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Selection Tests (selection + test)
Selected AbstractsA COMPARISON OF METHODS FOR MONITORING INDIVIDUAL PERFORMANCES IN TASTE SELECTION TESTSJOURNAL OF SENSORY STUDIES, Issue 4 2005AMALIA CALVIÑO ABSTRACT The evaluation of panel performance was made by three methods: average of correct responses (A), comparison of distances of individual standardized judgments to the average standardized responses (D) and a principal components analysis (PCA). Thirty assessors identified water and basic tastes and discriminated different sweet stimuli in neutral or acidified vehicles using R-index rating and ranking tests. By A and D methods 22 assessors were qualified as proficient. Composition of both panels was identical except for one judge. The output from PCA provided a graphical representation of the performance of the assessors and retained different subsets of 24,26 panelists for different proposals as discrimination of sweetness in acidified beverages, recognition of bitterness, sourness and discrimination of slight sweetness or evaluation of saltiness. [source] The Impact of Justice and Self-Serving Bias Explanations of the Perceived Fairness of Different Types of Selection TestsINTERNATIONAL JOURNAL OF SELECTION AND ASSESSMENT, Issue 1-2 2004N. Schmitt Reactions to the use of the ACT/SAT, biodata, and situational judgment measures in college admissions decisions were collected from 644 college freshmen. Evaluation of a series of models of fairness perceptions indicated that self-serving bias and organizational justice explanations may both be responsible for these reactions. Examination of respondents' beliefs about their performance compared with other students' performance also elicited responses that may be attributable to concerns about distributive justice. A variety of perceptual processes may explain fairness perceptions, but from a practical perspective, it may be easiest to manipulate examinees' perceptions of the relevance, and indirectly, the perceived fairness of the selection procedures used to make major selection or admissions decisions. [source] Improving robust model selection tests for dynamic modelsTHE ECONOMETRICS JOURNAL, Issue 2 2010Hwan-sik Choi Summary, We propose an improved model selection test for dynamic models using a new asymptotic approximation to the sampling distribution of a new test statistic. The model selection test is applicable to dynamic models with very general selection criteria and estimation methods. Since our test statistic does not assume the exact form of a true model, the test is essentially non-parametric once competing models are estimated. For the unknown serial correlation in data, we use a Heteroscedasticity/Autocorrelation-Consistent (HAC) variance estimator, and the sampling distribution of the test statistic is approximated by the fixed- b,asymptotic approximation. The asymptotic approximation depends on kernel functions and bandwidth parameters used in HAC estimators. We compare the finite sample performance of the new test with the bootstrap methods as well as with the standard normal approximations, and show that the fixed- b,asymptotics and the bootstrap methods are markedly superior to the standard normal approximation for a moderate sample size for time series data. An empirical application for foreign exchange rate forecasting models is presented, and the result shows the normal approximation to the distribution of the test statistic considered appears to overstate the data's ability to distinguish between two competing models. [source] Content Validation Is Useful for Many Things, but Validity Isn't One of ThemINDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY, Issue 4 2009KEVIN R. MURPHY Content-oriented validation strategies establish the validity of selection tests as predictors of performance by comparing the content of the tests with the content of the job. These comparisons turn out to have little if any bearing on the predictive validity of selection tests. There is little empirical support for the hypothesis that the match between job content and test content influences validity, and there are often structural factors in selection (e.g., positive correlations among selection tests) that strongly limit the possible influence of test content on validity. Comparisons between test content and job content have important implications for the acceptability of testing, the defensibility of tests in legal proceedings, and the transparency of test development and validation, but these comparisons have little if any bearing on validity. [source] Some Comments on Pareto Thinking, Test Validity, and Adverse Impact: When ,and' is optimal and ,or' is a trade-offINTERNATIONAL JOURNAL OF SELECTION AND ASSESSMENT, Issue 3 2008Denise Potosky De Corte, Lievens, and Sackett add to the literature on selection test validity and adverse impact (AI). Their Pareto-based weighting scheme essentially asks organizations if they are willing to give up some validity to hopefully achieve some reduction in AI. We considered