SPSS & AI - Data Analysis
Training and Consultation Center, Georgian Institute of Public Affairs (GIPA)
This intensive course aims to teach participants data analysis using SPSS, incorporating both traditional methods and modern AI-driven techniques. Throughout the course, participants will gain proficiency in data management, analysis, and visualization, enabling them to optimize statistical computations by reducing time and effort.
- Students, researchers, and professionals engaged in quantitative research and data analysis.
- Understanding the SPSS interface and core functionalities
- Applying descriptive statistics for data analysis
- Using inferential statistics for hypothesis testing
- Integrating AI tools for automated syntax generation and rapid analysis
- Conducting independent data analysis through practical assignments
- Visualizing and reporting results according to APA-7 standards
- Upon completion of the course, participants will be able to:
- Create, clean, and manage databases using SPSS
- Apply descriptive and inferential statistical methods accurately
- Test hypotheses based on research data
- Automate SPSS syntax and utilize AI tools effectively
- Present statistical findings according to APA-7 standards
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N |
Topic |
Subtopics |
|
1 |
Introduction to Data Analysis & SPSS Interface |
Fundamental principles of quantitative research, data types, questionnaire formats, transferring data from Google Forms to SPSS, creating variables (Labels, Values), entering data, defining variable types (Measure, Type) |
|
2 |
Variable Manipulation |
Automatic recoding and transformation of variables (Automatic recode, recode into same/different variables), calculating total scale scores (Compute) |
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3 |
Descriptive Statistics |
Frequency distributions, measures of central tendency and variability (Mean, Median, Mode, SD), data visualization (Graphs), selecting cases (Select Cases), splitting datasets (Split File) |
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4 |
Data Cleaning & Normality Testing |
Data cleaning, identifying outliers, normality tests (Kolmogorov-Smirnov, Shapiro-Wilk) |
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5 |
Instrument Reliability & Factor Analysis |
Cronbach’s Alpha, internal consistency, factor analysis (PCA, EFA) |
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6 |
Data Correlations & Relationships |
Correlation analysis (Pearson, Spearman), simple and multiple linear regression |
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7 |
Parametric Tests I |
Independent and paired samples t-tests |
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8 |
Parametric Tests II |
One-way ANOVA, repeated-measures ANOVA |
|
9 |
Nonparametric Tests I |
Chi-Square (χ²), Mann-Whitney U, Wilcoxon Signed-Rank Test |
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10 |
Nonparametric Tests II |
Kruskal-Wallis, Friedman Test |
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11 |
Summary Session – Independent Analysis Using AI |
Review of key concepts, independent data analysis using AI-driven tools for syntax automation |
|
12 |
Final Project Presentation & Evaluation |
Participants present their full analysis on real-world data, following APA reporting standards |
- Each session includes:
- Traditional statistical analysis using SPSS
- Automated SPSS syntax generation
- Utilization of AI tools (e.g., OpenAI) for data processing
- Independent practical assignments
- Intensive short-term course: 1 month (12 sessions)
- Total workload: 36 hours
- Lecture schedule: Three times per week, 19:00–22:00
- Georgian / English
To receive a certificate, participants must:
- Conduct a full-scale data analysis on real-world data
- Prepare a research report
- Deliver a presentation following APA-7 standards
Salome Dumbadze - Salome has more than 8 years of teaching experience and works as an academic assistant and researcher. She is a PhD candidate at Ivane Javakhishvili Tbilisi State University in the program “Positive Psychology – Empirical Research.” She holds a Master’s degree in Applied Psychology from the Georgian Institute of Public Affairs (GIPA) and a Bachelor’s degree in Integrated Social and Cognitive Psychology from Jacobs University Bremen. Salome is a lecturer of several academic courses, including: Data Analysis using SPSS, Statistics I (Descriptive Statistics), Statistics II (Inferential Statistics), Positive Psychology in a Social Context, and Positive Psychological Interventions in a Social Context. She is also a co-author of several scientific publications. Her professional experience spans multiple fields. In addition, she works as a trainer in child protection with a focus on Positive Discipline at World Vision Georgia; as a coach at LLC “Ultimate Coaching Solutions”; and as a Senior Specialist at the LEPL State Fund for the Protection and Assistance of Victims of Human Trafficking under the Ministry of Health, as well as at the LEPL State Care Agency.
Program cost: 800 GEL
Payment schedule: payment is made in 2 installments
I instalment - 500 GEL
II instalment - 300 GEL
III instalment - 1000 GEL
Discount System
The program includes individual discounts:
Corporate Discount:
In case if organization covers the personnel development costs, special discounts vary:
*One person is eligible to receive one type of discount per program.
Payment: The installments should be made on the organizational account. Personal ID number and name of the program should be included in the payment order.
Bank details:
Interested applicants should complete the registration form.
Registration Deadline: February 2, 2026.
Interviews with the selection committee will be conducted after September 24. Selected candidates will be notified via email or mobile.
Program start date: February 5, 2026
Criteria for Selection:
Zhana Antia
Head
Training and Consulting Center
Address: 2 Marie Brosset Street, Tbilisi, 0108
E-Mail: zh.antia@gipa.ge
Mob: (+995) 595 592 301
