Applied Survey Design, Sampling Techniques, and Field Protocols Course

Introduction

In a data-driven environment, high-quality survey design and implementation are essential for generating reliable evidence that informs policy, programs, and strategic decisions. This course provides a comprehensive foundation in applied survey design, equipping participants with the skills to develop effective questionnaires, define clear research objectives, and align survey methods with intended outcomes.

The course emphasizes the importance of robust sampling techniques in ensuring that survey results are representative, unbiased, and statistically valid. Participants will explore various probability and non-probability sampling methods, learning how to select appropriate approaches based on population characteristics, available resources, and research goals.

Participants will also gain hands-on experience in designing field protocols that ensure consistency, accuracy, and ethical compliance during data collection. The training covers practical aspects such as enumerator training, field supervision, quality control, and risk management, all of which are critical to successful survey implementation.

A key focus of the course is questionnaire design and testing. Participants will learn how to construct clear, concise, and culturally appropriate survey instruments, avoid common biases, and apply pre-testing techniques such as piloting and cognitive interviews to refine survey tools before deployment.

The course further addresses emerging trends in survey research, including mobile data collection, digital survey platforms, real-time data validation, and the integration of geospatial and multimedia data. Participants will understand how technology is transforming survey methodologies and improving efficiency and data quality.

By the end of this course, participants will be equipped with practical skills to design, implement, and manage surveys effectively. They will be able to apply sampling techniques confidently, develop reliable field protocols, and ensure high-quality data collection that supports evidence-based decision-making.

Who Should Attend

• Monitoring and Evaluation (M&E) Officers and Specialists
• Research Analysts and Survey Specialists
• Data Analysts and Statisticians
• Project Managers and Program Coordinators
• NGO and Development Practitioners
• Field Supervisors and Enumerators
• Government and Public Sector Officers
• Policy Analysts and Advisors
• Academic Researchers and Students
• Consultants in research and development sectors
• Social scientists and program evaluators

Duration

5 Days

Course Objectives

• Equip participants with practical skills in designing effective surveys, including defining objectives, selecting appropriate methodologies, and developing structured questionnaires aligned with research goals.
• Strengthen participants’ understanding of sampling theory and techniques, enabling them to select representative samples and ensure statistical validity and reliability in survey results.
• Enable participants to apply both probability and non-probability sampling methods appropriately based on study design, population characteristics, and resource constraints.
• Build participants’ capacity to design, test, and refine survey instruments using pre-testing techniques such as pilot surveys and cognitive interviews to improve data quality.
• Enhance participants’ ability to develop and implement field protocols that ensure consistency, accuracy, and ethical compliance during data collection processes.
• Develop competencies in training and supervising field teams, including enumerators and supervisors, to maintain high standards of data collection and quality control.
• Introduce participants to digital data collection tools and mobile survey platforms that improve efficiency, reduce errors, and enable real-time monitoring of field activities.
• Strengthen participants’ skills in identifying and mitigating common sources of bias and error in survey design, sampling, and data collection processes.
• Equip participants with techniques for managing and validating survey data to ensure accuracy, completeness, and readiness for analysis and reporting.
• Enable participants to integrate emerging technologies such as GIS mapping and real-time analytics into survey design and implementation for enhanced insights and decision-making.

Comprehensive Course Outline

Module 1: Introduction to Survey Research

• Principles and importance of survey research
• Types of surveys and research designs
• Linking surveys to program and policy objectives
• Ethical considerations in survey research

Module 2: Survey Design Fundamentals

• Defining research questions and objectives
• Structuring survey instruments
• Selecting appropriate survey modes (online, face-to-face, phone)
• Designing surveys for different populations

Module 3: Questionnaire Design

• Writing clear and unbiased questions
• Types of questions (open-ended, closed-ended, scales)
• Avoiding common questionnaire design errors
• Cultural and contextual considerations

Module 4: Pre-testing and Piloting

• Importance of pilot testing surveys
• Cognitive interviewing techniques
• Revising and refining survey instruments
• Ensuring reliability and validity

Module 5: Sampling Theory and Methods

• Introduction to sampling concepts and frameworks
• Probability sampling methods (random, stratified, cluster)
• Non-probability sampling techniques
• Determining sample size and margins of error

Module 6: Field Protocols and Data Collection

• Designing fieldwork plans and protocols
• Enumerator recruitment and training
• Data collection procedures and supervision
• Ethical standards and informed consent

Module 7: Data Quality Assurance

• Identifying and minimizing survey errors and bias
• Data validation and verification techniques
• Monitoring field performance and data quality
• Handling missing and inconsistent data

Module 8: Digital Data Collection Tools

• Mobile data collection platforms (ODK, KoboToolbox)
• Real-time data monitoring and dashboards
• Integrating multimedia and geospatial data
• Data security and privacy considerations

Module 9: Emerging Trends in Survey Research

• Use of AI and automation in surveys
• Big data integration and analytics
• Remote and online survey methodologies
• Adaptive and responsive survey designs

Module 10: Data Management and Practical Applications

• Data cleaning and preparation for analysis
• Documentation and metadata management
• Reporting survey findings effectively
• Case studies and practical exercises

Training Approach

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Certification

Upon successful completion of the training, participants will be awarded a certificate of completion by Steady Development Center.

Training Venue

The training will be held online. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, tutorials and all required training manuals. Any other personal expenses are catered by the participant.
For registration and further enquiries, contact us on:

• Tel: +254 701 180 097
• Email: training@steadytrainingcenter.com

Tailor-Made Option

This course can be customized to suit the specific needs of your organization and be delivered on-line to any convenient location.

Terms Of Payment

Upon agreement by both parties’ payment should be made to Steady Development Center’s official account at least 3 working days before training begins to facilitate adequate preparation.

Our Upcoming Training Schedule