Training on Research Design, Data Management and Statistical Analysis using Stata

This comprehensive course provides participants with the necessary skills and knowledge to effectively design research studies, manage data, and perform statistical analysis using Stata. Participants will gain hands-on experience with Stata, one of the leading statistical software packages used in research across various disciplines. The course covers the entire research process, from formulating research questions and designing studies to managing data and conducting advanced statistical analyses.

Course Duration

10 Days

Who Should Attend

• Researchers and academics looking to enhance their data analysis skills
• Graduate students in social sciences, health sciences, economics, and related fields
• Data analysts and statisticians in public and private sectors
• Professionals involved in research projects who need to manage and analyze data effectively

Organizational Impact

• Strengthen research integrity and credibility by standardizing best practices in design and statistical analysis.

• Improve efficiency and accuracy of data analysis, reducing time and costs of research projects.

• Foster a data-literate culture to uncover insights and support evidence-based decision-making.

Personal Impact

• Gain in-demand skills essential for careers in research and data analysis.

• Progress toward senior research, principal investigator, or data stewardship roles.

• Contribute to research quality and impact by producing reliable, valid findings.

• Build confidence and authority to lead and manage complex research projects.

By the end of this course, participants will:

• Understand and appropriately use statistical terms and concepts
• Design and implement universally acceptable research
• Develop of functional research protocol
• Design both quantitative and qualitative data collection tools
• Perform data analysis tasks with Stata
• Perform simple to complex data management tasks using software
• Statistical tests using Stata software
• Writing reports from survey data

Introduction to research

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

Overview of Evaluation

• Evaluation Objectives
• Evaluation Criteria
• Evaluation Questions

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

Data Collection tools in Research

• Survey Questionnaire design
• FGD guide design
• KII guide design

Developing Research Protocol

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

Mobile Data Collection and Processing (ODK)

• Introduction to mobile data gathering
• Design of survey forms using ODK build and XLSForm
• Use ODK collect to gather data
• Use ODK aggregate to upload data to the server
• Work with spatial data (GPS coordinates)

Data Processing

• Data coding
• Data capture
• Data editing
• Data imputation
• Treatment of outliers

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

Graphics using Stata

• Introduction to graphs in Stata
• Graph commands in Stata
• Different types of Graphs in Stata

Statistical Tests using Stata

• One Sample T Test
• Independent Samples T Test
• Paired Samples T Test
• One-Way ANOVA

Statistical Associations in Stata

• Chi-Square test
• Pearson’s Correlation
• Spearman’s Rank-Order Correlation

Predictive Models using Stata

• Linear Regression
• Multiple Regression
• Logistic Regression
• Ordinal Regression

Longitudinal Analysis using Stata

• Features of Longitudinal Data
• Exploring Longitudinal data
• Longitudinal analysis for continuous outcomes

Qualitative Data Analysis using NVivo

• Introduction to NVivo
• NVivo workspace
• Uploading qualitative data into NVivo
• Coding and making nodes
• Use of queries
• Project visualization

Survey Report writing and Dissemination

• Survey report format
• Survey report content
• Survey findings dissemination
• Use of survey findings for decision making