Introduction

Structural modeling is one of the most innovative research methodologies for studying a wide range of scientific phenomena, particularly in the analysis of behavioral study data. This approach enables researchers to design theoretical models that quantitatively capture the complex interrelationships among the various components of a phenomenon and external factors. It further provides a comprehensive and integrated framework for testing model validity and interpreting results using advanced mathematical techniques grounded in statistical analysis.

Diploma Objectives

The program is designed to equip participants with the essential skills and knowledge in statistical analysis and structural modeling using AMOS software. This will enable them to design and rigorously test theoretical models effectively. Additionally, the diploma aims to enhance participants’ research capabilities, empowering them to interpret data accurately and comprehensively—thus contributing to the advancement of scientific and behavioral research and its practical applications.

Course Outline

  1. Constructing, estimating, and testing scales, and ensuring their quality.
  2. Steps for developing scales and models.
  3. Key components of models.
  4. Procedures for building models.
  5. Types of models.
  6. Validity and reliability tests.
  7. Tests for homogeneity and equivalence.
  8. Exploratory Factor Analysis.
  9. Working with AMOS software.
  10. Confirmatory Factor Analysis.
  11. Goodness-of-fit tests and strategies for refining the estimated model.
  12. Simple linear regression analysis.
  13. Multiple linear regression analysis.
  14. Path analysis.
  15. Mediation analysis, including full and partial mediation.
  16. Measuring direct and indirect effects with one or multiple mediators.
  17. Isolating the effect of each mediating variable individually (Baron-Kenny method, Sobel z-test, bootstrapping, modeling approach, and modeling with bootstrapping).
  18. Moderated mediation (conditional indirect effects) and mediated moderation (involving both the mediator and the moderator).
  19. Dual-stage moderated mediation.
  20. Formulating research questions and hypotheses in mediation studies.
  21. Multi-group analysis.
  22. Key components of structural equation modeling.
  23. Bayesian estimation in structural equation modeling.
  24. Meta-analyses.
  25. Decision trees.
  26. Neural networks.

Instructor

Dr. Mohamed Ibrahim El-Kholy
Professor, Department of Economics, Zagazig University, Egypt

Dr. El-Kholy is a seasoned academic with extensive expertise in statistical analysis and structural modeling. He holds a Certified Instructor Preparation credential (CIPT) accredited in the United States and a diploma in statistics from the Institute of Statistical Studies and Research at Cairo University. He has led numerous training sessions—both in-person and online—covering software such as SPSS, AMOS, EViews, SAS, M-Stat, Statistics, Excel, and GraphPad Prism. Additionally, he has delivered accredited courses at the Faculty Development Center at Zagazig University on topics such as scientific writing, research methodology, and international research publication. His research and training experience spans various projects in mechanized agriculture, women’s political participation, urban behavior studies, and fisheries management, along with extensive statistical consulting for master's and doctoral research across disciplines including medicine, veterinary science, pharmacy, science, agriculture, special education, sports, humanities, and commerce. Dr. El-Kholy is also the author of practical guides such as Computer and Office Programs and Introduction to Statistics and Probability Distributions.

Diploma Schedule

Class Days: Every Saturday and Tuesday 

Time: 7:00PM (Makkah Time)

Location: Online via Zoom

Number of Levels: 4 levels

Duration per Level: 3 weeks

Hours per Level: 12 hours (with sessions distributed accordingly)

Total Duration: 12 weeks

Total Hours: 48 hours

Registration Fee: USD 100 (covers all levels and includes:

  • A certified participation certificate
  • Full recordings of all sessions
  • Comprehensive course materials)

Registration Process

To register, please click the "Register in the Program" button located on the side of the page.

For any inquiries or further information, feel free to contact us at:
info@eventsgate.org

Category:

Organizers and sponsors

بوابة الأحداث العلمية
Scientific Events Gate is a leading academic institution registered in Malaysia, dedicated to advancing research and empowering academic professionals. It organizes and manages a variety of scientific events—such as conferences, seminars, workshops, and professional training programs—to create an exceptional environment for scholarly growth. Beyond event management, the Gate offers additional services, including educational support, scientific consultations, and academic publishing. Serving as a comprehensive resource for researchers, academics, and postgraduate students, Scientific Events Gate strives to foster an enriching atmosphere that enhances academic life and elevates the quality of research. A specialized team of experts, boasting over 15 years of experience in scientific event management, oversees its operations. Additionally, a wide network of specialists contributes to its scientific program committees, ensuring that the Gate’s objectives are met. By offering a diverse range of services, the Gate plays a vital role in supporting scientific research and enriching academic communities, thereby reinforcing the value of knowledge in society.