Introduction

In today’s data-driven landscape, Monitoring and Evaluation (M&E) professionals are expected to harness advanced analytical tools to transform raw data into actionable insights. SPSS (Statistical Package for the Social Sciences) is a leading software that empowers M&E practitioners to perform quantitative data analysis, predictive modeling, and trend forecasting, ensuring evidence-based program decisions. SPSS for M&E Training Course provides an in-depth, hands-on approach to SPSS, equipping participants with practical skills in data cleaning, statistical testing, visualization, and reporting tailored to complex M&E contexts.

Designed for professionals seeking to enhance program effectiveness, impact measurement, and data integrity, this training emphasizes real-world applications of SPSS in survey analysis, evaluation studies, impact assessments, and policy monitoring. Participants will gain proficiency in data-driven decision-making, reporting automation, and performance optimization, positioning them as valuable assets in both governmental, NGO, and private sector M&E teams.

Programme Curriculum

SPSS for M&E Training Course

Introduction

Course Duration

5 days

Course Objectives

By the end of this course, participants will be able to:

Master SPSS interface navigation for M&E applications.
Conduct data cleaning, transformation, and management efficiently.
Apply descriptive and inferential statistics for program evaluation.
Design customized dashboards and visualizations for stakeholders.
Implement trend analysis and predictive modeling for program forecasting.
Conduct correlation, regression, and ANOVA analyses for evidence-based insights.
Utilize advanced data coding and variable transformations.
Integrate survey and longitudinal data for comprehensive evaluations.
Enhance report generation and automated statistical summaries.
Ensure data quality, validation, and reliability in M&E datasets.
Interpret findings to influence policy and program decisions.
Develop M&E frameworks supported by robust statistical evidence.
Apply case-based learning to real-life program evaluation scenarios.

Target Audience

M&E Officers and Specialists
Program Managers and Coordinators
Data Analysts in NGOs and International Agencies
Policy Analysts and Government M&E Practitioners
Research Assistants and Evaluators
Social Scientists and Public Health Professionals
Development Consultants
Graduate Students in Social Sciences and Data Analytics

Course Modules

Module 1: Introduction to SPSS and Data Management

Overview of SPSS interface and functionalities
Importing and exporting data from multiple sources
Data cleaning, validation, and error detection
Variable creation, recoding, and labeling
Case Study: Cleaning and preparing household survey data

Module 2: Descriptive Statistics and Data Visualization

Measures of central tendency and dispersion
Frequency tables and cross-tabulations
Histograms, pie charts, and bar charts
Visual exploration of trends and outliers
Case Study: Visualizing nutrition survey outcomes

Module 3: Inferential Statistics for M&E

Hypothesis testing fundamentals
T-tests, Chi-square, and ANOVA
Interpreting p-values and confidence intervals
Linking results to program objectives
Case Study: Evaluating training effectiveness in health programs

Module 4: Correlation and Regression Analysis

Pearson and Spearman correlation
Simple and multiple linear regression
Predicting program outcomes
Model diagnostics and assumption checking
Case Study: Predicting enrollment rates in educational programs

Module 5: Advanced Data Transformations

Computing new variables and indices
Handling missing values and outliers
Standardization and normalization techniques
Creating categorical variables from continuous data
Case Study: Constructing socio-economic status indices

Module 6: Longitudinal and Survey Data Analysis

Handling repeated measures and panel data
Survey weighting and stratification
Trend analysis over multiple periods
Data aggregation and disaggregation techniques
Case Study: Monitoring vaccination coverage over 5 years

Module 7: Reporting and Dashboard Creation

Generating automated tables and charts
Creating SPSS output for stakeholder reports
Exporting results to Excel, Word, and PDF
Visual dashboards for program performance tracking
Case Study: Developing a program performance dashboard

Module 8: Applied M&E Case Studies in SPSS

Integrating all skills in real-world scenarios
Analyzing project impact data
Identifying program strengths and gaps
Formulating recommendations based on statistical evidence
Case Study: Evaluating water sanitation project impact

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

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 Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

SPSS data analysis Statistical testing Data cleaning Results interpretation

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000