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Stata

A Really Short Introduction

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Stata is a widely used statistical software suitable for users ranging from beginners to seasoned professionals. This book provides a clear introduction to Stata's usage and workflow, covering key topics such as importing and managing datasets, data cleaning and preparation, variable creation and manipulation, and generating descriptive statistics and graphs. It also delves into essential quantitative methods, including linear (OLS) and binary logistic regressions, along with matching techniques. To ensure the validity of results, it includes information on diagnostic tests that meet academic standards. Users will learn how to export results for use in popular software like Microsoft Word, aiding in seminar papers and publications. Additionally, the book offers a concise introduction to scientific writing, guiding readers through creating their first quantitative seminar paper or research report. Emphasizing correct software usage and a productive workflow, it addresses replicability and academic writing standards. Beginners will appreciate the user-friendly point-and-click interface, while experienced users can explore do-files and syntax that enhance Stata's functionality. The book also introduces a variety of user-contributed software ("Ados") that improves workflow and ensures access to advanced statistical methods.

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Stata, Felix Bittmann

Taal
Jaar van publicatie
2019
Bindwijze
(Paperback)
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Titel
Stata
Ondertitel
A Really Short Introduction
Taal
Engels
Jaar van publicatie
2019
Formaat
Paperback
Aantal pagina's
169
ISBN10
3110617293
ISBN13
9783110617290
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Handel
Aantekening
Stata is a widely used statistical software suitable for users ranging from beginners to seasoned professionals. This book provides a clear introduction to Stata's usage and workflow, covering key topics such as importing and managing datasets, data cleaning and preparation, variable creation and manipulation, and generating descriptive statistics and graphs. It also delves into essential quantitative methods, including linear (OLS) and binary logistic regressions, along with matching techniques. To ensure the validity of results, it includes information on diagnostic tests that meet academic standards. Users will learn how to export results for use in popular software like Microsoft Word, aiding in seminar papers and publications. Additionally, the book offers a concise introduction to scientific writing, guiding readers through creating their first quantitative seminar paper or research report. Emphasizing correct software usage and a productive workflow, it addresses replicability and academic writing standards. Beginners will appreciate the user-friendly point-and-click interface, while experienced users can explore do-files and syntax that enhance Stata's functionality. The book also introduces a variety of user-contributed software ("Ados") that improves workflow and ensures access to advanced statistical methods.