Section author: Rebecca Vederhus, Sebastian Jentschke
From SPSS to jamovi: Analysis of Covariance (ANCOVA)
This comparison shows how to test if the covariate is independent of the independent variable, as described in chapter 13.5.3 of Field (2017), especially output 13.3. It uses the data set Puppy Love Dummy.sav which can be downloaded from the web page accompanying the book.
SPSS |
jamovi |
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In SPSS you can run this test using |
In jamovi you do this using: |
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In SPSS, move |
In jamovi, move |
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When comparing the outputs in SPSS and jamovi, the results are exactly the same. The only difference is that jamovi does not provide a row with the total sum of squares and degrees of freedom. |
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In the |
In jamovi, these values are found in the equivalent table ( |
In both SPSS and in jamovi, the degrees of freedom can be found in the second, the F-value in the fourth, and the p-value in the fifth column. The numerical values are the same in both SPSS and jamovi: F*(2, 27) = 1.98, *p = 0.16. |
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If you wish to replicate those analyses using syntax, you can use the commands below (in jamovi, just copy to code below to Rj). Alternatively, you can download the SPSS output files and the jamovi files with the analyses from below the syntax. |
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ONEWAY Puppy_love BY Dose
/MISSING ANALYSIS.
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jmv::ancova(
formula = Puppy_love ~ Dose,
data = data)
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