Software for Digital Scholarship

Resources from Jamovi

• Jamovi Blog
• User Manual
• Side-by-Side Comparison of Analyses with SPSS
• Data Management Features
  • Transforming and recoding variables in jamovi
  • Computed variables in jamovi
  • Introducing filters in jamovi

Jamovi Modules

Modules add functionality to Jamovi (how to add modules)

• GAMLj - General Analyses for Linear Models (Official) – Marcello Gallucci
  • See also Introducing GAMLj: GLM, LME and GZLMs in jamovi
• Statkat – find the right statistical technique for your data and research question
  • Statkat's Statistical Method Selection Tool 
• medmod – mediation and moderation in jamovi and R
• ​Rj Editor – Analyse your data with R in jamovi

More Resources

Jamovi maintains links to additional resources at Community Resources

Video Series

• jamovi from datalab.cc (also through YouTube)
  • Over 4hrs of content with a detailed Table of Contents for navigation and datafiles
• How do I... in Jamovi (Alexander Swann)
  • Over 3hrs of video on both data management and analysis.
• Jamovi (Ross Avilla)
  • Over 4hrs of videos for an introductory data analysis class focusing on various analyses.

OER Textbook

• Learning Statistics with Jamovi: A tutorial for psychology students and other beginners 
  • ​by Dani Navarro and David Foxcroft

Other Useful Resources

• Basic Statistical Methods for Social Science Sourcebook: jamovi
  • by Craig A. Wendorf
  • Instructions and Annotated output for common tests
• Jamovi Tutorials by Tyson Barrett
  • Narrative with screenshots for Linear and Logistic Regression and Chi-Square

Part of the reason I think Jamovi is great for many people is the simplicity of it's interface coupled with the ability to do even advanced analyses and graphing. Most of what is left out is unnecessary, but if you are interested in switching, here is a list of things that it cannot do.

How does Jamovi compare to other Statistical Software:

Items that are crossed out indicate features that have been added in recent versions. 

• Import/Export: Cannot import .xls formats, data export is only csv or direct to R  
• Merge/Restructure: Cannot merge, append, transpose, aggregate, or reshape
• Weighting: No support for weighting, except for a few individual analyses
• Data Formats: No built-in support for dates or date/times, or variable-level precision
• Saving Values: Cannot save residuals Only some analyses allow for saving of case-level values
• Formulas: Missing many useful non-statistical functions like count, rank, and string manipulation
• Graphing: Typically done through analyses with fewer options, but several nice-looking schemes 
• Analysis: No partial correlation, SEM, classification/clustering, or explicit time series support
• Options: Has the most common post-hoc tests and options, lacks some less common ones
• Exploration: Not as good with huge files, no data-looking features or find-replace
• Interface: No interface customization or re-organization

How does Jamovi compare to SPSS?

Jamovi does the vast majority of what SPSS does. It also does many things SPSS does not.

But, to be complete, in addition to the limitations described above:

(See also jamovi's comparison of analyses)

Missing Analyses:

• No partial correlations. 
• No Classify, Forecasting, Simulation, Spatial and Temporal Modeling, 
• No case summaries, ratio statistics, or tests from summary data. 
• No SEM, Distances, Multi-dimensional Scaling, or Weight and Curve Estimation.  

Missing Time-Saving Tools

• No Multiple Response Sets/Analyses, Reports, or much of what is implemented in Python. 
• No Missing Value Analysis, Split files, automatic recode, visual binning, or comparing datasets.

Offered differently or less completely:

• Overall fewer regression options, but does support mixed models and all base R generalized linear models.
• Only offers commonly used post-hoc tests, heteroskedasticity tests, extraction methods, etc. 
• Survival Analysis is very differently organized and has fewer options.