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.
rciSC(data, rel = 0.8, ci = 0.95, graph = FALSE)A single-case data frame. See makeSCDF to learn about this format.
Reliability of the measure, used to compute the standard error. Default is rel = 0.8.
Width of confidence interval as a decimal. Default is ci = 0.95 applying a 95%-confidence interval.
If set TRUE, a box plot of phase A and B scores is displayed. graph = FALSE by default.
A list of three RCI calculations (Jacobson et al., Christenden et al., Hageman et al.).
Standardized difference between mean phase A and B scores.
A matrix containing the lower and upper confidence interval boundaries of phases A and B.
Numeric argument from function call (see ci in Arguments section).
Numeric argument from function call (see Arguments above).
A matrix containing descriptive statistics for phases A and B: n, mean, SD, SE.
Number of cases.
A vector of phase A scores.
A vector of phase B scores.
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.
# NOT RUN {
## Report the RCIs of the first case from the byHeart data and include a graph
rciSC(byHeart2011[1], graph = TRUE)
# }
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