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