convert.d.to.nnc: Helper functions for Numbers Needed for Change

In userfriendlyscience: Quantitative Analysis Made Accessible

Description

These two functions are used by nnc to compute the Numbers Needed for Change.

Usage

convert.d.to.nnc(d, cer, r = 1,
                 eventDesirable = TRUE,
                 eventIfHigher = TRUE)
convert.d.to.eer(d, cer,
                 eventDesirable = TRUE,
                 eventIfHigher = TRUE)

Arguments

d	The value of Cohen's d.
cer	The Control Event Rate.
r	The correlation between the determinant and behavior (for mediated Numbers Needed for Change).
eventDesirable	Whether an event is desirable or undesirable.
eventIfHigher	Whether scores above or below the threshold are considered 'an event'.

Details

These two functions are used by nnc to compute the Numbers Needed for Change.

Value

The converted value.

Author(s)

Gjalt-Jorn Peters & Stefan Gruijters

Maintainer: Gjalt-Jorn Peters <[e-mail]>

References

Gruijters, S. L. K., & Peters, G.-J. Y. (2017). Introducing the Numbers Needed for Change (NNC): A practical measure of effect size for intervention research.

See Also

nnc

Examples

convert.d.to.eer(d=.5, cer=.25);
convert.d.to.nnc(d=.5, cer=.25);

userfriendlyscience documentation built on May 2, 2019, 1:09 p.m.