Advanced Statistical Analysis Skills Using SPSS

Introduction

A wide range of software packages is available for statistical data analysis, and one of the most widely recognized and commonly used is the Statistical Package for the Social Sciences (SPSS). SPSS provides researchers with access to many of the statistical tests and analytical procedures required to examine research data.

For this reason, researchers, postgraduate students, and professionals working with statistical data are encouraged to develop strong practical skills in SPSS so that they can select and conduct appropriate statistical analyses for their studies accurately and efficiently.

General Course Objective

The course aims to enable participants to develop the statistical skills required to collect, organize, present, analyze, and interpret data using SPSS.

Specific Course Objectives

• Understand the concept of statistics and distinguish between descriptive and inferential statistics.
• Understand questionnaires, their main types, advantages, and limitations.
• Use SPSS for statistical data analysis.
• Identify the most appropriate statistical techniques for different types of research data using SPSS.

Practical Training Topics

1. 1. Introduction to the SPSS working environment and interface.
2. 2. Main menus, toolbars, and shortcuts in SPSS.
3. 3. Entering data into SPSS.
4. 4. Performing data transformations.
5. 5. Importing data from Microsoft Excel into SPSS.
6. 6. Coding research data.
7. 7. Managing data through the Data menu.
8. 8. Using transformation functions and procedures.
9. 9. Processing and preparing statistical data.
10. 10. Calculating reliability and validity coefficients.
11. 11. Using charts, graphs, and frequency tables.
12. 12. Summarizing data using cross-tabulations and combined tables.
13. 13. Descriptive statistics for discrete and continuous variables.
14. 14. Correlation coefficients for continuous and ordinal data.
15. 15. The three main types of t-tests.
16. 16. One-way, two-way, and multivariate analysis of variance.
17. 17. Regression analysis.
18. 18. Mann–Whitney, Kruskal–Wallis, Friedman, and other non-parametric tests.
19. 19. Interpreting statistical analysis results.
20. 20. Exporting SPSS output to Microsoft Word.
21. 21. Interpreting findings in an academic research context.
22. 22. Comprehensive analysis of data collected through a research questionnaire.

Target Audience

Training Requirements

• Basic computer skills.
• Basic knowledge of statistics.
• A laptop or computer with SPSS installed.

The course accommodates participants with varying levels of previous experience, including beginners.

Asst. Prof. Dr. Ehab Ismail Ahmed

Dr. Ehab Ismail Ahmed is a specialist in statistics with academic and professional experience in statistical analysis, economics, accounting, feasibility studies, and research consultancy.

His academic experience includes teaching statistics at the Islamic University in America, Al-Hidaya University, and the University of Brussels, as well as teaching economics and accounting at the Islamic University in America.

He has served as a statistical and feasibility-study consultant for the Egyptian Inventors Syndicate, the World Federation for Child Welfare in Egypt, and Everest International Organization for Inventions in Jordan.

He is a member of the Union of Arab Academics and Scientists and Everest International Organization for Inventions. He has served as an academic reviewer and is affiliated with the Global Trainer Academy in Sohag, Egypt, with experience as an international SPSS trainer.

Schedule and Registration Fees

The course runs for one full month, with 10 lectures of 2 hours each.

Early registration: USD 120 before 30 June 2022.

Late registration: USD 140 after 30 June 2022.

Schedule note: Participants who miss a lecture for an acceptable reason may make up the session through the available recordings.