their approach and conclusions in relation to the regression weighting method we used, and we offer five points that reflect our observations as well as our shared goals. We hope our comments, like their work in this field, will invigorate the pursuit of new ways of examining, and one day resolving, the persistent concern regarding the AI associated with valid selection tests. [source] Impact of Assessments of Validity Generalization and Situational Specificity on the Science and Practice of Personnel SelectionINTERNATIONAL JOURNAL OF SELECTION AND ASSESSMENT, Issue 4 2000Kevin R. Murphy The application of meta-analysis, in particular validity generalization (VG) analysis, to the cumulative literature on the validity of selection tests has fundamentally changed the science and practice of personnel selection. VG analyses suggest that the validities of standardized tests and other structured assessments are both higher and more consistent across jobs and organizations than was previously believed. As a result, selection researchers and practitioners can draw on the research literature to make reasonably accurate forecasts about the validity and usefulness of different tests in particular applications. Distinctions between tests of validity generalization and tests of situational specificity are described, and difficulties in demonstrating that validity is constant across the different settings where tests are used are outlined. [source] Psychological Reactions to Adaptive TestingINTERNATIONAL JOURNAL OF SELECTION AND ASSESSMENT, Issue 1 2000Scott Tonidanel The purpose of the study was to examine how specific aspects of adaptive testing influence test-takers pre-test reactions. Specifically, three different psychological reactions were examined in the study: perceived fairness of the test, attitude toward the test, and expectations about the test. Fifty-three undergraduates were presented with descriptions of hypothetical selection tests that were manipulated to reflect characteristics of adaptive tests that differ from traditional paper-and-pencil tests. The results indicate that certain features of adaptive tests, such as the inability to skip questions, may adversely impact test-takers' reactions. Implications for test designers are discussed. [source] Evaluation of 360 degree feedback ratings: relationships with each other and with performance and selection predictors,JOURNAL OF ORGANIZATIONAL BEHAVIOR, Issue 7 2001Terry A. Beehr Feedback from 360 degree ratings based on competency principles and used for developmental purposes was investigated for interrelationships among the ratings and for its relationships with performance and selection data. Relationships among: (1) feedback ratings from supervisors, peers, and self; (2) feedback ratings and selection test data; and (3) feedback ratings and performance appraisals on about 2000 employees of a Midwestern insurance company were examined. The 360 ratings by peers and managers were related to performance appraisals. All significant correlations of manager and peer ratings with selection tests were positive, but significant correlations of 360 degree self-ratings with selection tests were negative. Copyright © 2001 John Wiley & Sons, Ltd. [source] Large-scale specimen testing on friction and wear of pure and internally lubricated cast polyamidesLUBRICATION SCIENCE, Issue 3 2006Pieter SamynArticle first published online: 4 JUL 200 Abstract Due to the casting process for nylons, their composition can easily be modified to cover a wide range of mechanical properties and applications, especially as large wear surfaces in, for example, crane guidances. Presently, selection tests for working conditions up to 40MPa are presented on pure Na-catalysed polyamides, oil-filled polyamides with homogeneous oil dispersions and holes in the surface containing oil lubricant and two types of thermoplastic solid-lubricated polyamides. Pure polyamides are, however, prone to high and unstable sliding at pressures as low as 10MPa with brittle fracture and lumpy transfer. Oil lubrication is not able to remove the sliding instabilities as oil supply to the sliding interface is controlled by migration effects that are restricted by deformation and thermal softening or melting of the polyamide matrix. Although friction and wear are lower and more stable for samples with oil supplied through lubricating holes, additional running-in phenomena are attributed to a relatively thick transfer film that is brittle and easily peels off. A continuous thick molten film or island-like deposition occurs on the polyamide surface. Solid lubricants are able to stabilize friction and lower wear down to the formation of a thin and coherent transfer film. However, increasing the amount of lubricants induces lower mechanical properties and higher deformation of the test samples. The differences in transfer behaviour are discussed with reference to optical microscopy and calculations of bulk and flash temperatures. Copyright © 2006 John Wiley & Sons, Ltd. [source] Can Changes in Differential Dropout Rates