PND: Percentage of non-overlapping data In SingleCaseES: A Calculator for Single-Case Effect Sizes

Description

Calculates the percentage of non-overlapping data index (Scruggs, Mastropieri, & Castro, 1987).

Usage

 ```1 2 3 4 5 6 7 8``` ```PND( A_data, B_data, condition, outcome, baseline_phase = unique(condition)[1], improvement = "increase" ) ```

Arguments

 `A_data` vector of numeric data for A phase. Missing values are dropped. `B_data` vector of numeric data for B phase. Missing values are dropped. `condition` vector identifying the treatment condition for each observation in the series. `outcome` vector of outcome data for the entire series. `baseline_phase` character string specifying which value of `condition` corresponds to the baseline phase. Defaults to first observed value of `condition`. `improvement` character string indicating direction of improvement. Default is "increase".

Details

For an outcome where increase is desirable, PND is calculated as the proportion of observations in the B phase that exceed the highest observation from the A phase. For an outcome where decrease is desirable, PND is the proportion of observations in the B phase that are less than the lowest observation from the A phase. The range of PND is [0,1].

Numeric value

References

Scruggs, T. E., Mastropieri, M. A., & Casto, G. (1987). The quantitative synthesis of single-subject research: Methodology and validation. Remedial and Special Education, 8(2), 24–43. doi:doi: 10.1177/074193258700800206

Examples

 ```1 2 3``` ```A <- c(20, 20, 26, 25, 22, 23) B <- c(28, 25, 24, 27, 30, 30, 29) PND(A_data = A, B_data = B) ```

SingleCaseES documentation built on Sept. 30, 2021, 5:09 p.m.