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Equality of access has been an issue for computer-based testing since its earliest days and has become more important with the advent of internetbased testing Yet, one has to wonder whether it was ever really a problem The assumption has been that those who can afford their own access will be at an advantage, but it is usually only low stakes testing which is readily available on the internet As soon as the stakes are higher, controls need to be put in place that constrain access The highest stakes testing nearly always requires supervision in test administration centres, so offering no access advantage to those with their own equipment The situation described by Melnick and Clauser for the USMLE tests seems fairly typical, with tests being offered at dedicated, secure testing sites either continuously or during discrete testing windows This requirement for control tends to be even more apparent for computer-based simulations, which, as well as supervised administration, also often need special equipment Access can affect participation in less direct ways, however There are many examples of tests available on the internet, even if they are of variable quality Many test publishers provide practice tests on their web sites Therefore, individuals with ready access to the internet will have many more opportunities to practice a variety of test types On the other hand, there are not many, if any, practice simulations available on the internet, so there is no direct advantage there Perhaps the greatest advantage will come in the reduction of anxiety, which Melnick and Clauser note seems to become apparent whenever new computer-based testing programmes are introduced These arguments do not extend to all aspects of selection and recruitment For example, many companies and recruitment agencies now require applicants to apply using electronic forms or to email CVs via the internet If this is the main or only way of attracting applicants, it is likely that it may be a biased sample of candidates who make it through to subsequent selection stages Indirect discrimination is a more serious issue Experienced users of computers are likely to be at an advantage, particularly with simulations that can make signi cant emands on skills such as screen navigation, cursor movement, use of graphical interfaces and the like More importantly, there are known to be signi cant differences between groups in their ability to handle and process material on screen For example, it is well known that females are more likely than males to suffer from pseudomotion sickness, sometimes called cyber-sickness, particularly where motion is simulated using visual cues that are not supported by full-motion simulation (Kass, Ahlers, & Dugger, 1998; Kennedy and Fowlkes, 1992) Likewise, people who are not good at the mental manipulation of representations of three dimensional objects in two dimensions can have problems coping with screen-based simulations Often their ability to estimate distances and directions is markedly affected When such problems are recognised, the proposed solutions are often ad hoc and only partially successful One train operating company in the United Kingdom that identi ed the pseudo-motion sickness problem found that some.



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20 The correlated patterns revealed in large data sets by these techniques can determine the structural relationships among screening hits and can signi cantly reduce data dimensionality to make the database ore manageable Methods of pattern recognition include principal components analysis (PCA), hierarchical cluster analysis (HCA), soft independent modeling of class analogies (SIMCA), and neural networks, among some others75,76 Multivariate calibration methods offer several advantages over univariate calibration methods77,78 Signal averaging is achieved, since more than one measurement channel is employed in the analysis Also concentrations of multiple species may be measured if they are present in the calibration samples A calibration model is built by using responses from calibration standards The analysis of unknown samples will suffer if a species is present in the sample that is not accounted for in the calibration model.

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This is mitigated somewhat by the ability to detect whether a sample is an outlier from the calibration set Multivariate calibration approaches permit selective quantitation of several analytes of interest in complex combinatorial libraries using low-resolution instruments when overlapping responses from different species preclude the use of univariate analysis Quantitative Recognizing Barcode In NET Using Barcode scanner for Multivariate measurement and data analysis tools has been hown to be an essential analytical tool for the monitoring of solid phase organic synthesis and other types of reactions In particular, the attractiveness of PLS method has been demonstrated for in situ monitoring of combinatorial reactions using single-bead FTIR spectroscopy27 Using these tools, quantitative and qualitative analyses of combinatorial samples were performed with IR spectra containing severely overlapped bands This analysis was possible because the primary loading factor in PLS analysis displays only spectral features that have undergone changes during a reaction.

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Disappearing and emerging organic functional groups generate negative and positive signals in the primary loading factor, allowing enhanced qualitative analysis of the reaction The scores of the primary factors of spectra taken at various times during a reaction provide quantitative information and allowed the study of the reaction kinetics directly on solid support A limitation of PLS method is that while it does reveal the changes due to reaction, it cannot provide spectra for pure component27 This limitation can be overcome by using other multivariate analysis tools such as evolving factor analysis79,80 and multivariate curve resolution methods81,82 Section 54 demonstrates the use of these multivariate toolsRelated: NET Intelligent Mail Generator.

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