Achievement Testing: Recent Advances (Quantitative by Isaac I. Bejar

By Isaac I. Bejar

A e-book which summarizes the various fresh advances within the concept and perform of feat checking out, within the gentle of technological advancements, and advancements in psychometric and mental conception. It presents an advent to the 2 significant psychometric versions, merchandise reaction thought and generalizability thought, and assesses their strengths for various functions. The booklet closes with a few speculations concerning the way forward for success checks for the review of people, in addition to tracking of academic development. `...the booklet includes helpful details for either newcomers and for complicated staff who wish an summary of modern paintings in success testing.' -- The magazine of the yank Statistical A

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Additional resources for Achievement Testing: Recent Advances (Quantitative Applications in the Social Sciences)

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Bejar (forthcoming b and c) has speculated that, through techiques used in artificial intelligence, it may be possible to tease out the factors that account for the psychometric characteristics of items. This knowledge can be used, in turn, to synthesize items of known psychometric characteristics. Such research is not likely to yield concrete outcomes in the near future. In the meantime, generating items through the conventional procedure is a viable alternative. The problem pointed out by Bormuth and others may be viewed as sources of measurement errors.

Implicit in this distinction is that criterion-referenced tests are measures of achievement that are informative in their own right. However, regressed estimatesincluding Bayesian estimatesbecause they utilize collateral and prior information in the form of distributional parameters of the population to which the individual is thought to belong, are far from normless. While the obtained estimate is not related to the distributions of scores, as in norm-referenced tests, the distribution of scores actually determines to some extent the magnitude of the score.

We fully intend to publish additional manuscripts covering other aspects of psychological and educational testing. This paper is also a departure in that it is a review of recent developments rather than a technical presentation designed to be a sort of primer or introduction to some aspect of quantitative methodology. Dr. Bejar uses very few equations in his presentation. Rather, he provides an overview of many different aspects of achievement testing and tries to bring the reader up to date in the field.

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