A gentle introduction to Stata
著者
書誌事項
A gentle introduction to Stata
Stata Press, c2006
大学図書館所蔵 全16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 (p. 277) and index
内容説明・目次
内容説明
Providing the basic collection of statistical procedures used by social scientists, A Gentle Introduction to Stata presents the fundamental tools to learn Stata. The book begins with showing how to enter and manage data as well as perform basic descriptive statistics and graphical analysis. It then examines standard statistical procedures from a t test, nonparametric tests, measures of association, multiple regression, and logical regression. The book ends with guidelines for future work and advanced topics. This learning source is an excellent introduction for those with little statistical software experience while also a useful reference for more knowledgeable statisticians by offering a detailed index of commands.
目次
Preface
Support Materials for the Book
GETTING STARTED
Introduction
The Stata screen
Using an existing dataset
An example of a short Stata session
Conventions
Chapter summary
Exercises
ENTERING DATA
Creating a dataset
An example questionnaire
Develop a coding system
Entering data
Saving your dataset
Checking the data
Chapter summary
Exercises
PREPARING DATA FOR ANALYSIS
Introduction
Plan your work
Create value labels
Reverse-code variables
Create and modify variables
Create scales
Save some of your data
Summary
Exercises
WORKING WITH COMMANDS, DO-FILES, AND RESULTS
Introduction
How Stata commands are constructed
Getting the command from the menu system
Saving your results
Logging your command file
Summary
Exercises
DESCRIPTIVE STATISTICS AND GRAPHS FOR A SINGLE VARIABLE
Descriptive statistics and graphs
Where is the center of a distribution?
How dispersed is the distribution?
Statistics and graphs-unordered categories
Statistics and graphs-ordered categories and variables
Statistics and graphs-quantitative variables
Summary
Exercises
STATISTICS AND GRAPHS FOR TWO CATEGORICAL VARIABLES
Relationship between categorical variables
Cross-tabulation
Chi-squared
Percentages and measures of association
Ordered categorical variables
Interactive tables
Tables-linking categorical and quantitative variables
Summary
Exercises
TESTS FOR ONE OR TWO MEANS
Tests for one or two means
Randomization
Hypotheses
One-sample test of a proportion
Two-sample test of a proportion
One-sample test of means
Two-sample test of group means
Repeated-measures t test
Power analysis
Nonparametric alternatives
Summary
Exercises
BIVARIATE CORRELATION AND REGRESSION
Introduction to bivariate correlation and regression
Scattergrams
Plotting the regression line
Correlation
Regression
Spearman's rho: rank-order correlation for ordinal data
Alpha reliability
Kappa as a measure of agreement for categorical data
Summary
Exercises
ANALYSIS OF VARIANCE (ANOVA)
The logic of one-way analysis of variance
ANOVA example
ANOVA example using survey data
A nonparametric alternative to ANOVA
Analysis of covariance
Two-way ANOVA
Repeated-measures design
Intraclass correlation-measuring agreement
Summary
Exercises
MULTIPLE REGRESSION
Introduction
What is multiple regression?
The basic multiple regression command
Increment in R-squared: semipartial correlations
Is the dependent variable normally distributed?
Are the residuals normally distributed?
Regression diagnostic statistics
Weighted data
Categorical predictors and hierarchical regression
Fundamentals of interaction
Summary
Exercises
LOGISTIC REGRESSION
Introduction
An example
What are an odds ratio and a logit?
Data used in rest of chapter
Logistic regression
Hypothesis testing
Nested logistic regressions
Summary
Exercises
WHAT'S NEXT?
Introduction
Resources
Summary
References
Author Index
Subject Index
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