International Test Commission guidelines for test adaptation: A criterion checklist.

Background: To improve the quality of test translation and adaptation, and hence the comparability of scores across cultures, the International Test Commission (ITC) proposed a number of guidelines for the adaptation process. Although these guidelines are well-known, they are not implemented as often as they should be. One possible reason for this is the broad scope of the guidelines, which makes them difficult to apply in practice.

Profiles of Mathematics Anxiety Among 15-Year-Old Students: A Cross-Cultural Study Using Multi-Group Latent Profile Analysis.

Using PISA 2012 data, the present study explored profiles of mathematics anxiety (MA) among 15-year old students from Finland, Korea, and the United States to determine the similarities and differences of MA across the three national samples by applying a multi-group latent profile analysis (LPA). The major findings were that (a) three MA profiles were found in all three national samples, i.e.

Detecting Item Preknowledge Using a Predictive Checking Method.

Repeatedly using items in high-stake testing programs provides a chance for test takers to have knowledge of particular items in advance of test administrations. A predictive checking method is proposed to detect whether a person uses preknowledge on repeatedly used items (i.e.

The Effect of Rating Unfamiliar Items on Angoff Passing Scores.

The Angoff standard setting method relies on content experts to review exam items and make judgments about the performance of the minimally proficient examinee. Unfortunately, at times content experts may have gaps in their understanding of specific exam content. These gaps are particularly likely to occur when the content domain is broad and/or highly technical, or when non-expert stakeholders are included in a standard setting panel (e.

Comparative Analyses of MIRT Models and Software (BMIRT and flexMIRT).

Application of MIRT modeling procedures is dependent on the quality of parameter estimates provided by the estimation software and techniques used. This study investigated model parameter recovery of two popular MIRT packages, BMIRT and flexMIRT, under some common measurement conditions. These packages were specifically selected to investigate the model parameter recovery of three item parameter estimation techniques, namely, Bock-Aitkin EM (BA-EM), Markov chain Monte Carlo (MCMC), and Metropolis-Hastings Robbins-Monro (MH-RM) algorithms.