PEM - desired values below the reference line

Description

Percentage of Data Exceeding the Median (PEM). The PEM procedure offers a method to assess effect size and adjust for the influence of outliers in the baseline phase when desired values are below the reference line.

Usage

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PEMbelow(behavior, phaseX, v1, v2)

Arguments

behavior

behavior variable

phaseX

phase variable

v1

irst phase variable (e.g., "A")

v2

second phase variable (e.g., "B")

Author(s)

Charles Auerbach, PhD & Wendy Zeitlin, PhD; Yeshiva University, Wurzweiler School of Social Work

References

Lenz, A.S. (2012). Calculating effect size in single-case research: A comparison of nonoverlap methods. Measurement and Evaluation in Counseling and Development, 46(1), 64-73.

Ma, H-H. (2009). The effectiveness of intervention on the behavior of individuals with autism: A meta-analysis using percentage of data points exceeding the median of baseline phase. Behavior Modification, 33(3), 339-359.

Go to www.ssdanalysis.com for more information.

Examples

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cry<-c(3, 4, 2, 5, 3, 4, NA, 2, 2, 3, 2, 1, 2, NA, 2, 2, 1, 2, 1, 0, 0, 0)
pcry<-c("A", "A", "A", "A", "A", "A", NA, "B", "B", "B", "B", "B", "B",
NA, "B1", "B1", "B1", "B1", "B1", "B1", "B1", "B1")
PEMbelow(cry,pcry,"A","B")

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