Related Experiment Video
Updated: Jun 22, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke
Published on: January 7, 2019
Considerations about expected a posteriori estimation in adaptive testing: adaptive a priori, adaptive correction for
Gilles Raiche1, Jean-Guy Blais
1Faculty of Science in Education, Department of Education and Pedagogy, University of Quebec at Montreal, C. P. 8888, Succ. Centre-ville, Montreal, QC H3C 3P8, Canada. raiche.gilles@uqam.ca
Abstract:
In a computerized adaptive test, we would like to obtain an acceptable precision of the proficiency level estimate using an optimal number of items. Unfortunately, decreasing the number of items is accompanied by a certain degree of bias when the true proficiency level differs significantly from the a priori estimate. The authors suggest that it is possible to reduced the bias, and even the standard error of the estimate, by applying to each provisional estimation one or a combination of the following strategies: adaptive correction for bias proposed by Bock and Mislevy (1982), adaptive a priori estimate, and adaptive integration interval.
Related Concept Videos
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
The...
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
Assumptions of Survival Analysis
The Anchoring-and-Adjustment Heuristic
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Bias in Epidemiological Studies

