Arab Educational Information Network

This study aimed to assess the effectiveness of bootstrapping procedure in estimating lpz person-fit statistic cutoff score (denoted as lpz) to detect aberrant responses in non-cognitive scales. To achieve the aim of this study, a sample of 1000 students was selected from the third and fourth year undergraduate students at Yarmouk University (N= 15152) using multi-stage sample procedures. A questionnaire consisted of 62 Likert scale items designed to assess the quality of academic programs from student’s perspectives was used to collect the data. The datasets were analyzed utilizing graded response model of IRT. The results showed that lpz person-fit statistic distributions are not normally distributed and still have negative skewness and positive kurtosis. Moreover, the results showed that using cutoff scores calculated by bootstrapping procedures (lpz) to categorize responses to fit or misfit is preferred as lpz detected more aberrant responses when it is compared with z critical value at the same level of statistical significance. (Résumé publié)