Course Outline

Module one

• Introduction to Statistics Concepts
• Descriptive Statistics
• Inferential Statistics
• Research process
• Concepts and Software for Data Collection and Processing
• Planning data gathering and processing
• Introduction to mixed methods for Quantitative Data Collection (Web, and Mobile tools)
• Use of Mobile Phones for Data Collection (Open Data Kit)
• STATA Basics
• Learn how to use Dialog Boxes
• The command widow
• User-written extensions
• Directory Management
• Obtaining help and perform search
• STATA syntax
• Using Basic Statistical Commands
• Reusing results of STATA commands

Module Two

• Data Structures and Types of Variables
• Distinguishing between Categorical data, Continuous data; Numerical, string and date/time variables
• Managing missing data
• Creating dummy variables
• Other special purpose variables
• Converting datasets into summaries
• Labeling variables, encoding variables and generating new variables
• Data Management using STATA
• Import, Export, load and save datasets
• Create pseudorandom datasets
• Review and document the dataset
• Sorting and ordering
• Appending, merging and reorganizing datasets
• Validate data structure
• Identify duplicate observations
• Alarming and nonsensical data
• Benefits of filtering

Module Three

• Output Management
• Logs for output
• Use of translators for exporting STATA files and output
• Copy and paste from STATA to text editors and spreadsheets
• Reproduction of past work, stored results and saved results
• The command display, explicit subscripting and important prefixes
• Basics of STATA programming
• Executing commands using do-files
• Proper structure of do-files
• Using comments
• Writing long commands

Module Four

• Basics of graphing with STATA
• Basics of Graphing Qualitative Data
• Basics Graphing Quantitative Data
• Dialog Boxes vs. Do-file routines
• Inspecting the data prior graphing
• Reducing the data dimension to speed up graphing
• Setting range of variation
• Subgroups and overlays in STATA Graphics
• Graphing by categorical groups
• Subgroup options
• Formatting graph text
• Superimposing densities and other graphs
• Legends for multiple graphs and multiple axes
• Generalized syntax for overlaying multiple graphs
• The -two way-Command
• Scatter graph
• Linear fits and nonlinear fits
• Parametric density estimators and Non-parametric density estimators
• Soft coded vs. hard coded syntax.
• Using loops for multiple overlays

Module Five

• Advanced graphing
• Combining multiple graphs side-by-side
• Recasting two way plots
• Reproducing formatting
• Creating your own graph scheme
• The graph editor as a scheme maker
• Quantitative Analysis using STATA
• Tests for Statistical Inference
• Tests of Association
• Tests of Difference
• Linear regression analysis
• Ordinary least squares
• Predicted values and residuals
• Correlation and Standardized Regression Coefficients
• Hypothesis testing
• Problems with regression
• Introduction to panel data analysis
• Advantages of panel data analysis
• Panel data sets
• Balanced and unbalanced panels
• Panel data dimensions and frequencies
• Properties of estimators
• Graphing panel data