SPSS for Data Analysis

Week 1: Introduction & Data Preparation

• SPSS interface and navigation
  
• Data entry and importing datasets
  
• Variable types and coding
  
• Data cleaning and preparation

Week 2: Descriptive Statistics & Visualization

• Measures of central tendency and dispersion
• Frequency distributions
• Charts and graphs (bar, histogram, scatter, boxplot)
• Data interpretation basics

Week 3: Inferential Statistics & Hypothesis Testing

• Independent & paired t-tests
• Chi-square tests
• Correlation analysis
• Reading and interpreting SPSS outputs

Week 4: Regression, ANOVA & Mini Project

• Linear and multiple regression
• One-way ANOVA and non-parametric alternatives
• Reliability testing (Cronbach’s Alpha)

Final Project: analyze and report on a dataset