Statistical Data Analysis using Stata

High Impact Training on Stata Software

Stata is a complete statistical software package for data management and statistical data analysis. Results from its analysis can easily be presented in both tables and graphs. It comprises a collection of data functions that range from simple to advanced application. The software is very popular with data manipulation, cross sectional data analysis, panel data analysis, forecasting, time series analysis, survival analysis, longitudinal survey methods, structural equation modeling and simulations. The software can be used via a graphical user interface (where users interact with menus, icons and dialog boxes) or a command-line interface (using its very intuitive programming language). The software is supported by a very active user community that not only offer dedicated support but also develop new packages that continuously improves the software capabilities. This five days course is designed to enhance participants’ abilities of using the software. By the end of the training sessions, participants would become intermediate and advanced level users of the software.


5 Days


By the end of the training, you will be able to:

Understand both descriptive and inferential statistics
Understand various data collection techniques and data processing methods and use mobile phones for data collection(Open data Kit)
Use important functionalities in Stata that relate to data manipulation and management.
Create and manipulate graphs and figures in Stata
Use Stata effectively for analyzing quantitative data descriptively.
Use Stata effectively for analyzing quantitative data using inferential statistics.
Keep records of your work and create reproducible analyses.
Export the results of analyses into word processing programs such as Microsoft Word.


Module 1: Introduction

Introduction to Stata

Introduction to Statistics Concepts

Concepts and Software and technologies for Data Collection and Processing

Stata Basics: Program window features, Data Structures and Types of Variables
Data Management using Stata

Output Management
Basics of stata programming

Introduction to Mobile Data gathering

Benefits of Mobile Applications
Data and types of Data
Introduction to common mobile based data collection platforms
Managing devices
Challenges of Data Collection
Data aggregation, storage and dissemination
Questionnaire Design

Getting started in ODK

Types of questions
Data types for each question
Types of questionnaire or Form logic
Extended data types geoid, image and multimedia

Survey Authoring and Preparation of mobile phone for data collection

Survey Authoring

Design forms using a web interface: ODK Build, Koboforms, PurcForms

Preparing the mobile phone for data collection

Installing applications: ODK Collect (using Google play)

Designing forms and advanced survey authoring

Designing forms manually: Using XLS Forms

Introduction to XLS forms syntax
New data types
Notes and dates
Multiple choice Questions
Multiple Language Support
Hints and Metadata
Hands-on Exercise

Advanced survey Authoring

Conditional Survey Branching
Required questions
Constraining responses
Skip: Asking Relevant questions
The specify other
Grouping questions
Skipping many questions at once (Skipping a section)
Repeating a set of questions
Special formatting
Making dynamic calculations

Hosting survey data

Online Hosting survey data (ODK Aggregate, Formhub, and KoboToolbox

Module 2: Descriptive Statistics

Measures of Variability and Central Tendency

Describing quantitative data

Describing qualitative data (Tabulating data with Stata)

Stata Graphics

Graphing quantitative data
Graphing qualitative data

Module 3: Correlation, Chi-square and mean comparison analysis


Subgroup Correlations
Scatterplots of Data by Subgroups
Overlay Scatterplots


Goodness of Fit Chi Square All Categories Equal
Goodness of Fit Chi Square Categories Unequal
Chi Square for Contingency Tables

Comparing Means

One Sample t-tests
Paired Sample t-tests
Independent Samples t-tests
Comparing Means Using One-Way ANOVA

Comparing Means Using Factorial ANOVA

Factorial ANOVA Using GLM Univariate
Simple Effects

Module 4: Regression Analysis and Nonparametric Statistics

Regression Analysis

Assumptions of selected types of regression
Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression

Nonparametric Statistics

Mann-Whitney Test
Wilcoxon’s Matched Pairs Signed-Ranks Test
Kruskal-Wallis One-Way ANOVA
Friedman’s Rank Test for k Related Samples

Module 5: Longitudinal/panel and Time series Analysis

Panel data analysis

Introduction to panel data
Longitudinal/panel data analysis

Time series Analysis

Basic elements of time-series analysis
Managing and summarizing time-series data
Time series data analysis
Introduction to forecasting



This training can also be customized for your institution upon request. You can also have it delivered your preferred location.

For further inquiries, please contact us through Mobile: +254 732 776 700 or Email:


Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.


The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.


Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 or Email:


Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email:


• All requests for cancellations must be received in writing.

• Changes will become effective on the date of written confirmation being received.

Statistical Data Analysis using Stata

Statistical Data Analysis using Stata

Nairobi, Kenya
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