A Gentle Introduction to StataProviding 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. |
From inside the book
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Contents
Entering data | 21 |
Preparing data for analysis | 39 |
Working with commands dofiles and results | 61 |
21 | 91 |
Statistics and graphs for two categorical variables | 101 |
24 | 108 |
Tests for one or two means | 119 |
Bivariate correlation and regression | 149 |
Analysis of variance ANOVA | 177 |
Multiple regression | 211 |
Logistic regression | 249 |
Whats next? | 271 |
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Common terms and phrases
analysis of variance ANOVA bar chart box plot called Cancel Submit Figure categorical variables chapter chi-squared codebook coefficient column Command window compute correlation covariate Data Editor Default degrees of freedom dependent variable descriptive statistics dialog system distribution Do-file Editor enter the command estimate example father's education female font frequency gender hispanic histogram dialog box hrs1 income kurtosis label define logistic regression Main tab marital status mean measure median menu missing values multiple regression null hypothesis Number of obs number of observations odds ratio OK Cancel Submit Options tab output pdrink97 polviews predict predictors prestige psmoke97 questionnaire R-squared recode relationship researchers Results window rincom98 sample scale scattergram score select Statistics skewness standard deviation Stata commands Stata dataset statistically significant summarize command tabulation value labels variable label variable name women wwwhr