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).
Install the released version from CRAN:
install.packages("aberrance")Alternatively, install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("kyliegorney/aberrance")