SPSS, formerly known as Statistical Package for Social Science is one of the most popular statistical software and this is due to the fact that it easy to use and has a very user friendly interface due to its point and click interface. In thsi course we take a look at how we can apply some key fundamental statistical principles in analysis our data in SPSS.

Requirements

  • Willingness to learn
  • Laptop
  • Analytic and Logical reasoning.

Who is this course for:

  • NGO workers
  • Biostatisticians
  • Public Health Analysts
  • Epidemiologists
  • Undergraduates and Postgraduates

Course Outcome:

  • Trainees should also be able to explain statistical concepts explained in this course.
  • Trainees at the end of the course should be able to use SPSS to analyze data in their respective domain fields.

Course Outline:

Introduction to SPSS

  • SPSS Installation

Statistics

  • Descriptive and Inferential Statistics
  • Parametric and Non-Parametric Statistics

Data Entry in SPSS

  • SPSS Data view
  • SPSS variable view

Data Transformation

  • Computing variable function
  • Recoding
  • Recoding into a different variable
  • Recoding into same variable

Descriptive Statistics in SPSS

  • Concept of descriptive statistics
  • Types of descriptive statistics

Inferential Statistics in SPSS

  • Independent Sample T-test
  • Paired Sample T-test
  • One-Way ANOVA
  • Linear Regression
  • Multiple Regression
  • Chi-Squred test

Reliability Analysis

  • Concept of Reliabiliy Analysis
  • Types of Relibaliliy Analysis
  • Internal Consistency Reliablity
  • Cronbach’s Alpha
  • Cronbach’s Alpha Assumptions