Walker A Adrienne, Engelhard George, Hedgpeth Mari-Wells, Royal Kenneth D
A. Adrienne Walker, Division of Educational Studies, Emory University, North Decatur Building, Suite 240, Atlanta, GA 30322, USA,
J Appl Meas. 2016;17(2):194-208.
Person fit statistics provide equivocal interpretations regarding aberrant responses. This study uses person response functions (PRF) to supplement the interpretation of person fit statistics. Sixty-three multiple-choice items were administered to a sample of persons (N=31) who used guessing strategies to answer them. After answering each item, participants indicated which guessing strategy they used. The data were analyzed with a Rasch (1960) model, where the item calibrations were anchored to values obtained when the items were appropriately administered. The participants showed poor model-data fit as expected. Further examination of person misfit using person response functions suggests that PRF can provide information about absolute person fit to a model, whereas fit statistics provide information about relative fit, given the other persons in the testing group. PRF can also provide information about where and how person responses misfit the model. This additional information can assist practitioners in using and interpreting individual scores appropriately.
个体拟合统计对于异常反应的解释并不明确。本研究使用个体反应函数(PRF)来补充个体拟合统计的解释。对31名采用猜测策略回答问题的人员样本施测了63道多项选择题。在回答每道题后,参与者表明他们使用的猜测策略。数据采用Rasch(1960)模型进行分析,其中项目校准以项目正确施测时获得的值为锚定。正如预期的那样,参与者表现出较差的模型-数据拟合。使用个体反应函数对个体不拟合进行的进一步检查表明,PRF可以提供关于个体与模型绝对拟合的信息,而拟合统计则提供关于在测试组中的其他个体情况下相对拟合的信息。PRF还可以提供关于个体反应在何处以及如何与模型不拟合的信息。这些额外信息可以帮助从业者恰当地使用和解释个体分数。