Stata: A Really Short Introduction

Felix Bittmann

Published by De Gruyter Oldenbourg 2019

Stata

A Really Short Introduction

Felix Bittmann

https://doi.org/10.1515/9783110617160

Overview
Contents

About this book

Stata is one of the most popular statistical software in the world and suited for all kinds of users, from absolute beginners to experienced veterans. This book offers a clear and concise introduction to the usage and the workflow of Stata. Included topics are importing and managing datasets, cleaning and preparing data, creating and manipulating variables, producing descriptive statistics and meaningful graphs as well as central quantitative methods, like linear (OLS) and binary logistic regressions and matching. Additional information about diagnostical tests ensures that these methods yield valid and correct results that live up to academic standards. Furthermore, users are instructed how to export results that can be directly used in popular software like Microsoft Word for seminar papers and publications. Lastly, the book offers a short yet focussed introduction to scientific writing, which should guide readers through the process of writing a first quantitative seminar paper or research report. The book underlines correct usage of the software and a productive workflow which also introduces aspects like replicability and general standards for academic writing. While absolute beginners will enjoy the easy to follow point-and-click interface, more experienced users will benefit from the information about do-files and syntax which makes Stata so popular. Lastly, a wide range of user-contributed software („Ados") is introduced which further improves the general workflow and guarantees the availability of state of the art statistical methods.

For absolute beginners
Clear and concise introduction to Stata
Guidance through the process of writing a first quantitative seminar paper

Author / Editor information

Felix Bittmann, University of Bamberg

Supplementary Materials

Topics

Frontmatter Publicly Available Download PDF	I
Contents Publicly Available Download PDF	V
List of Notes Publicly Available Download PDF	VIII
1. Introduction Requires Authentication Unlicensed Licensed Download PDF	1
2. The first steps Requires Authentication Unlicensed Licensed Download PDF	4
3. Cleaning and preparing data Requires Authentication Unlicensed Licensed Download PDF	16
4. Describing data Requires Authentication Unlicensed Licensed Download PDF	46
5. Introduction to causal analysis Requires Authentication Unlicensed Licensed Download PDF	73
6. Regression analysis Requires Authentication Unlicensed Licensed Download PDF	83
7. Regression diagnostics Requires Authentication Unlicensed Licensed Download PDF	102
8. Logistic regression Requires Authentication Unlicensed Licensed Download PDF	119
9. Matching Requires Authentication Unlicensed Licensed Download PDF	134
10. Reporting results Requires Authentication Unlicensed Licensed Download PDF	141
11. Writing a seminar paper Requires Authentication Unlicensed Licensed Download PDF	150
12. The next steps Requires Authentication Unlicensed Licensed Download PDF	153
References Requires Authentication Unlicensed Licensed Download PDF	155
Copyright Requires Authentication Unlicensed Licensed Download PDF	157
Index Requires Authentication Unlicensed Licensed Download PDF	158

(Deutsch)

Language: English
Publisher: De Gruyter Oldenbourg
Audience: The book is intended for students and beginners who are working with Stata for the first time.
Pages
- Front matter: 8
- Main content: 161

eBook

Published: February 19, 2019
ISBN: 9783110617160

Paperback

Published: February 19, 2019
ISBN: 9783110617290