PART 01 | Understanding Stata
Section 01 Stata, When to Use It?
01 Stata, when is it good to use it?
02 Stata program
03 Overall flow of a paper using Stata

Section 02 Stata Program Structure
01 Running the Stata program
02 Stata program start screen
03 Toolbar

Section 03 Importing Excel/SPSS Data
01 Importing Excel data
02 Importing SPSS data

Section 04 Data Coding/Variable Setting
01 Coding Stata Data
02 Setting Stata variables

Section 05 Data Integration: Merge
01 Concept and Understanding of Data Integration
02 Integrating Data

Section 06 Case Selection: keep
01 Concept and Understanding of Case Selection
02 Select a case

Section 07 Data Handling: record, egen, gen
01 Concept and Understanding of Data Handling
02 recode
03 egen
04 gen


PART 02 | Analyzing with Stata
Section 08 Things to know before analyzing
01 Scale
02 p-value
03 Paste the output results into the thesis results table.
04 Dummy variables
05 Command if

Section 09 Frequency Analysis: tab
01 Concept and Understanding of Frequency Analysis
02 Follow the Stata commands
03 Interpreting the output results
04 Creating a thesis results table
05 Interpreting the paper results table

Section 10 Descriptive Statistics Analysis: su
01 Concept and Understanding of Descriptive Statistics Analysis
02 Follow the Stata commands
03 Interpreting the output results
04 Creating a thesis results table
05 Interpreting the paper results table

Section 11 Cross-tabulation (Chi-square test): tab
01 Concept and Understanding of Cross-Analysis
02 Follow the Stata commands
03 Interpreting the output results
04 Creating a thesis results table
05 Interpreting the paper results table

Section 12 Independent Samples t-test: ttest
01 Independent Samples t-Test Concept and Understanding
02 Follow the Stata commands
03 Interpreting the output results
04 Creating a thesis results table
05 Interpreting the paper results table

Section 13 Paired Samples t-test: ttest
01 Paired Samples t-Test Concept and Understanding
02 Follow the Stata commands
03 Interpreting the output results
04 Creating a thesis results table
05 Interpreting the paper results table

Section 14 one-way ANOVA: oneway
01 Concept and Understanding of One-Way ANOVA (One-Way ANOVA)
02 Follow the Stata commands
03 Interpreting the output results
04 Creating a thesis results table
05 Interpreting the paper results table

Section 15 Reliability Analysis: Alpha
01 Concept and Understanding of Reliability Analysis
02 Pre-work on reliability analysis
03 Follow the Stata commands
04 Interpreting the output results
05 Interpreting Analysis Results

Section 16 Correlation Analysis: pwcorr
01 Concept and Understanding of Correlation Analysis
02 Follow the Stata commands
03 Interpreting the output results
04 Creating a thesis results table
05 Interpreting the paper results table

Section 17 Regression Analysis: reg
01 Concept and Understanding of Regression Analysis
02 Pre-work on regression analysis
03 Follow the Stata commands
04 Interpreting the output results
05 Creating a thesis results table
06 Interpreting the paper results table

Section 18 Moderating Effect Analysis: reg
01 Concept and Understanding of Moderating Effect Analysis
02 Follow the Stata commands
03 Interpreting the output results
04 Creating a thesis results table
05 Interpreting the paper results table

Section 19 Logistic Regression Analysis: logit
01 Concept and Understanding of Logistic Regression Analysis
02 Preparing for Logistic Regression Analysis
03 Follow the Stata commands
04 Interpreting the output results
05 Creating a thesis results table
06 Interpreting the paper results table

A must-read for researchers who need to write papers using Stata!
We'll generously share all the know-how you can apply directly to your thesis, including basic usage methods!

① Step-by-step structure so that it can be applied directly to the thesis
We have organized everything you need to know to write analysis results for your paper, including 'Pre-work for analysis', 'Following Stata commands', 'Interpreting output results', 'Creating a paper results table', and 'Interpreting a paper results table', so that you can apply them right away.
② Explore and apply more practical methods than simply presenting them as commands.
Because the Stata statistical program is a command-based program, all data handling and analysis can be implemented using commands.
But I tried to find and apply a much more practical and understandable method.
③ Focus on data handling and analysis that you must know.
This book can be broadly divided into data handling and various analyses.
We've neatly excluded unnecessary details and focused on the essential information.
④ Present all know-how
All the know-how you need for data handling and analysis with Stata is presented in detail in the "Stop Here!" and "Author's Thoughts" sections.
We've included as much important information as possible, as well as any questions you might have, when handling or analyzing data.