Introduction
SPSS is a powerful statistical analysis tool used to interpret and manage large data sets. This course focuses on harnessing SPSS to organize, code, and analyze qualitative data. Designed for researchers and analysts, it combines hands-on training with theoretical understanding, equipping participants with the skills to:
- Draw correlations between variables
- Make statistically valid forecasts
- Integrate qualitative insights into broader research
By the end of this course, participants will confidently apply SPSS tools for structured reporting and decision-making. A Certificate of Participation will be awarded to those who complete the training.
Course Objectives
By the end of this training, participants will be able to:
- Use SPSS comfortably for data analysis
- Enter, reorganize, and clean data
- Summarize findings and present results graphically
- Apply and interpret inferential statistics
- Develop models and integrate data
- Generate professional research reports using SPSS
Duration
5 Days
Who Should Attend
This course is ideal for:
- Project staff
- Researchers
- Managers
- Decision makers
- Development practitioners
Especially those working with data in program evaluation, monitoring, or research.
Course Outline
Module 1: Introduction to SPSS & Data Processing Tools
- Overview of SPSS interface and functionality
- Creating/editing data files
- Basic statistical terms and inferential statistics
- Data quality checks and exploratory analysis
- Introduction to CsPro and mobile data collection
Module 2: Data Entry, Management & Manipulation in SPSS
- Defining/labeling variables
- Managing missing data and filters
- Merging and restructuring data
- Recoding and computing variables
- Introduction to syntax and data formatting
Module 3: Data Visualization, Tabulation & Reporting
- Frequency tables and descriptive statistics
- Graph creation: bar charts, histograms, pie charts
- Customizing and exporting visuals
- Producing report-ready SPSS outputs
Module 4: Advanced Statistical Analysis with SPSS
- Correlation, regression, and hypothesis testing
- T-tests, ANOVA, and non-parametric tests
- Time Series and Econometric basics
- Data reduction and interpretation
Module 5: Applied Data Analysis & Practical Exercises
- Guided group/individual exercises
- Analyzing real or sample data
- Presenting and interpreting results
- Troubleshooting and final Q&A
- Post-training assessment
General Notes
- The course is instructor-led using a blended learning approach, including practical exercises, web tutorials, and group work.
- Facilitated by experienced industry professionals.
- All sessions and materials are delivered in English.
- Participants will receive a Certificate of Participation.
Logistics & Venue
Location: Kincaid Training Centre
Fees Include:
- Tuition
- Training materials
- Two break refreshments & lunch daily
Not Included:
- Travel, visa, insurance, and accommodation (can be arranged on request)
Contact & Registration
Email: training@kincaiddevelopmentcenter.org
Phone: +254 724 592901
To reserve a spot or customize this training for your organization, please contact our training coordinator.
Note: Payment must be made before training starts. Send proof of payment to training@kincaiddevelopmentcenter.org