Fieldwork and Survey Research Methods Course

Course Category : Human Capital

A specialised programme designed to develop professional competencies in planning and conducting fieldwork and survey research using rigorous methodologies that ensure data quality and reliable outcomes.

Introduction

Fieldwork and survey research provide critical evidence for organisational decision-making, policy development, programme evaluation, and strategic planning. The quality of research findings depends on robust methodologies, effective data collection processes, and well-managed field operations.
This course explores modern approaches to fieldwork and survey research, covering study design, sampling techniques, questionnaire development, field data collection, quality assurance, and research reporting to ensure reliable and meaningful research outcomes..

Targeted Audience

  • Researchers and Analysts
  • Research Centre Professionals
  • Planning and Development Officers
  • Statistics and Data Analysis Personnel
  • Monitoring and Evaluation Specialists
  • Consultants and Social Researchers
  • Government and NGO Professionals
  • Individuals Interested in Survey Research

Targeted Skills

  • Survey and Research Design
  • Sampling Methodologies
  • Data Collection Instrument Development
  • Fieldwork Management
  • Research Data Quality Assurance
  • Survey Data Interpretation

Expected Outcomes

  • Understand modern fieldwork and survey research methodologies.
  • Design scientifically sound research studies and surveys.
  • Select appropriate sampling techniques for research objectives.
  • Develop effective field data collection instruments.
  • Manage field operations and ensure data quality.
  • Analyse survey findings and prepare professional research reports.

Training Topics Index

  • Concepts of field and survey research
  • Types of research studies
  • Research implementation stages
  • Research ethics principles

  • Defining research objectives and questions
  • Research methodology design
  • Probability and non-probability sampling
  • Sample size determination

  • Survey questionnaire design
  • Structured and semi-structured interviews
  • Field observation techniques
  • Instrument testing and refinement

  • Field operation planning
  • Data collection team management
  • Data quality monitoring
  • Managing research bias and errors

  • Preparing data for analysis
  • Survey findings interpretation
  • Research report preparation
  • Presentation of conclusions and recommendations

Course Features

  • Updated and Interactive Content
  • Hypothetical Examples and Case Studies
  • Pre- and Post-assessments to Measure Impact
  • Verified Certificate with a QR Verification Code