Research and Data Analysis

Behavioral Economics in Experimental Design and Data Analysis Training Course

Introduction

Behavioral Economics is revolutionizing how we understand human decision-making by integrating psychological insights into economic models. With businesses, governments, and researchers increasingly relying on data-driven insights, mastering experimental design and data analysis in the context of behavioral economics has become essential. Behavioral Economics in Experimental Design and Data Analysis Training Course empowers participants to design robust behavioral experiments, analyze complex datasets, and apply findings to real-world challenges.

This course blends theoretical foundations with practical tools to explore cognitive biases, decision heuristics, and incentive structures. Using R, Python, and experimental software, learners will develop hands-on skills in randomized controlled trials (RCTs), field experiments, and behavioral simulations. Whether you're driving policy, optimizing marketing strategies, or leading academic research, this course equips you to uncover actionable insights from behavioral data.

Programme Curriculum

Behavioral Economics in Experimental Design and Data Analysis Training Course

Introduction

Course Objectives

Understand core principles of behavioral economics and human decision-making
Design rigorous behavioral experiments using randomized controlled trials (RCTs)
Apply quantitative and qualitative data analysis techniques to behavioral data
Utilize statistical software (R/Python/SPSS) for behavioral research
Identify cognitive biases and heuristics in economic decision-making
Conduct ethical behavioral research with informed consent and privacy compliance
Develop behavioral interventions for public policy, marketing, and finance
Interpret and visualize behavioral data using modern data tools
Evaluate the internal and external validity of experimental studies
Apply behavioral economics to nudge theory and behavioral policy design
Translate behavioral insights into real-world business and policy applications
Use A/B testing and multivariate testing in behavioral design
Build predictive models using behavioral data and machine learning tools

Target Audiences

Behavioral economists and researchers
Policy analysts and public sector professionals
Marketing and consumer behavior specialists
Data scientists and statisticians
UX/UI researchers and product designers
Academic faculty and graduate students
Social scientists and psychologists
Business strategists and consultants

Course Duration: 5 days

Course Modules

Module 1: Foundations of Behavioral Economics

Overview of traditional vs. behavioral economics
Key concepts: bounded rationality, heuristics, prospect theory
System 1 vs. System 2 thinking
Behavioral game theory basics
Role of incentives in decision-making
Case Study: The Ultimatum Game and fairness norms

Module 2: Experimental Design Principles

Designing hypotheses for behavioral studies
Between-subjects vs. within-subjects designs
Randomization and control techniques
Avoiding experimenter bias
Sample size and power analysis
Case Study: Field experiment on default savings rates

Module 3: Conducting RCTs in Behavioral Research

Components of a valid RCT
Blinding and placebo considerations
Managing treatment and control groups
Attrition, compliance, and spillover effects
Registration and pre-analysis plans
Case Study: Behavioral RCT in vaccination uptake

Module 4: Data Collection and Survey Design

Creating reliable behavioral survey instruments
Using Likert scales and anchoring techniques
Digital platforms for data collection
Reducing response bias and fatigue
Real-time behavioral tracking tools
Case Study: Online decision-making in consumer surveys

Module 5: Statistical Analysis of Behavioral Data

Descriptive vs. inferential statistics
T-tests, ANOVA, regression models
Interpreting effect sizes and significance
Visualizing behavioral data in R/Python
Addressing missing data and outliers
Case Study: Impact of framing on financial decision data

Module 6: Advanced Data Techniques in Behavioral Economics

Clustering and segmentation of behavior
Predictive modeling using behavioral variables
Introduction to machine learning for behavioral research
Time-series and panel data in experiments
Factor analysis for behavioral constructs
Case Study: Predicting loan defaults using behavioral scoring

Module 7: Applications of Behavioral Economics

Behavioral insights in public health
Consumer behavior and marketing strategies
Behavioral finance: nudging investor behavior
Organizational behavior and HR practices
Legal compliance through behavioral nudges
Case Study: Reducing energy consumption via behavioral nudges

Module 8: Ethics, Policy Impact, and Communication

Ethical considerations in behavioral research
Informed consent and data protection laws
Communicating results to non-technical audiences
Scaling and sustaining behavioral interventions
Evaluating behavioral policies post-implementation
Case Study: Ethical dilemma in a financial behavior experiment

Training Methodology

Interactive lectures with real-world examples
Hands-on labs using R, Python, and Qualtrics
Group projects and peer-reviewed experimental designs
Weekly quizzes and formative assessments
Case study analysis and class discussions
Final capstone project with presentation of experimental results

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Behavioral economics experimental design analytics

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000