Using STATA and SPSS for Impact Evaluation and Data Analytics Training Course

Introduction

Impact evaluation and data analytics have become essential tools for measuring and understanding the effectiveness of development programs and policy interventions. The Using STATA and SPSS for Impact Evaluation and Data Analytics Training Course equips participants with advanced analytical skills to design, conduct, and interpret evaluations that generate credible and actionable evidence.

This course provides hands-on training in using STATA and SPSS two of the most powerful and widely used software tools in data analysis to manage, analyze, and visualize large datasets. Participants will learn to apply econometric and statistical techniques to assess causal relationships, measure outcomes, and support evidence-based decision-making.

Participants will explore core principles of impact evaluation, including randomized control trials (RCTs), quasi-experimental methods, difference-in-differences, propensity score matching, and regression analysis. Through practical exercises, they will learn how to code, clean, and analyze data effectively while ensuring quality and reproducibility.

The course blends theory with practice, focusing on real-world datasets from development, health, education, and economic programs. Participants will also gain insights into data visualization and reporting using STATA and SPSS outputs for professional presentation and policy communication.

As data-driven decision-making becomes a cornerstone of effective program management, this course ensures participants are well-equipped to translate data into meaningful insights that influence program strategy and implementation. The training integrates ethical data use and emerging trends in machine learning and big data analytics for impact evaluation.

By the end of this course, participants will be able to independently manage end-to-end data analysis processes, from data collection and cleaning to advanced econometric modeling and visualization, enhancing their capacity to drive impactful evidence-based programming.

Who Should Attend

• Monitoring and Evaluation (M&E) officers and specialists
• Data analysts and statisticians
• Economists and policy researchers
• Project and program managers
• Development practitioners and consultants
• Academics and postgraduate researchers
• Donor and funding agency staff involved in impact evaluations
• Government officers in planning, monitoring, and statistics departments
• NGO and international organization staff
• Professionals seeking practical skills in data-driven decision-making

Duration

5 Days

Course Objectives

By the end of the course, participants will be able to:

• Gain hands-on experience using STATA and SPSS for quantitative data analysis.
• Understand the principles and design of impact evaluation frameworks.
• Conduct econometric analysis to measure program outcomes and impacts.
• Perform data management, cleaning, and transformation using STATA and SPSS.
• Apply statistical and regression models for causal inference.
• Interpret and communicate results effectively through tables and graphs.
• Integrate data visualization for impactful reporting and presentations.
• Evaluate development programs using experimental and quasi-experimental designs.
• Ensure data quality, integrity, and ethical compliance in analysis.
• Enhance decision-making using evidence from impact evaluations.

Comprehensive Course Outline

Module 1: Introduction to Impact Evaluation and Data Analytics

• Understanding the role of impact evaluation in development programs
• Key concepts: causality, counterfactuals, and attribution
• Overview of experimental and quasi-experimental designs
• Introduction to STATA and SPSS environments and interfaces

Module 2: Data Management and Preparation

• Importing and exporting data in STATA and SPSS
• Data cleaning, recoding, and labeling variables
• Handling missing data and outliers
• Structuring datasets for analysis and reproducibility

Module 3: Descriptive and Exploratory Data Analysis

• Summarizing data using descriptive statistics
• Cross-tabulations, frequencies, and correlation analysis
• Visualizing data using histograms, box plots, and scatterplots
• Exploring trends and patterns in development indicators

Module 4: Fundamentals of Statistical Inference

• Sampling techniques and hypothesis testing
• Confidence intervals and p-values interpretation
• T-tests, chi-square, and ANOVA procedures
• Applying statistical significance in program evaluation

Module 5: Regression and Econometric Modeling

• Simple and multiple linear regression models
• Logistic regression for binary outcomes
• Fixed and random effects models
• Model diagnostics and assumption testing

Module 6: Advanced Impact Evaluation Methods

• Randomized Controlled Trials (RCTs): design and analysis
• Difference-in-Differences (DID) estimation
• Propensity Score Matching (PSM)
• Instrumental variables and regression discontinuity

Module 7: Time-Series and Panel Data Analysis

• Working with longitudinal datasets
• Introduction to time-series models
• Fixed and random effects panel regressions
• Evaluating temporal program effects

Module 8: Data Visualization and Reporting

• Creating high-quality tables, charts, and graphs in STATA/SPSS
• Exporting results to Word, Excel, and PowerPoint
• Writing data-driven M&E and impact evaluation reports
• Communicating findings for policy and decision-making

Module 9: Ethics, Data Quality, and Reproducibility

• Ethical considerations in data analysis and reporting
• Ensuring confidentiality and data protection
• Validating and verifying datasets for reliability
• Documenting code and processes for reproducibility

Module 10: Emerging Topics and Innovations

• Integrating big data analytics into impact evaluation
• Use of Python and R for complementing STATA/SPSS
• Introduction to AI and machine learning in evaluation
• Open data and data sharing for transparency and collaboration

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808 

Terms of Payment

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.