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README
aberrance
The aberrance package contains a collection of functions for detecting several types of aberrant behavior, including:
- Answer copying, using statistics such as the \(\omega\) statistic (Wollack, 1997).
- Answer similarity, using statistics such as the \(GBT\) statistic (van der Linden & Sotaridona, 2006) and the \(M4\) statistic (Maynes, 2014).
- Nonparametric misfit, using statistics such as the \(ZU3\) statistic (van der Flier, 1982) and the \(H^T\) statistic (Sijtsma, 1986).
- Parametric misfit, using statistics such as the standardized log-likelihood statistic (Drasgow et al., 1985) and its various corrections (Bedrick, 1997; Gorney et al., 2024; Molenaar & Hoijtink, 1990; Snijders, 2001).
- Preknowledge, using statistics such as the signed likelihood ratio test statistic (Sinharay, 2017).
- Rapid guessing, using methods such as the custom threshold method (Wise et al., 2004; Wise & Kong, 2005), the normative threshold method (Wise & Ma, 2012), and the cumulative proportion correct method (Guo et al., 2016).
- Test tampering, using statistics such as the erasure detection index (Wollack et al., 2015; Wollack & Eckerly, 2017) and its corrected versions (Sinharay, 2018).
Installation
Install the released version from CRAN:
install.packages("aberrance")
Alternatively, install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("kyliegorney/aberrance")
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