Reliable change index
CAUTION! This function is still under development and not ready for
use! The rciSC
function computes three indices of reliable change
(Wise, 2004) and corresponding descriptive statistics.
rci(data, dvar, pvar, rel, ci = 0.95, graph = FALSE, phases = c(1, 2)) rciSC(...) rCi(...)
data |
A single-case data frame. See |
dvar |
Character string with the name of the dependent variable. Defaults to the attributes in the scdf file. |
pvar |
Character string with the name of the phase variable. Defaults to the attributes in the scdf file. |
rel |
Reliability of the measure, used to compute the standard error. |
ci |
Width of confidence interval as a decimal. Default is |
graph |
If set |
phases |
A vector of two characters or numbers indicating the two
phases that should be compared. E.g., |
... |
Further arguments passed to the function. |
Juergen Wilbert
Christensen, L., & Mendoza, J. L. (1986). A method of assessing change in a single subject: An alteration of the RC index. Behavior Therapy, 17, 305-308.
Hageman, W. J. J., & Arrindell, W. A. (1993). A further refinement of the reliable change (RC) index by improving the pre-post difference score: Introducing RCID. Behaviour Research and Therapy, 31, 693-700.
Jacobson, N. S., & Truax, P. (1991). Clinical Significance: A statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology, 59, 12-19.
Wise, E. A. (2004). Methods for analyzing psychotherapy outcomes: A review of clinical significance, reliable change, and recommendations for future directions. Journal of Personality Assessment, 82, 50 - 59.
## Report the RCIs of the first case from the byHeart data and include a graph rci(byHeart2011[1], graph = TRUE, rel = 0.8)
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