphing Linear Prediction Lines for Interaction Relationships
Exercises
Notes
Chapter 10: Logistic Regression
The logit Command and the logistic Command
Logistic Regression with Multiple Independent Variables
A CLOSER LOOK: The estimates Command and the lrtest Command
Working with Predicted Probabilities
MERS-MEMS Hybrids
Exercises
Notes
Chapter 11: Doing Your Own Political Analysis
Five Doable Ideas
Inputting Data
Writing It Up
Notes
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