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基本説明
Completely revamped to reflect the capabilities of Stata 12. Shows examples using data from the German Socioeconomic Panel, a large survey of households containing demographic, income, employment, and other key information. Prev. ed.: 2008.
Full Description
Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.
The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.
Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.
Contents
The First Time. Working with Do-Files. The Grammar of Stata. General Comments on the Statistical Commands. Creating and Changing Variables. Creating and Changing Graphs. Describing and Comparing Distributions. Statistical Inference. Introduction to Linear Regression. Regression Models for Categorical Dependent Variables. Reading and Writing Data. Do-Files for Advanced Users and User-Written Programs. Around Stata. References. Indices.
