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    • SPSS და AI Data Analysis

    Course Syllabus

    Course Title:

    SPSS & AI - Data Analysis

    Program Organizer:

    Training and Consultation Center, Georgian Institute of Public Affairs (GIPA)

    1. Course Objective

    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.

    2. Target Audience

    - Students, researchers, and professionals engaged in quantitative research and data analysis.

    3. Course Goals

    - 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

    4. Learning Outcomes

    - 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

    5. Number of Sessions & Topics

    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)

    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)

    4

    Data Cleaning & Normality Testing

    Data cleaning, identifying outliers, normality tests (Kolmogorov-Smirnov, Shapiro-Wilk)

    5

    Instrument Reliability & Factor Analysis

    Cronbach’s Alpha, internal consistency, factor analysis (PCA, EFA)

    6

    Data Correlations & Relationships

    Correlation analysis (Pearson, Spearman), simple and multiple linear regression

    7

    Parametric Tests I

    Independent and paired samples t-tests

    8

    Parametric Tests II

    One-way ANOVA, repeated-measures ANOVA

    9

    Nonparametric Tests I

    Chi-Square (χ²), Mann-Whitney U, Wilcoxon Signed-Rank Test

    10

    Nonparametric Tests II

    Kruskal-Wallis, Friedman Test

    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

    6. Teaching Methodology

    - 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

    7. Course Duration & Workload

    - Intensive short-term course: 1 month (12 sessions)

    - Total workload: 36 hours

    - Lecture schedule: Three times per week, 19:00–22:00

    8. Language of Instruction

    - Georgian / English

    9. Certification Requirements

    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

    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:

    • Graduates of GIPA - 10%
    • Family members studying on the same program at the same time - 10%

     Corporate Discount:

     In case if organization covers the personnel development costs, special discounts vary: 

    • two or three employees – 10%
    • four employees – 15%
    • five or more employees – 20%

    *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:

    • TBC Bank JSC
    • Bank code (MFO): TBCB GE 22
    • Name of recipient – Georgian Institute of Public Affairs
    • Account number - GE84TB1100000110700419 / GEL

    Interested applicants should complete the registration form.

    Registration Deadline: 28 March, 2025.

    Interviews with the selection committee will be conducted after September 24. Selected candidates will be notified via email or mobile.

    Program start date: 1 April, 2025

    Criteria for Selection:

    • Motivation
    • Communication skills
    • Working experience (preferable)
    • Knowledge of B2 level English (preferable)

    Elene Ramishvili

    Coordinator

    Training and Consulting Center

    Address: 2 Marie Brosset Street, Tbilisi, 0108

    E-Mail: e.ramishvili@gipa.ge

    Mob: (+995) 514 45 44 88