Reduce Adverse Impact?PERSONNEL PSYCHOLOGY, Issue 4 2004A Computer Simulation Study of a Multi-wave Selection System A simulation was used to explore the effects of variations in the rate at which applicants drop out of selection processes on racial differences in selection outcomes. Archival data was used to simulate a realistic range of selection scenarios in which test score differences between groups and selection ratios varied. The basis for dropping out was manipulated in two separate studies. Study 1 simulated dropout decisions that occurred at random within racial subgroups; in this study, dropout rates of minority versus White candidates were varied. Study 2 examined dropout decisions that occurred as a function of test scores. Results from both studies showed that mean test score differences between White and minority applicants have the largest influence on adverse impact. Interventions designed to reduce the tendency of minority applicants to withdraw from selection are likely to have, at best, small effects on the adverse impact of selection tests. [source] Improving robust model selection tests for dynamic modelsTHE ECONOMETRICS JOURNAL, Issue 2 2010Hwan-sik Choi Summary, We propose an improved model selection test for dynamic models using a new asymptotic approximation to the sampling distribution of a new test statistic. The model selection test is applicable to dynamic models with very general selection criteria and estimation methods. Since our test statistic does not assume the exact form of a true model, the test is essentially non-parametric once competing models are estimated. For the unknown serial correlation in data, we use a Heteroscedasticity/Autocorrelation-Consistent (HAC) variance estimator, and the sampling distribution of the test statistic is approximated by the fixed- b,asymptotic approximation. The asymptotic approximation depends on kernel functions and bandwidth parameters used in HAC estimators. We compare the finite sample performance of the new test with the bootstrap methods as well as with the standard normal approximations, and show that the fixed- b,asymptotics and the bootstrap methods are markedly superior to the standard normal approximation for a moderate sample size for time series data. An empirical application for foreign exchange rate forecasting models is presented, and the result shows the normal approximation to the distribution of the test statistic considered appears to overstate the data's ability to distinguish between two competing models. [source] Model selection tests for nonlinear dynamic modelsTHE ECONOMETRICS JOURNAL, Issue 1 2002Douglas Rivers This paper generalizes Vuong (1989) asymptotically normal tests for model selection in several important directions. First, it allows for incompletely parametrized models such as econometric models defined by moment conditions. Second, it allows for a broad class of estimation methods that includes most estimators currently used in practice. Third, it considers model selection criteria other than the models' likelihoods such as the mean squared errors of prediction. Fourth, the proposed tests are applicable to possibly misspecified nonlinear dynamic models with weakly dependent heterogeneous data. Cases where the estimation methods optimize the model selection criteria are distinguished from cases where they do not. We also consider the estimation of the asymptotic variance of the difference between the competing models' selection criteria, which is necessary to our tests. Finally, we discuss conditions under which our tests are valid. It is seen that the competing models must be essentially nonnested. [source] Different Evolutionary Histories of the Coagulation Factor VII Gene in Human Populations?ANNALS OF HUMAN GENETICS, Issue 1 2010Georgios Athanasiadis Summary Immoderate blood clotting constitutes a risk factor for cardiovascular disease in modern industrialised societies, but is believed to have conferred a survival advantage, i.e. faster recovery from bleeding, on our ancestors. Here, we investigate the evolutionary history of the Coagulation Factor VII gene (F7) by analysing five cardiovascular-risk-associated mutations from the F7 promoter and nine neutral polymorphisms (six SNPs and three microsatellites) from the flanking region in 16 populations from the broader Mediterranean region, South Saharan Africa and Bolivia (687 individuals in total). Population differentiation and selection tests were performed and linkage disequilibrium patterns were investigated. In all samples, no linkage disequilibrium between adjacent F7 promoter mutations ,402 and ,401 was observed. No selection signals were detected in any of the samples from the broader Mediterranean region and South Saharan Africa, while some of the data suggested a potential signal of positive selection for the F7 promoter in the Native American samples from Bolivia. In conclusion, our data suggest, although do not prove, different evolutionary histories in the F7 promoter region between Mediterraneans and Amerindians. [source] | |||||||||||||