Introduction to JASP

What is JASP?

• JASP is computer software for statistical analysis.
• Alternatives include R with R Studio, Stata, SAS, Minitab, SPSS.
• Suitable for students, instructors, business professionals, and researchers.

Why Use JASP?

1. Free to Use

• JASP is open-source and available for free download.
• Developed at the University of Amsterdam.

2. User-Friendly

• Combines the simplicity of SPSS with the power of R.
• Offers dynamic updating which shows results immediately.
• Low frustration levels due to ease of use.
• Suitable for teaching and learning statistics.

3. Flexibility

• Supports both traditional and Bayesian statistical analyses.
• Can open files from Excel (CSV), SPSS, and Open Science Framework.
• Cross-platform compatibility (Mac OS X, Windows, Linux).

4. Functional

• Uses R architecture for reliable results.
• Handles a range of analyses:
  • Descriptive statistics and frequencies
  • T-tests (3 types)
  • One-way and repeated measures ANOVA (and Bayesian alternatives)
  • Correlation and regression
  • Nonparametric analyses
  • Advanced statistics like factor analysis
  • Modules for structural equation modeling and social network analysis.
• Calculates effect sizes (e.g., Cohen's d) which SPSS does not.
• Generates APA-formatted figures and tables for easy integration into papers.

Training Videos Overview

1. For Statistics Students: Introduction to JASP and performing necessary tests for introductory courses.
2. For Statistics Instructors: Permission to link training videos for educational use; feedback encouraged.
3. Transitioning from SPSS to JASP: Comparisons between the two software options.

Course Structure

• This is an introduction aimed at absolute beginners.
• Assumption of familiarity with your computer system (Mac, PC, or Linux).
• Installation of JASP is required before starting.
• Check the JASP website for downloads and resources.

JASP Name Origin

• JASP humorously interpreted as "Just Another Statistics Program."
• Officially named "Jeffrey's Amazing Statistics Program" after Sir Harold Jeffries, a notable Bayesian statistician.

Next Steps

• Join the next video to explore the JASP workspace.