Survey Design for Displaced Populations Training Course

Survey Design for Displaced Populations Training Course

Introduction

Survey design for displaced populations has become a critical skill in humanitarian response, monitoring, and evaluation. With global displacement reaching record highs due to conflict, climate change, and socio-political instability, organizations must collect accurate, reliable, and timely data to inform decisions and interventions. Survey Design for Displaced Populations Training Course equips participants with the knowledge and techniques required to design surveys tailored to displaced communities, ensuring inclusivity, cultural sensitivity, and methodological rigor. By integrating advanced tools, field-tested practices, and people-centered approaches, the training strengthens participants’ ability to generate evidence that supports effective humanitarian programming.

Through a combination of case studies, practical exercises, and guided analysis, participants will learn how to translate complex realities of displacement into measurable indicators. The training emphasizes participatory data collection methods, ethical considerations, and digital survey platforms widely used in humanitarian contexts. By the end of the course, participants will be able to apply best practices in survey design, contribute to evidence-based humanitarian planning, and strengthen accountability to affected populations.

Course Objectives

1. Understand the fundamental principles of survey design for displaced populations.
2. Apply humanitarian standards in data collection and analysis.
3. Develop context-sensitive survey instruments for refugee and IDP settings.
4. Integrate digital data collection tools in humanitarian surveys.
5. Incorporate gender-sensitive and inclusive approaches into survey design.
6. Ensure ethical data collection practices for vulnerable populations.
7. Analyze displacement data using advanced statistical methods.
8. Translate survey findings into actionable humanitarian strategies.
9. Strengthen monitoring and evaluation frameworks with survey evidence.
10. Apply participatory approaches in survey planning and implementation.
11. Conduct quality assurance and control during survey processes.
12. Manage survey logistics in fragile and resource-limited environments.
13. Build capacity for survey design within humanitarian teams.

Organizational Benefits

1. Enhanced capacity for evidence-based decision-making.
2. Improved accountability to donors and stakeholders.
3. Stronger monitoring and evaluation frameworks.
4. Increased effectiveness of humanitarian interventions.
5. Better alignment with international humanitarian standards.
6. Access to skilled personnel trained in survey methodologies.
7. Reduced risks of data inaccuracy and bias.
8. Cost efficiency through optimized survey design.
9. Improved reporting and communication with beneficiaries.
10. Greater resilience in managing large-scale data operations.

Target Audiences

1. Humanitarian program managers
2. Monitoring and evaluation specialists
3. Data analysts and researchers
4. Policy makers and government officials
5. NGO field staff working with displaced populations
6. Donor agency representatives
7. Graduate students in humanitarian studies
8. Consultants in survey and data systems

Course Duration: 10 days

Course Modules

Module 1: Introduction to Survey Design in Humanitarian Contexts

• Overview of survey methodologies
• Importance of surveys in displacement settings
• Ethical considerations in humanitarian surveys
• Limitations and challenges in fragile contexts
• Key humanitarian data standards
• Case study: Household surveys in refugee camps

Module 2: Understanding Displacement Dynamics

• Types of displacement: refugees, IDPs, returnees
• Drivers of displacement and mobility trends
• Legal and policy frameworks affecting surveys
• Social, cultural, and economic impacts of displacement
• Data gaps in displacement monitoring
• Case study: Displacement trends in Sub-Saharan Africa

Module 3: Principles of Humanitarian Data Collection

• Reliability and validity in data collection
• Quantitative versus qualitative approaches
• Sampling strategies in unstable environments
• Data protection and security measures
• Designing culturally sensitive questions
• Case study: Multi-sectoral needs assessments

Module 4: Developing Context-Specific Survey Tools

• Designing structured and semi-structured questionnaires
• Translating and adapting tools for local contexts
• Testing survey instruments in the field
• Balancing length and depth of questionnaires
• Incorporating participatory approaches
• Case study: Child-focused survey in conflict zones

Module 5: Digital Survey Platforms in Humanitarian Work

• Mobile data collection tools (KoboToolbox, ODK, SurveyCTO)
• GPS-enabled survey design
• Advantages of real-time data collection
• Common challenges in digital surveys
• Offline survey solutions in remote areas
• Case study: Mobile data collection in flood-affected regions

Module 6: Sampling and Representation in Displacement Surveys

• Random and non-random sampling techniques
• Sample size determination in limited-resource settings
• Cluster sampling for humanitarian contexts
• Dealing with population mobility and hidden groups
• Bias mitigation in survey design
• Case study: Sampling IDP households in urban settings

Module 7: Gender and Inclusion in Survey Design

• Gender-sensitive survey practices
• Addressing barriers to participation for women and youth
• Disability-inclusive data collection
• Power dynamics in humanitarian surveys
• Using disaggregated data for policy influence
• Case study: Inclusive surveys in Rohingya refugee camps

Module 8: Ethical Considerations in Humanitarian Surveys

• Informed consent and confidentiality
• Do-no-harm principles in survey work
• Managing sensitive data and trauma-informed approaches
• Ethical approval processes
• Risk assessment for survey teams
• Case study: Surveys on gender-based violence survivors

Module 9: Quality Assurance in Data Collection

• Pre-testing and piloting survey instruments
• Training enumerators for humanitarian contexts
• Field supervision and monitoring
• Error detection and correction mechanisms
• Ensuring data completeness and accuracy
• Case study: Data verification in food security assessments

Module 10: Advanced Data Analysis in Humanitarian Settings

• Descriptive and inferential statistics
• Software tools for humanitarian data analysis
• Analyzing trends and correlations
• Data visualization and dashboards
• Communicating findings to stakeholders
• Case study: Data analysis for education in emergencies

Module 11: Integrating Survey Results into Humanitarian Programming

• Linking surveys with monitoring frameworks
• Using evidence for program design and evaluation
• Translating findings into advocacy strategies
• Policy development based on survey outcomes
• Communicating results to affected populations
• Case study: Nutrition survey informing health programs

Module 12: Survey Logistics and Field Management

• Planning field operations in insecure settings
• Resource allocation and budgeting
• Enumerator recruitment and training
• Transportation and communication planning
• Safety and security protocols for field teams
• Case study: Survey logistics in disaster response

Module 13: Participatory Approaches in Humanitarian Surveys

• Community engagement strategies
• Participatory rural appraisal methods
• Benefits of involving displaced populations in surveys
• Power sharing in data collection
• Building trust with surveyed communities
• Case study: Participatory mapping in informal settlements

Module 14: Reporting and Dissemination of Survey Findings

• Humanitarian reporting standards
• Writing survey reports for diverse audiences
• Using infographics and visual storytelling
• Dissemination through digital platforms
• Feedback mechanisms for communities
• Case study: Survey dissemination in post-conflict recovery

Module 15: Capacity Building and Sustainability of Survey Practices

• Building organizational survey capacity
• Training local enumerators and partners
• Creating knowledge management systems
• Institutionalizing survey practices
• Ensuring sustainability of survey systems
• Case study: Long-term displacement data systems in East Africa

Training Methodology

• Interactive lectures and facilitated discussions
• Hands-on group exercises and role plays
• Real-world case study analysis
• Field-based simulation activities
• Peer-to-peer learning and feedback sessions
• Practical application of digital survey tools

Register as a group from 3 participants for a Discount

Send us an email: [email protected] or call +254724527104 

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 DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.