Data Analysis Using IBM SPSS Statistics Software Module 5, 6 & 7

Prof. Lydiah Wambugu
Last Update May 25, 2024
1 already enrolled

About This Course

This course is intended to introduce you to IBM SPSS Statistics software that is used to analyze quantitative data. Note that there is other software that can analyze quantitative data but SPSS is user friendly and an easy-to-use software. This course is appropriate for both undergraduate and postgraduate students, practitioners in Research organizations and consultants in Monitoring and Evaluation and any other stakeholder with an interest in data analysis and interpretation. 

Data analysis requires an understanding of Statistics and Research Methods. The assumption therefore is that as you register for this course, you have already gone through Statistics and Research Methods. This course will not take you through Statistical Methods Course or Research Methods Course. CLICK HERE to learn high quality Research Methods course for free.

1.2 Learning Outcomes

At the end of this course, you should able to:

  1. Describe the scales of measurements and their relationship to data analysis
  2. Discuss the types of statistics and their application during analysis;
  3. Identify and define variables in the SPSS software;
  4. Input data appropriately in the SPSS spreadsheet;
  5. Run both descriptive and inferential analysis on SPSS;
  6. Interpret and draw conclusions on the SPSS output analysis. 

1.3 Course Structure

There are 7 modules in this online course clustered in 3 courses. A course is not an end in itself but it should lead to the next. This is why at the end of every course; you will receive a result slip based on your performance in the assignment related to the course. However, at the end of the three courses, you will be issued with a certificate of completion.

Course 1 – Module 1 and Module 2

  1. Module 1 is on ‘Introduction to Data Analysis. This module will take you through types of statistics, types of hypotheses and types of statistical tests among others;
  2. Module 2 is on ‘Introduction to IBM SPSS Statistics’. This module will take you through the IBM SPSS Software environment. This will introduce you to the structure of IBM SPSS Statistics Software, the data editor, the output, how to define variables and how to enter/input data in the data editor. 

By the end of Course 1, you should be able to define variables and enter data in the SPSS Data editor. 

Course 2 – Module 3 and 4

  1. Module 3 is on ‘Descriptive Statistics’. This module will explain all the relevant descriptive statistics, demonstrate how to run descriptive statistics on SPSS and how to interpret descriptive statistics SPSS output; 
  2. Module 4 is on ‘Inferential Statistics’. This module will explain all the relevant inferential statistics, demonstrate how to run inferential statistics on SPSS and how to interpret inferential statistics SPSS output.

By the end of course 2, you should be able to analyze quantitative data using both descriptive and inferential statistics. 

Course 3 – Module 5, 6 and 7 

  1. Module 5 is on ‘Likert Scale’. This module will take you through how to define variables from a Likert Scale, enter Likert data into SPSS, how to transform and analyze Likert Data;
  2. Module 6 is on ‘Open-Ended Questionnaires’. This module will take you through how to define variables and enter data from an Open- ended Questions
  3. Module 7 is on ‘Reliability Test’. This will be a fee module that will take you through how to determine reliability of Quantitative Instruments.

Each module has learner centered lessons with practical examples. The lessons have an introduction, content and summary and has used conversational language that enhances learning.

For ease of understanding and practice, the following are uploaded for each lesson:

  1. PowerPoint slides without voice which you can read as notes;
  2. Audio recording for the lesson. The audio is more detailed and explains the power point slides;
  3. Audio recording as I demonstrate how to run the statistical test on SPSS.

1.4 Data Analyzed

This course will use data that has been drawn from a sample of 5 students and 5 lecturers as shown below:

Name Job Marital Status No of friends Alcohol Income
Leo lecturer Divorced 5 10 20,000
Martin lecturer Married 2 15 40,000
Andy lecturer Married 0 20 35,000
Paul Lecturer Single 4 5 22,000
Graham Lecturer Single 1 30 50,000
John Student Divorced 10 25 5,000
James Student Divorced 12 20 100
Mark Student Single 15 16 3,000
Jane Student Single 12 17 10,000
Grace Student Married 17 18 10

Please note that Quantitative Analysis requires a sample that is more than 30 (Central Limit Theorem). However, for the sake of our analysis and explanations, we shall use this data.

It is my hope that you will find this course worth your money and time.

Learning Objectives

Fundamentals of Data Analysis
Scales of measurements and their relationship to data analysis
Types of statistics and their application during analysis
The SPSS environment
Definition of variables in the SPSS software
How to enter data appropriately in the SPSS data editor based on the scale of measurement
How to use SPSS to analyze data using descriptive and inferential statistics
How to interpret data and draw appropriate conclusions based on the SPSS output.

Material Includes

  • Access on mobile, laptop and TV
  • Certificate of Completion


  • Internet Access
  • Mobile Phone/Tablet/TV or Laptop
  • A pen
  • A notebook

Target Audience

  • Undergraduate and postgraduate students
  • Practitioners in Research organizations
  • Consultants in Monitoring and Evaluation
  • Anyone with an interest in data collection, analysis and interpretation


29 Lessons

Module 5 – Likert Scale Data

Introduction to Likert Scale – Slide
Likert Scale Questions
Example of a Likert Scale Questionnaire – Video00:05:57
Defining Variables of Likert Scale on SPSS – Video00:10:47
Entering Data of Likert Scale on SPSS – Video00:08:25
Computing the Perception Score – Video00:11:07
Converting Continuous Data Into Categorical – Video00:15:57
Measures of Central Tendency & Measures of Variability – Video00:08:33
Tabular & Graphical Analysis On SPSS – Video00:13:06
Selecting Cases – Video00:14:05
Defining New Variables – Video00:14:47
How To Run Chi-Square Test Of Independence – Video00:07:00
How To Run Correlation On SPSS – Video00:00:00
How To Run Regression On SPSS – Video00:07:29
How To Run T-Test & One-Way Anova – Video00:11:39
Assignment 3 on Likert Scale

Module 6 – Open Ended Questions

Module 7 – Reliability Test

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Your Instructors

Prof. Lydiah Wambugu


6 Courses
6 Reviews
11 Students

Prof. Lydiah Wambugu is an associate professor in the Department of Educational Management, Policy & Curriculum Studies, University of Nairobi, Kenya. Lydiah is thus a teacher, mentor, trainer and a consultant who holds a PhD in Education (Research and Evaluation), M.Ed (Curriculum Studies) and B.Ed (Science). She has expertise in Research Methods, Program Evaluation, Curriculum Development & Implementation and Data Analysis using IBM SPSS Statistics software. She has handled trainings and capacity building workshops for students within and outside Kenya.

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KSh 8,000KSh 10,000

20% off
All Levels
29 lectures

Material Includes

  • Access on mobile, laptop and TV
  • Certificate of Completion
Enrollment validity: 180 days

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