Word count: 2500 words
Objectives to cover:
Introduction to SPSS as a powerful tool for statistical analysis and research.
Understanding SPSS architecture, data structures, and variable definitions.
Importing, handling, and transforming data efficiently within SPSS.
Performing descriptive statistics and hypothesis testing using SPSS tools.
Applying multivariate techniques like factor, cluster, and discriminant analysis.
Building predictive models using regression and logistic analysis in SPSS.
Enhancing analysis with scripting, macros, and integration with Python/R.
Visualizing results and generating reproducible statistical reports.
Conclusion: Leveraging SPSS for advanced, data-driven decision-making across sectors.
Reference: APA style