mellenbergh.test: Mellenbergh & van den Brink (1998) test for pre-post...
In psycho: Efficient and Publishing-Oriented Workflow for Psychological Science

Description Usage Arguments Value Author(s) Examples

Test for comparing post-test to baseline for a single participant.

1	mellenbergh.test(t0, t1, controls)

`t0`	Single value (pretest or baseline score).
`t1`	Single value (posttest score).
`controls`	Vector of scores of the control group OR single value corresponding to the control SD of the score.

Returns a data frame containing the z-value and p-value. If significant, the difference between pre and post tests is significant.

Dominique Makowski

library(psycho)

mellenbergh.test(t0 = 4, t1 = 12, controls = c(0, -2, 5, 2, 1, 3, -4, -2))
mellenbergh.test(t0 = 8, t1 = 2, controls = 2.6)

Note: Many functions of the 'psycho' package have been (improved and) moved to other packages of the new 'easystats' collection (https://github.com/easystats). If you don't find where a function is gone, please open an issue at: https://github.com/easystats/easystats/issues
The Mellenbergh & van den Brink (1998) test suggests that the change is not significant (d = 8.00, 90% CI [1.06, 14.94], z = 1.90, p p = 0.057). However, the null hypothesis of no change can be rejected at a one-tailed 5% significance level (one-tailed p p = 0.029).
The Mellenbergh & van den Brink (1998) test suggests that the change is not significant (d = -6.00, 90% CI [-12.07, 0.07], z = -1.63, p p = 0.103).