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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
Brown, Tucker; Kenney, Matthew T. – Journal of College Student Retention: Research, Theory & Practice, 2014
In this article, the authors discuss a recent study they carried out at a mid-sized state university that used a polling method called deliberative polling. This type of polling differs from conventional polling in that respondents are polled before and after a deliberative session in which they discuss issues based on pertinent and…
Descriptors: Academic Persistence, School Holding Power, Focus Groups, Graduation Rate
Schochet, Peter Z.; Chiang, Hanley S. – National Center for Education Evaluation and Regional Assistance, 2010
This paper addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. Using realistic performance measurement system schemes based on hypothesis testing, we develop error rate formulas based on OLS and Empirical Bayes estimators.…
Descriptors: Teacher Effectiveness, Teacher Evaluation, Student Evaluation, Scores
Bonett, Douglas G. – Applied Psychological Measurement, 2006
Comparing variability of test scores across alternate forms, test conditions, or subpopulations is a fundamental problem in psychometrics. A confidence interval for a ratio of standard deviations is proposed that performs as well as the classic method with normal distributions and performs dramatically better with nonnormal distributions. A simple…
Descriptors: Intervals, Mathematical Concepts, Comparative Analysis, Psychometrics
Peer reviewedAngoff, William H.; Schrader, William B. – Journal of Educational Measurement, 1984
The reported data provide a basis for evaluating the formula-scoring versus rights-scoring issue and for assessing the effects of directions on the reliability and parallelism of scores for sophisticated examinees taking professionally developed tests. Results support the invariance hypothesis rather than the differential effects hypothesis.…
Descriptors: College Entrance Examinations, Guessing (Tests), Higher Education, Hypothesis Testing
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
Albanese, Mark A. – 1985
This study reexamines results reported by Angoff and Schrader regarding formula directions and rights directions for standardized tests. In that study, it was concluded that the two scoring directions were essentially equivalent. In this study, methodological concerns are discussed and additional data analyses undertaken. Among various…
Descriptors: College Entrance Examinations, Data Interpretation, Fatigue (Biology), Guessing (Tests)

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