Introduction:

The Scientific Events Gate is pleased to announce the launch of the Diploma in Statistical Analysis Using SPSS, designed to equip participants with both basic and advanced skills in using SPSS for data analysis. This comprehensive program empowers researchers and professionals to make scientifically grounded decisions based on accurate data analysis across various fields. Whether you are a researcher or a practitioner, this diploma will enhance your ability to understand, process, and analyze data efficiently, boosting your competence in academic research and practical applications alike.

Diploma Topics

Level 1: Foundations of Statistical Analysis

Introduction to Statistics, Types of Variables and Data, Data Collection Methods, and Questionnaire Design.

Sampling Techniques and Determining Sample Size Based on the Research Methodology.

Data Coding, Preparation, and Cleaning before Analysis Using SPSS.

Scientific Basis for Hypothesis Formulation and Statistical Testing Procedures.

Descriptive Statistics, Basic Analytical Techniques, and Interpretation of Results.

Outliers Detection and Management, and Its Impact on Statistical Significance.

Handling Missing Data.

Testing Differences for Qualitative Data.

Effect Size Calculation for Related Samples.

Level 2: Inferential Statistics and Advanced Techniques

Tests for Quantitative Data Differences: One-Sample T-Test, Paired T-Test, Independent T-Test.

Effect Size Calculation for Independent Samples.

Variance Analysis (ANOVA, Two-Way ANOVA, MANOVA, Repeated Measures MANOVA).

Odds Ratio and Relative Risk Calculations.

Multivariate Analysis of Variance (MAVOVA).

Covariance Analysis (ANCOVA).

Graphical Analysis and Error Detection Using SPSS and Excel.

Level 3: Questionnaire Design and Scale Reliability

Scientific Basis for Questionnaire Design, Item Coding, and Weighting.

Developing Scales and Testing Validity and Reliability (Cronbach’s Alpha, Split-Half, Spearman-Brown, Guttman).

Discriminant Validity and Extreme Group Comparison.

Testing Homogeneity Between Groups (Control of Study Variables in Quasi-Experimental and Experimental Studies).

Category Splitting Techniques.

Data Transformation and Standardization (Z-Scores, T-Scores) Using SPSS and Excel.

Data Entry, Validity, and Reliability Testing.

Correlation Analysis (Quantitative, Ordinal, Nominal, and Partial Correlation).

Multiple Linear Regression Analysis.

Level 4: Advanced Regression and Non-Linear Models

Non-Linear Regression (Curve Estimation, Partial Least Squares, Binary Logistic Regression, Multinomial Logistic Regression, Ordinal Regression, Probit Regression, Weighted Regression).

Use of Dummy Variables in Regression Analysis.

Receiver Operating Characteristic (ROC) Curve Analysis.

Time Series Analysis and Stability Testing Using Excel and SPSS.

Analysis of Multiple and Repeated Responses.

Decision Tree Analysis.

Neural Networks Analysis.

Level 5: Advanced Multivariate Techniques

Exploratory Factor Analysis (EFA).

Confirmatory Factor Analysis (CFA) Using AMOS.

Path Analysis Using AMOS.

Discriminant Analysis.

Cluster Analysis.

Results Interpretation, Error Detection, and Correction.

Responding to Reviewer Comments in International Journals.

Becoming a Statistical Reviewer for International Journals.

Overview of Other Commonly Used Statistical Software: SAS, COSTAT, STATISTICS.

International Trainer:

Prof. Dr. Mohamed Ibrahim El-Khouly

Professor, Department of Economics, Zagazig University, Egypt

Professional Background:

Certified International Professional Trainer (CIPT) – USA.

Diploma in Statistics – Institute of Statistical Studies and Research, Cairo University.

Delivered numerous online and in-person training programs in statistical analysis using SPSS, AMOS, EViews, SAS, M-Stat, Statistics, Excel, GraphPad Prism.

Certified Trainer at the Faculty and Leadership Development Center, Zagazig University, where he conducted workshops on:

Scientific Writing and Avoiding Plagiarism

Research Methodology

International Publishing

Participated in major research projects, including:

Economic Efficiency of Mechanized Agriculture

Political Participation of Egyptian Women

Behavioral Disorders in Egyptian Streets

Fisheries Development in Egypt

Conducted statistical analyses for numerous Master’s theses, PhD dissertations, and research papers across fields such as:

Medicine, Veterinary Medicine, Pharmacy, Science, Agriculture, Special Education, Physical Education, General Education, Humanities, and Commerce—both in Egypt and internationally.

Published Books:

Introduction to Statistics and Probability Distributions

Computer Skills and Office Applications

Diploma Schedule:

Start Date: Monday, September 1, 2025

Days: Monday and Thursday every week

Time: 7:00 PM (Mecca Time)

Platform: Zoom

Duration per Level: 3 weeks

Hours per Level: 12 hours

Total Duration: 15 weeks

Total Hours: 60 hours

Registration Fees:

100 USD, inclusive of:

Official Certificate

Recorded Sessions

Scientific Materials

How to Register:

You can register by clicking on (Register for the Program).

For inquiries, please contact us at:

📧 info@eventsgate.org