Program Contents
Topic One: Introduction to STATA
  • STATA Installation
  • Starting STATA
  • STATA interface design
  • STATA files
  • Essential Knowledge
Topic Two: The Basics of Data Management
  • Introduction to Data Management
  • Working with files
  • Variables
  • Basic Data Management Commands
Topic Three: Exploring STATA’s Functionality
  • Importing files
  • Working with the Data Editor (Edit)
  • Commenting
  • Operators in STATA
  • Transforming and Creating New Variables Commands
  • Statistical Operations
Topic Four: Introduction to Programming in STATA
  • What is a do-files
  • Importance of the Do-files
  • STATA Version Control in a Do File
  • Writing of Instructions
  • Using Files Within Do Files
  • Organizing Your Research Project
Topic Five: Analysis of Statistics 1
  • Summarize Command
  • Using the Table Command to Interpret the Frequencies
  • Understanding the T-test
  • Single Sample T-test
  • Paired T-test
  • Independent Group T-test
  • Independent Sample T-test Assuming Unequal Variances
Topic Six: Analysis of Statistics 2
  • Correlation
  • Listwise Deletion of Missing Data
  • Pairwise Deletion of Missing Data
  • Regression Analysis
  • Robust Regression
Topic Seven: Understanding Graphs
  • An Introduction to STATA Graphics
  • Creating Graphs Using the Graphical User Interface
  • Adding Variables to Graphs
  • Plotting a Subject of the Data
  • Controlling the Markers
  • Plotting Subsamples
  • Controlling the Appearances of a Graph
  • Using By with Graphs
  • Replacing of Plotted Variable
  • Organizing the Graphs
  • Saving a Graph
Topic Eight: Plotting Different Graphs
  • Creating Graphs Using Commands
  • Graph Commands
  • Fit Lines
  • Bar Plots
  • Histogram
  • Kernel Densities
  • The Graph Editor
Topic Nine: Advanced STATA Features
  • Compound Double Quotes
  • Capture
  • Scalar Variables
  • Working with Macros in STATA
  • Advanced Macros in STATA
Topic Ten: Working with Questionnaires
  • Introduction to Questionnaire
  • Data Coding
  • Data Cleaning
  • Data Analysis
  • Examination of the Data for Selection Bias
  • How to Analyze Questionnaire Responses
  • How to Present your Result

Archives

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Melbourne, Australia
(Sat - Thursday)
(10am - 05 pm)

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