Mobile Data Collection & SPSS Analytics: Field Research Automation, Sampling Techniques & Insight-Driven Reporting
Venue: Lake Naivasha Resort, Naivasha-Kenya
Date: 1st - 6th June 2026
Cost: Kshs. 86,000 / USD 850
CPD points: 10
Overview
Combine mobile data collection with SPSS analytics for efficient field research and insight‑driven reporting. This program covers the entire research data lifecycle: designing mobile surveys, automating field data capture, applying sampling techniques, and analyzing data in SPSS. Participants will learn to create representative samples, ensure data quality, and produce statistical reports that inform decisions. Through hands‑on exercises and real‑world projects, attendees will build practical skills for conducting rigorous research in development, health, and social sectors. This program is ideal for researchers, M&E officers, and data analysts.
Objectives
- Design mobile surveys aligned with research objectives
- Apply sampling techniques (random, stratified, cluster) to select respondents
- Deploy mobile data collection tools (ODK, KOBO) for field use
- Monitor field data collection and ensure quality
- Export and clean data in SPSS
- Perform descriptive and inferential statistical analyses
- Generate tables, charts, and reports from SPSS
- Interpret findings and formulate actionable recommendations
- Ensure ethical considerations in data collection and analysis
Target Audience
- Monitoring and evaluation officers
- Research analysts and social scientists
- Survey managers and field coordinators
- Public health and development professionals
- Graduate students conducting research
- Anyone involved in primary data collection and analysis
Methodology
- Mobile survey design workshops
- Sampling technique exercises
- Field data collection simulations
- SPSS data analysis labs
- Case study reviews of research projects
- Peer feedback on survey instruments
- Action planning for research projects
