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Kuder, Frederic; Diamond, Esther E.; Zytowski, Donald G. – Educational and Psychological Measurement, 1998
Predictive validity, generally taken to be the prime validity that occupationally normed interest inventories should demonstrate, is dependent on the capacity of an instrument to differentiate between occupations. A comparison of two methods of differentiation shows that a method using proportions of each occupational group to assign item-scoring…
Descriptors: Interest Inventories, Occupational Tests, Predictive Measurement, Predictive Validity
Kirisci, Levent; Hsu, Tse-Chi – 1988
The predictive analysis approach to adaptive testing originated in the idea of statistical predictive analysis suggested by J. Aitchison and I.R. Dunsmore (1975). The adaptive testing model proposed is based on parameter-free predictive distribution. Aitchison and Dunsmore define statistical prediction analysis as the use of data obtained from an…
Descriptors: Adaptive Testing, Bayesian Statistics, Comparative Analysis, Item Analysis
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DeMauro, G. – Language Testing, 1992
Several analyses are presented on the relationships among the Test of Spoken English, Test of Written English, and Test of English as a Foreign Language. The multivariate prediction of each test from the scores on the others is very accurate; variances with two prominent factors may relate to specific cognitive test-taking skills. (eight…
Descriptors: Comparative Analysis, Language Research, Language Skills, Language Tests
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Wolf, Fredric M.; And Others – 1983
The predictive and incremental validity of the New Medical College Admission Test (New MCAT) Science Problems Subtest was examined with a sample of over 165 medical students. Criterion measures were National Board of Medical Examiners (NBME) Part I (basic science) and Part II (clinical science) performance. The Science Problems subscore is derived…
Descriptors: College Entrance Examinations, Competitive Selection, Higher Education, Medical Students
Perkins, Kyle; And Others – 1994
This paper reports the results of using a three-layer backpropagation artificial neural network to predict item difficulty in a reading comprehension test. Two network structures were developed, one with and one without a sigmoid function in the output processing unit. The data set, which consisted of a table of coded test items and corresponding…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Expert Systems, Item Analysis
Sorensen, Philip H.; Pennell, Roger – 1982
This report was written to provide guidance in the development and evaluation of alternative instructional approaches that hold promise of improving instructional effectiveness. The main focus of the report is on how to identify and test interactive relationships between individual differences among learners and instructional conditions or…
Descriptors: Adults, Computer Managed Instruction, Criterion Referenced Tests, Evaluation Methods
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring
Weltin, Mary M.; Popelka, Beverly A. – 1983
The composite of Armed Services Vocational Aptitude Battery (ASVAB) subtests used to select applicants for entry-level training in Army clerical schools was evaluated by correlating composite scores with training performance scores. Comparisons were made between the multiple R for this optimal set of predictors and that for the composite of…
Descriptors: Achievement, Aptitude Tests, Armed Forces, Clerical Occupations