userfriendlyscience (version 0.7.0)

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

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'.

Value

The converted value.

Details

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

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

# NOT RUN {
convert.d.to.eer(d=.5, cer=.25);
convert.d.to.nnc(d=.5, cer=.25);
# }

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