this study aimed at investigating differential item functioning (dif) on the special english test of the iranian national university entrance exam (inuee). the effect of gender and subject area was taken into account. the study utilized one-parameter irt model with a sample of 36000 students who sat for the inuee special english test in 2004 and/or 2005. the findings confirmed the presence of d...

validation is an important enterprise especially when a test is a high stakes one. demographic variables like gender and field of study can affect test results and interpretations. differential item functioning (dif) is a way to make sure that a test does not favor one group of test takers over the others. this study investigated dif in terms of gender in the reading comprehension subtest (35 i...

Differential item functioning (DIF) occurs when an item on a test or questionnaire has different measurement properties for 1 group of people versus another, irrespective of mean differences on the construct. This study focuses on the use of multiple-indicator multiple-cause (MIMIC) structural equation models for DIF testing, parameterized as item response models. The accuracy of these methods,...

The validity of large-scale assessments may be compromised, partly due to their content inappropriateness or construct underrepresentation. Few validity studies have focused on such assessments within an argument-based framework. This study analyzed the domain description and evaluation inference of the Ph.D. Entrance Exam of ELT (PEEE) sat by Ph.D. examinees (n = 999) in 2014 in Iran....

This study aimed at examining the issues affecting the use of IRT models in investigating differential item functioning in high stakes testing. It specifically focused on the Iranian National University Entrance Exam (INUEE) Special English Subtest. A sample of 200,000 participants was randomly selected from the candidates taking part in the INUEE 2003 and 2004 respectively. The data collected ...

Item response theory (IRT) has a number of potential advantages over classical test theory in assessing self-reported health outcomes. IRT models yield invariant item and latent trait estimates (within a linear transformation), standard errors conditional on trait level, and trait estimates anchored to item content. IRT also facilitates evaluation of differential item functioning, inclusion of ...

Assessment of socially unacceptable behaviors and attitudes via self-report is likely to yield skewed data that may be vulnerable to measurement non-invariance. Item response theory (IRT) can help address these measurement challenges. This paper illustrates application of IRT to data from a teen dating violence intervention study. Three factors reflecting teens’ attitudes about dating violence ...

The  present  study  aimed  at  investigating  DIF  sources  on  an  EFL  reading  comprehension test.  Accordingly,  2  DIF  detection  methods,  logistic  regression  (LR)  and  item  response theory  (IRT),  were  used  to  flag  emergent  DIF  of  203  (110  females  &  93  males)  Iranian EFL examinees’ performance on a reading comprehension test. Seven hypothetical DIF sources were examin...

In this review, we examine studies that use item response theory (IRT) to explore the psychometric properties of clinical measures. Next, we consider how IRT has been used in clinical research for: scale linking, computerized adaptive testing, and differential item functioning analysis. Finally, we consider the scale properties of IRT trait scores. We conclude that there are notable differences...