Often a written test is used as an inexpensive substitute for a performance aeasure. A specified ainiaum perforaance level or probability of successful perforaance can be translated into a ainimua passing score for the written test most efficiently by aeasuring the perforaance of students whose written test scores are near the desired cutoff score. Stochastic approximation methods accoaplish this purpose. The up-and-down aethod and the Robbins-Monro process are presented, discussed, and compared. (Author) Documents acquired by ERIC include many informal unpublished * aterials not available from other sources. ERIC akes every effort * * tc obtain the best copy available. Nevertheless, iteas of marginal * * reproducibility are often encounter...
Optimal assessment tools should measure in a limited time the knowledge of students in a correct and...
Standard setting provides a way to define minimal competency for various professional assessments. I...
There are good reasons for the growing popularity of Monte Carlo procedures; but with increasing use...
Several studies have compared different judgmental methods of setting passing scores by estimating ...
Two versions of the Nedelsky procedure for setting minimum passing scores are compared. Two groups o...
A classical problem in mastery testing is the choice of passing score and test length so that the ma...
ABSTRACT. TWO approaches are described for the simultaneous determination of pass-ing scores for sub...
Even when the scoring of an examination is based on item response theory (IRT), standard-setting met...
A mathematical model is developed with which the total effort of the student can be minimized (thus ...
The study compares three methods for establishing cut-off scoreS that effect a compromise between ab...
This paper describes the use of the standardized score in grading multiple choices examinations by c...
Multiple-choice exam? I will guess! Multiple-choice questions are objective and can easily and quic...
Few if any validated guidelines exist for making decisions about the design, media, or format of ne...
This paper discusses the use of the Robbins Monro algorithm and the Kiefer Wolfowitz algorithm in th...
The oldest stochastic approximation method is the Robbins–Monro process. This estimates an unknown s...
Optimal assessment tools should measure in a limited time the knowledge of students in a correct and...
Standard setting provides a way to define minimal competency for various professional assessments. I...
There are good reasons for the growing popularity of Monte Carlo procedures; but with increasing use...
Several studies have compared different judgmental methods of setting passing scores by estimating ...
Two versions of the Nedelsky procedure for setting minimum passing scores are compared. Two groups o...
A classical problem in mastery testing is the choice of passing score and test length so that the ma...
ABSTRACT. TWO approaches are described for the simultaneous determination of pass-ing scores for sub...
Even when the scoring of an examination is based on item response theory (IRT), standard-setting met...
A mathematical model is developed with which the total effort of the student can be minimized (thus ...
The study compares three methods for establishing cut-off scoreS that effect a compromise between ab...
This paper describes the use of the standardized score in grading multiple choices examinations by c...
Multiple-choice exam? I will guess! Multiple-choice questions are objective and can easily and quic...
Few if any validated guidelines exist for making decisions about the design, media, or format of ne...
This paper discusses the use of the Robbins Monro algorithm and the Kiefer Wolfowitz algorithm in th...
The oldest stochastic approximation method is the Robbins–Monro process. This estimates an unknown s...
Optimal assessment tools should measure in a limited time the knowledge of students in a correct and...
Standard setting provides a way to define minimal competency for various professional assessments. I...
There are good reasons for the growing popularity of Monte Carlo procedures; but with increasing use...