Based on the work of Julian C. Stanley and his model for working with gifted youth, this volume brings together a group of authorities to examine the dominant techniques used to educate gifted youth today and the exemplification of those techniques in various university-based programmes across the country. From a review of research on individual differences and its relevance to intellectual talent, to descriptions of the current knowledge about gifted children, this book illustrates how our educational system can enhance gifted youths' academic achievement. Part one examines the political ramifications of emotionally loaded findings about individual differences - documenting cases in which findings that contradict prevailing social values are simply ignored. Part two explores what is known about educating gifted children and why educators sometimes fail to act on that knowledge. Topics include: genetic antecedents to human behaviour; the underuse of knowledge; proper provisions for gifted students; the use of knowledge; psychometrics and genius. The book should be of interest to professionals and students of education and psychology, educational researchers and policymakers, and parents of gifted children.

Guessing and Dimensionality: The Search for a Unidimensional Latent Space.

Intellectual talent: Psychometric and social issues.

The assumption of unidimensionality must be met to legitimately use common item response theory models. The validity of score-based inferences rests largely on the extent to which it can be shown that the dimensional structure underlying a test is consistent with the blueprint. Little research has been undertaken to examine the behavior of dimensionality assessment procedures in conditions similar to those encountered in small-volume administrations. The purpose of this study was to examine empirical. Type I error rates and rejections rates for 3-dimensionality assessment procedures with data sets simulated to reflect short tests and small samples. The TESTFACT (Wilson, Wood, & Gibbons, 1991) G2; difference test and the LISREL8 (Joreskog & Sorbom, 1993a) chi-square statistic suffered from an inflated Type I error rate with unidimensional data sets, whereas the approximate chi-square statistic based on a NOHARM (Fraser & McDonald, 1988) analysis did not. Rejection rates with simulated 2-dimensional data se...

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Assessing the Dimensionality of Item Response Matrices with Small Sample Sizes and Short Test Lengths

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Guessing and Dimensionality: The Search for a Unidimensional Latent Space.

Citations

Intellectual talent: Psychometric and social issues.

Assessing the Dimensionality of Item Response Matrices with Small Sample Sizes and Short Test Lengths

Related Papers (5)

Removing the Effects of Random Guessing from Latent Trait Ability Estimates. Research Bulletin No. 74-32.

Examining the Effects of Multidimensional Data on Ability and Item Parameter Estimation Using the Three-Parameter Logistic Model.

Application of Unidimensional Item Response Theory Models to Multidimensional Data

Unidimensional Approximations for a Computerized Test When the Item Pool and Latent Space are Multidimensional

Joint assessment of the latent trait dimensionality and observed differential item functioning of students’ national tests