Updated 11/9/2020
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What about cryptographic signing and error messages when you try to install free statistical software for Macs? See our “signing page.” ... and does this work on Mojave? Is it signed and 64-bit?
Meet the free SPSS clones
G.Power; SUDAAN; Sample Power; RESOURCES. Annotated Output; Data Analysis Examples; Frequently Asked Questions; Seminars; Textbook Examples; Which Statistical Test? Remote Consulting; Books for Loan; Services and Policies. Walk-In Consulting; Email Consulting; Fee for Service; FAQ; Software Purchasing and Updating; Consultants for. Download G.Power - Conduct statistical power analysis and calculate probabilities as well as some more test cases with the help of this powerful application. R Project (Free) R Project is an amazingly powerful but free tool for statisticians and researchers.
Computes statistical power analyses for a number of various tests, including F tests, χ2 tests and z tests. Computes effect sizes and shows graphics of the results of power analyses. Supports two input mode: distribution-based and design-based. Offers five various types of power analyses. G.Power is a statistical power analysis program. G.Power is a statistical power analysis program. It is a major extension of, and improvement over, the previous version, covering many different statistical tests of the F, t, chi-square, and z test families as well as some exact tests.
I have taught statistics using JASP, Jamovi, and PSPP. Each has advantages and disadvantages, and there is nothing stopping you from using all three depending on what you are trying to do. Ironically, each one has a much faster user interface than SPSS—and all import and export SPSS .sav and syntax files.
JASP is a fork of (it was originally based on) Jamovi; both are still under active development, which have fairly similar user interfaces, and both saved a good deal of time and trouble by not reinventing the wheel—they are essentially user interfaces for another statistics program, the hard-to-learn-and-use R.
JASP | Jamovi | PSPP | |
Regression | Stepwise, forward, backward | Enter (supports multi-step) | Enter (one step) |
Missing values | Program-wide only | By variable | By variable |
Statistics engine | R | R | PSPP |
Signed | Yes | Yes! | No |
M1 native | Build from source | Build from source | Build from source |
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The programs have spreadsheet-like data editors, but it's best to prepare information for them somewhere else; they let you computer variables, but in a clunky and hard to use way. Importing variable labels and missing values from SPSS files sometimes fails (I've only seen the missing values problem on Windows), a major drawback to programs that will read SPSS files otherwise.
JASP and Jamovi | PSPP | |
---|---|---|
t-tests | Shared variance only | Shared and unique variance |
Cost | Free | Free |
Output | Copies as tables | Copies as plain text |
More modules? | Yes | No |
Windows | One triple-pane window | Three windows |
Syntax | No | Yes, SPSS |
Contextual help | Yes, nicely integrated | No |
Can log commands to a file | Yes (can’t easily replay) | In theory/not working |
Mac open/save/print boxes | No | No |
Can use as SPV file viewer | Yes |
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JASP and Jamovi share lightning-fast speed; a wide range of statistics, with extra plugins on Jamovi; and easy installation on Macs, Windows, and Linux. Their basic interface has an Office 365-style open/save/print/export tab; options on the left, output on the right layout; instant changes to the output if you change the input; and export of both data and output, as desired.
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There’s a third SPSS clone, one which keeps most of the user interface from a relatively ancient version of SPSS: PSPP. At the moment there are some nasty bugs, but overall it might be easier for many people to use than JASP and Jamovi. It's easier to master if you're used to SPSS, but development has been very slow and JASP and Jamovi may be better options for that reason—unless you do a lot of computes and recodes and other data manipulation, or do a lot of t-tests. Then PSPP is the best choice.