Item Response Models for Examinee‐Selected Items

In some tests, examinees are required to choose a fixed number of items from a set of given items to answer. This practice creates a challenge to standard item response models, because more capable examinees may have an advantage by making wiser choices. In this study, we developed a new class of item response models to account for the choice effect of examinee‐selected items. The results of a series of simulation studies showed: (1) that the parameters of the new models were recovered well, (2) the parameter estimates were almost unbiased when the new models were fit to data that were simulated from standard item response models, (3) failing to consider the choice effect yielded shrunken parameter estimates for examinee‐selected items, and (4) even when the missingness mechanism in examinee‐selected items did not follow the item response functions specified in the new models, the new models still yielded a better fit than did standard item response models. An empirical example of a college entrance examination supported the use of the new models: in general, the higher the examinee's ability, the better his or her choice of items.     

Large amplitude free vibration of a flexible panel coupled with a leaking cavity

This paper addresses the effect of leakage on the natural frequencies of a large amplitude vibrating panel backed by a cavity, which has not been considered in many other related studies. The structural-acoustic governing equations are employed to study this nonlinear problem. An elliptical integral method, which was recently developed for the nonlinear panel cavity problem, is introduced here to solve for the structural-acoustics responses. The present results agree reasonably well with those obtained from the classical harmonic balance method. Modal convergences of the nonlinear solutions are performed to verify the proposed method. The effects of vibration amplitude and leakage size are studied and discussed. It is found that (1) the edge leakages in a panel cavity system significantly affect the natural frequency properties, and (2) the edge leakages induce a low frequency acoustic resonance.     

Education hubs and talent development: policymaking and implementation challenges

The discourse on the internationalization of higher education emphasizes revenue generation while neglecting other diverse rationales pursued by governments and institutions. For countries that are seeking to venture into a knowledge economy or accrue greater competitive advantages under globalization, many policymakers view cross-border higher education as a platform for developing human talent. In this pursuit, education hubs stand out as large-scale initiatives supported by extensive planning and investment. By comparing the developments of Malaysia, Singapore, and Hong Kong as education hubs, three distinct objectives are apparent: to develop local talent, to attract foreign talent, and to repatriate diasporic talent. Despite the attention directed at the recruitment of international students, developing local talent remains a fundamental goal among education hubs. Talent development includes manpower planning as well as more inclusive provisions that support the diverse interests among local students. On the other hand, education hubs do not share the goals of attracting foreign and repatriating diasporic talent. Contextual factors such as distinct political economies and ethnic sensitivities mediate the recruitment of external talent. Comparing the policy rhetoric of talent development against the realities of implementation reveals sharp misalignment in some cases. More importantly, the political inertia in Singapore and Hong Kong exerts a gravitational pull that is increasingly turning sentiments against some foreign talent.     

Estimating Classification Consistency and Accuracy for Cognitive Diagnostic Assessment

This article introduces procedures for the computation and asymptotic statistical inference for classification consistency and accuracy indices specifically designed for cognitive diagnostic assessments. The new classification indices can be used as important indicators of the reliability and validity of classification results produced by cognitive diagnostic assessments. For tests with known or previously calibrated item parameters, the sampling distributions of the two new indices are shown to be asymptotically normal. To illustrate the computations of the new indices, we apply them to the real diagnostic data from a fraction subtraction test (Tatsuoka). We also use simulated data to evaluate their performances and distributional properties.