Training Course on Data Management, Analysis and Visualization using Stata

About the Course

Engaging in research is essential for making well-informed decisions. Possessing a solid understanding of research methodologies and proficiency in utilizing software for data management and analysis proves highly advantageous for emerging researchers. Stata, a comprehensive statistical data software, offers integrated features for data analysis, management, and graphical representation. This course targets researchers and professionals seeking to bolster their proficiency in utilizing Stata for statistical data analysis. The training is designed to augment participants’ knowledge and skills, enabling them to efficiently analyze data using Stata software, interpret results, and effectively present their findings.

Target Participants

This training course is ideal for researchers and data handling professionals such as M&E staff. The course is useful for other professionals who use data to make decisions. This course does not assume previous knowledge and competency in using Stata software.

What you will learn

By the end of the course the learner should be able to:

• Grasp a comprehensive understanding of quantitative research approaches.
• Effectively gather high-quality data using mobile devices, such as tablets and phones.
• Prepare and cleanse data for subsequent statistical analysis.
• Identify and rectify errors present in datasets.
• Efficiently comprehend large and intricate datasets through advanced statistical procedures, ensuring heightened accuracy for quality decision-making.
• Attain advanced skills in interpreting statistical results and composing insightful reports.
• Craft high-quality reports derived from the qualitative research process.

Course duration

5 days

Course Outline

Module 1: Introduction

Introduction to Research

• Introduction to research
• Different types of research
• Formulation of research problem statement
• Formulation of research hypothesis

Research Design

• Quantitative Research Approaches
• Qualitative Research Approaches

Sampling

• Sampling Techniques
• Sample size determination

Data Collection Methods in Research

• Quantitative data collection methods
• Qualitative data collection
• Creating an evaluation framework

Developing Research Protocol

• What is a research protocol?
• Basic concepts of a research protocol
• Structure of a research protocol 

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
• Types of questions
• Data types for each question
• Types of questionnaire or Form logic
• Extended data types geoid, image and multimedia
• Design forms using web interfaces
• Preparing the mobile phone for data collection
• Installing mobile data collection applications
• 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
• 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

Module 2: Descriptive Statistics

Introduction to Stata statistical software

• Stata interface and features
• Key terminologies used in Stata
• Views: Variable, Data views, Syntax editor
• Data file preparation
• Data entry into Stata
• Data manipulation: merge files, spit files, sorting files, missing values

Basic Statistics using Stata

• Descriptive statistics for numeric variables
• Frequency tables
• Distribution and relationship of variables
• Cross tabulations of categorical variables
• Stub and Banner Tables

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

Correlation  

• Correlation
• Subgroup Correlations
• Scatterplots of Data by Subgroups
• Overlay Scatterplots

Chi-Square 

• 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

Training Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.

Certification

Upon successful completion of this course, participants will be issued with a certificate.

Tailor-Made Course

We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more [email protected]

Payment

The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.

Payment should be sent to our bank account before start of training and proof of payment sent to [email protected]