Research and Data Analysis

SPSS in Multivariate Analysis and Custom Syntaxes Training Course

Introduction

Researching sensitive topics—such as gender-based violence, mental health, human rights violations, and marginalized populations—requires a rigorous, ethical, and analytical approach. SPSS in Multivariate Analysis, and Custom Syntaxes Training Course equips researchers, analysts, and social scientists with the advanced data analysis tools and ethical research strategies needed to investigate sensitive subjects while preserving the dignity, safety, and confidentiality of participants.

The course offers hands-on, practical training in quantitative data analysis, SPSS automation, and complex modeling techniques. With a focus on real-world case studies, the program ensures participants master custom syntaxes for automation, advanced factor analysis, MANOVA, discriminant analysis, and logistic regression—empowering them to handle vulnerable populations’ data accurately, ethically, and efficiently.

Programme Curriculum

SPSS in Multivariate Analysis, and Custom Syntaxes Training Course

Introduction

Course Objectives

Understand the ethical protocols in researching sensitive topics.
Apply SPSS custom syntaxes for automated and repeatable analyses.
Perform multivariate statistical analysis with real-world datasets.
Use MANOVA to analyze group differences across multiple variables.
Conduct factor analysis for psychometric or attitudinal scales.
Implement discriminant function analysis for classification tasks.
Build and interpret binary and multinomial logistic regression models.
Create custom SPSS macros to enhance research productivity.
Explore missing data imputation strategies for sensitive data.
Assess model fit and assumptions in multivariate techniques.
Analyze longitudinal data for time-sensitive sensitive studies.
Interpret results within culturally appropriate frameworks.
Develop data reporting templates using syntax-driven automation.

Target Audience

Academic Researchers
NGO Monitoring & Evaluation Officers
Graduate Students in Social Sciences
Data Analysts and Statisticians
Public Health Researchers
Human Rights Investigators
Policy Analysts
Research Ethics Committee Members

Course Duration: 5 days

Course Modules

Module 1: Foundations of Researching Sensitive Topics

Defining sensitive topics in research
Ethical and legal considerations
Informed consent and data confidentiality
Risk mitigation strategies
Working with vulnerable populations
Case Study: Researching Gender-Based Violence in Rural Communities

Module 2: SPSS Essentials and Data Preparation

Data entry and validation for sensitive variables
Labeling, coding, and managing data securely
Handling missing values and outliers
Dataset merging and restructuring
Importing sensitive datasets from surveys and mobile tools
Case Study: Survey Analysis on LGBTQ+ Mental Health

Module 3: Custom Syntaxes in SPSS

Introduction to SPSS syntax language
Creating reusable syntax templates
Automating repetitive tasks
Writing conditional commands for sensitive subgroups
Using syntax for reproducibility and transparency
Case Study: Automating Report Generation on Human Rights Violations

Module 4: Multivariate Analysis Using SPSS

Overview of multivariate statistical techniques
Data suitability and assumption testing
Choosing the right model for sensitive data
Interpreting multivariate output
Controlling for confounding variables
Case Study: Multivariate Analysis of Domestic Violence Factors

Module 5: Factor and Reliability Analysis

Exploratory Factor Analysis (EFA) basics
Rotations, communalities, and loading interpretations
Reliability testing (Cronbach’s Alpha)
Developing scales for sensitive constructs
Validating psychometric instruments
Case Study: Measuring Trauma Resilience in Refugee Populations

Module 6: Logistic and Multinomial Regression

Binary logistic regression principles
Multinomial regression modeling
Variable selection techniques
Model fit and diagnostics
Interpreting odds ratios and coefficients
Case Study: Predicting Help-Seeking Behavior Among Abuse Survivors

Module 7: MANOVA and Discriminant Analysis

Understanding MANOVA design
Interpreting multivariate test results
Discriminant function coefficients and group classification
Visualizing group separation
Reporting multivariate outcomes
Case Study: Educational Outcomes in War-Affected Children

Module 8: Customizing SPSS Output and Reporting

Automating output formatting
Exporting syntax-driven tables and figures
Creating publication-ready reports
Custom macros for standardized reporting
Data storytelling with sensitivity
Case Study: Reporting Results from a Mental Health Hotline Study

Training Methodology

Instructor-led live sessions with SPSS demonstrations
Hands-on guided SPSS labs and exercises
Use of anonymized sensitive datasets for practice
Case-based discussions for ethical decision-making
Peer group collaboration for syntax building
Feedback sessions with real-time troubleshooting

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 multivariate analysis custom syntax

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