Basic Data Analysis with SPSS
Course materials for BDRS Training Program
Introduction
This course introduces Stata for data management and academic research. Students will learn the entire research workflow, from initial data entry and cleaning to advanced statistical modeling and project reporting.
| Unit / Topic | Lecture Details | Resources |
|---|---|---|
| Getting Started | Course Overview & Software Installation | — |
| Module 1: Interface & Inputs | Lecture 1: Introduction to SPSS Interface | ⬇️ Download |
| Lecture 2: Data Entry & Importing (Excel, CSV, Text) | ⬇️ Download | |
| Module 2: Data Management | Lecture 3: Data Management I (Labeling & Coding) | ⬇️ Download |
| Lecture 4: Data Management II (Recoding & Computing Variables) | ⬇️ Download | |
| Module 3: Visualizations | Lecture 5: Graphical Presentation I (Bar, Pie, & Histograms) | ⬇️ Download |
| Lecture 6: Graphical Presentation II (Boxplots & Scatterplots) | ⬇️ Download | |
| Module 4: Data Summarization | Lecture 7: Summarization of Data I (Frequencies & Descriptives) | ⬇️ Download |
| Lecture 8: Summarization of Data II (Crosstabs & Custom Tables) | ⬇️ Download | |
| Module 5: Analysis & Modeling | Lecture 9: Statistical Inference Tests (t-tests, ANOVA, Chi-Square) | ⬇️ Download |
| Lecture 10: Statistical Modeling (Correlation & Regression) | — | |
| Module 6: Capstone Application | Lecture 11: Full Research Project & Paper Analysis I | ⬇️ Download |
| Lecture 12: Full Research Project & Paper Analysis II | — |
Course Contents:
- Introduction to SPSS: Navigating Data View vs. Variable View.
- Data Management: Merging, splitting, and transforming datasets.
- Data Visualization: Creating publication-quality charts and graphs.
- Hypothesis Testing: Mastering parametric and non-parametric tests.
- Regression Analysis: Building and interpreting linear and logistic models.
- ANOVA: Comparing means across multiple groups.
- Missing Data: Identification and imputation techniques.
- Full Research Workflow: From raw data to final analysis report.