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Using Stata for Quantitative Analysis
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Using Stata for Quantitative Analysis

Third Edition
October 2019 | 280 pages | SAGE Publications, Inc
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Using Stata for Quantitative Analysis offers a brief but thorough introduction to analyzing data in undergraduate and graduate level research methods, statistics, and data analysis courses using Stata software. Kyle C. Longest teaches the language of Stata from an intuitive perspective, allowing students with no experience in statistical software to start working with data quickly and complete a basic quantitative research project from start to finish.

The Third Edition covers the use of Stata 15 and includes more information on data management and non-linear regression techniques. Enhanced layouts make finding important commands easy.


 
Part I: Foundations for Working with Stata
 
Chapter 1: Getting to Know Stata 15
What You See

 
Getting Started With Data Files

 
 
Chapter 2: The Essentials
Intuition and Stata Commands

 
The Structure of Stata Commands

 
The 5 Essential Commands

 
Nonessential, Everyday Commands

 
 
Chapter 3: Do Files and Data Management
What Is a Do File?

 
Data Management

 
 
Part II: Quantitative Analysis With Stata
 
Chapter 4: Descriptive Statistics
Frequency Distributions

 
Measures of Central Tendency and Variability

 
 
Chapter 5: Relationships Between Nominal and Ordinal Variables
Cross-Tabulations

 
 
Chapter 6: Relationships Between Different Measurement Levels
Testing Means

 
Analysis of Variance (ANOVA)

 
 
Chapter 7: Relationships Between Interval-Ratio Variables
Correlation

 
Linear Regression

 
 
Chapter 8: Enhancing Your Command Repertoire
Stata Help Files

 
Advanced Convenience Commands

 
Expanding Stata's Capabilities

 

Supplements

Student Website
Data sets accompanying this book are available for download. 

“Learning to use statistical software can be an intimidating experience that is often made excessively difficult by textbooks that provide unclear explanations and overwhelming detail. In Using Stata for Quantitative Analysis, Longest well balances overview and detail of Stata’s components, commands, and instructional resources that will help new users.”

Charles Plante
University of Saskatchewan

A wonderful overall resource. However, its coverage of non-parametric methods is very slim. Yet these methods are critically needed in the health sciences where non-normally distributed data dominate our analysis.

Dr John Cranmer
Nell H Woodruff Sch Of Nursing, Emory University
September 25, 2020
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Sample Materials & Chapters

2: The Essentials

4: Descriptive Statistics

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SAGE Research Methods Promotion

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.

With SAGE Research Methods, researchers can explore their chosen method across the depth and breadth of content, expanding or refining their search as needed; read online, print, or email full-text content; utilize suggested related methods and links to related authors from SAGE Research Methods' robust library and unique features; and even share their own collections of content through Methods Lists. SAGE Research Methods contains content from over 720 books, dictionaries, encyclopedias, and handbooks, the entire “Little Green Book,” and "Little Blue Book” series, two Major Works collating a selection of journal articles, and specially commissioned videos.

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