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Ravesloot, C. J.; Van der Schaaf, M. F.; Muijtjens, A. M. M.; Haaring, C.; Kruitwagen, C. L. J. J.; Beek, F. J. A.; Bakker, J.; Van Schaik, J.P.J.; Ten Cate, Th. J. – Advances in Health Sciences Education, 2015
Formula scoring (FS) is the use of a don't know option (DKO) with subtraction of points for wrong answers. Its effect on construct validity and reliability of progress test scores, is subject of discussion. Choosing a DKO may not only be affected by knowledge level, but also by risk taking tendency, and may thus introduce construct-irrelevant…
Descriptors: Scoring Formulas, Tests, Scores, Construct Validity
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Rozeboom, William W. – Psychometrika, 1979
For idealized item configurations, equal item weights are often virtually as good for a particular predictive purpose as the item weights that are theoretically optimal. What has not been clear, however, is what happens to the similarity when the item configuration's variance structure is complex. (Author/CTM)
Descriptors: Multiple Regression Analysis, Predictor Variables, Scoring Formulas, Weighted Scores
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Rodriguez, T. Nelson; Hansen, Lee H. – Journal of Experimental Education, 1975
Readability formulas are designed to provide quantitative estimates of the relative difficulty of pieces of writing. This study explored the extent to which an increase in the accuracy of a specific readability formula could be obtained by norming it for a restricted set of reading materials and subjects. (Editor)
Descriptors: Cloze Procedure, Multiple Regression Analysis, Readability, Reading Materials
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Attali, Yigal – ETS Research Report Series, 2007
Because there is no commonly accepted view of what makes for good writing, automated essay scoring (AES) ideally should be able to accommodate different theoretical positions, certainly at the level of state standards but also perhaps among teachers at the classroom level. This paper presents a practical approach and an interactive computer…
Descriptors: Computer Assisted Testing, Automation, Essay Tests, Scoring
Tatsuoka, Kikumi – 1980
This paper presents a new method for estimating a given latent trait variable by the least-squares approach. The beta weights are obtained recursively with the help of Fourier series and expressed as functions of item parameters of response curves. The values of the latent trait variable estimated by this method and by maximum likelihood method…
Descriptors: Computer Assisted Testing, Error of Measurement, Higher Education, Latent Trait Theory
McNeil, Judy T. – 1975
The method of using person vectors in regression analysis to test repeated measures hypotheses or questions is discussed. These hypotheses involve designs with pre and post scores with one group and with multiple groups. Based on these analyses with person vectors, there are two major focuses of the paper: a proposed solution to the problem of…
Descriptors: Analysis of Covariance, Criterion Referenced Tests, Data Processing, Hypothesis Testing
Roudabush, Glenn E. – 1975
The objective of this study was to show that standardized reading scores could be adequately estimated from scores on a criterion-referenced test in reading. This would reduce classroom test time, while, at the same time, provide the kinds of information teachers need to guide instruction, and the kinds of information administrators require for…
Descriptors: Achievement Tests, Correlation, Criterion Referenced Tests, Equated Scores
Bormuth, John R. – 1979
A procedure is demonstrated for constructing tables showing, for each score on a commercial reading achievement test, the percentage of real-world materials that the testee is likely to comprehend with at least a criterion level of proficiency, the percentages of students in a local or national sample who can competently comprehend a given…
Descriptors: Criterion Referenced Tests, Elementary Secondary Education, Equivalency Tests, Expectancy Tables