The closed-interval signed area (CSA) and closed-interval unsigned area (CUA) statistics were studied by monte carlo simulation to detect differential item functioning when the reference and focal groups had different parameter distributions. When the pseudo-guessing parameter
was varied, the CSA was better able to detectmoderate to large differences between the groups than the CUA. However, the effect of the pseudo-guessing parameter varied depending on item discriminations. Index terms: closed-interval measures, differential item functioning, item response theory, monte carlo simulation, signed area measures, unsigned area measures.
Feinstein, Zachary S. (1995). Effects of differing item parameters on closed-interval DIF statistics. Applied Psychological Measurement, 19, 131-142. doi:10.1177/014662169501900202
Feinstein, Zachary S..
Effects of differing item parameters on closed-interval DIF statistics.
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