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Erfani, Shiva Seyed – English Language Teaching, 2012
One consequence of test use in the English-language teaching community is the negative washback of tests on teaching and learning. Test preparation courses are often seen as part of the more general issue of washback. IELTS and TOEFL iBT tests, focusing on communicative competence, are anticipated to have positive washback effect on how English is…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Testing Problems
Peer reviewedPowers, Stephen; Crowder, Christopher – Educational and Psychological Measurement, 1982
The factorial structure of the California Achievement Test subtests appears to consist of only one common factor in each grade. This study indicates that there is considerable overlap among the subtests and that there is minimal support for the use of subtest scores as measures of independent constructs. (Author/PN)
Descriptors: Achievement Tests, Elementary Education, Factor Analysis, Factor Structure
Peer reviewedCarroll, John B. – Intelligence, 1995
It is argued that the statements and accusations made by Stephen Jay Gould about the use of factor analysis are incorrect and unjustified and that tests properly designed for the purpose can adequately measure a "general" or "g" factor of intelligence, particularly in view of the developments in testing since "The…
Descriptors: Factor Analysis, Intelligence Tests, Measurement Techniques, Nature Nurture Controversy
Merz, William R. – 1980
Several methods of assessing test item bias are described, and the concept of fair use of tests is examined. A test item is biased if individuals of equal ability have different probabilities of attaining the item correct. The following seven general procedures used to examine test items for bias are summarized and discussed: (1) analysis of…
Descriptors: Comparative Analysis, Evaluation Methods, Factor Analysis, Mathematical Models
Peer reviewedSiegel, Linda S. – Alberta Journal of Educational Research, 1995
Responds to "The Bell Curve" by arguing that IQ is merely a statistical fiction, an artificial construct not corresponding to any real entity. Discusses the "seductive statistical trap of factor analysis" as it relates to IQ tests, multiple intelligences, content and bias of IQ tests, lack of validity of IQ tests for individual…
Descriptors: Educational Diagnosis, Factor Analysis, Individual Differences, Intelligence


