normcomp: Normative comparison tests for evaluating clinical...

In cribbie/equivalencetests: Equivalence Tests

Description

The following function conducts normative comparison tests for evaluating clinical significance, using both the Cribbie and Arpin-Cribbie (2009) and Kendall et al. (1999) methods. Normative comparison tests compare a treated sample to a normal comparison sample to determine if they are statistically equivalent.

Usage

normcomp(premean, presd, pren, postmean, postsd, postn, normmean, normsd, normn,
  alpha = 0.05, ...)

## S3 method for class 'normcomp'
print(x, ...)

Arguments

premean	pretest mean
presd	pretest standard deviation
pren	pretest sample size
postmean	posttest mean
postsd	post test standard deviation
postn	post test sample size
normmean	normal comparison mean
normsd	normal comparison standard deviation
normn	normal comparison sample size
alpha	desired alpha level
...	additional arguments to be passed
x	object of class normcomp

Author(s)

Rob Cribbie [e-mail] and Phil Chalmers [e-mail]

References

Cribbie, R. A. & Arpin-Cribbie, C. A. (2009). Evaluating clinical significance through equivalence testing: Extending the normative comparisons approach. Psychotherapy Research, 19, 677-686.

Kendall, P. C., Marrs-Garcia, A., Nath, S. R., & Sheldrick, R. C. (1999). Normative comparisons for the evaluation of clinical significance. Journal of Consulting and Clinical Psychology, 67, 285-299.

Examples

## Not run: 
# In this example the pretest mean was 12, pretest sd was 4, pretest sample size was 100, 
# posttest mean was 8, posttest sd was 5, posttest sample size was 95, normal comparison 
# mean was 7, normal comparison sd was 3, normal comparison sample size was 500. 
# The desired alpha level is .05, which is the default, so no alpha level is specified
normcomp(12,4,100,8,5,95,7,3,500)

## End(Not run)

cribbie/equivalencetests documentation built on May 14, 2019, 11:33 a.m.