between_smd | R Documentation |
Calculates a standardized mean difference from a multilevel model as described in Pustejovsky et al. (2014)
between_smd(data, ...)
## S3 method for class 'sc_bcsmd'
print(x, digits = 2, ...)
data |
Either an scdf or an object returned from the |
... |
When data is an scdf, further design parameters passed to the
|
x |
An object returned by |
digits |
The minimum number of significant digits to be use. If set to "auto" (default), values are predefined. |
print(sc_bcsmd)
: Print results
Pustejovsky, J. E., Hedges, L. V., & Shadish, W. R. (2014). Design-Comparable Effect Sizes in Multiple Baseline Designs: A General Modeling Framework. Journal of Educational and Behavioral Statistics, 39(5), 368–393. https://doi.org/10.3102/1076998614547577
des <- design(
n = 150,
phase_design = list(A = 10, B = 10, A2 = 10, B2 = 10, c = 10),
level = list(B = 1, A2 = 0, B2 = 1, c = 1)
)
study <- random_scdf(des)
between_smd(study)
model <- hplm(study, slope = FALSE, contrast_level = "preceding")
between_smd(model)
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