Training on Statistical Tools for Research
Comprehensive Mastery of SPSS, STATA, and R-Programming
Introduction
This 3-month intensive program is designed to transform students into versatile data analysts by mastering the “Big Three” of statistical software. By learning SPSS, STATA, and R simultaneously, students understand which tool is best for specific research tasks and how to maintain reproducibility across platforms.
Lecture Materials
Phase 1: Foundations & Software Mechanics
- Lecture 1: Software Comparison: Choosing between SPSS, STATA, and R
- Lecture 2: Interface Mastery: Data View, Do-files, and R-Scripts
- Lecture 3: Data Entry, Importing, and Exporting across formats
Phase 2: Data Engineering & Cleaning
- Lecture 4: Data Management in SPSS (Syntax) and STATA (Commands)
- Lecture 5: Tidy Data principles in R using
tidyverse - Lecture 6: Advanced Data Transformation and Handling Missing Values
Phase 3: Visualization & Descriptive Analysis
- Lecture 7: Publication-quality Graphics in STATA
- Lecture 8: The Grammar of Graphics:
ggplot2in R - Lecture 9: Advanced Reporting and Descriptive Summaries
Phase 4: Inferential Statistics & Modeling
- Lecture 10: Parametric and Non-parametric Hypothesis Testing
- Lecture 11: Linear and Logistic Regression Analysis
- Lecture 12: Multivariate Analysis: Factor Analysis & Reliability
- Lecture 13: Time Series and Panel Data Analysis
- Lecture 14: Reproducible Research: Automation and Reporting
- Lecture 15: Capstone Project: End-to-End Research Analysis
Course Contents:
- Multi-Software Proficiency: Advanced training in SPSS, R, and STATA from basic to expert levels.
- Data Lifecycle: Mastering the flow from Data Entry and Cleaning to Transformation.
- Advanced Analytics: In-depth coverage of ANOVA, Regression, and Logistic Modeling.
- Specialized Topics: Multivariate Analysis, Factor Analysis, and Time Series.
- Reproducibility: Learning to write professional Scripts, Do-files, and Syntax.
- Capstone Project: A final real-world research project integrating all three tools.