Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 4 |
Descriptor
Error of Measurement | 5 |
Testing | 5 |
Comparative Analysis | 2 |
Correlation | 2 |
Statistical Analysis | 2 |
Test Interpretation | 2 |
Academic Ability | 1 |
Accuracy | 1 |
Adaptive Testing | 1 |
Computer Assisted Testing | 1 |
Difficulty Level | 1 |
More ▼ |
Source
Journal of Educational… | 5 |
Author
Augustin Mutak | 1 |
Esther Ulitzsch | 1 |
Garvin, Alfred D. | 1 |
Jochen Ranger | 1 |
Kane, Michael | 1 |
Li, Jie | 1 |
Puhan, Gautam | 1 |
Robert Krause | 1 |
Steffi Pohl | 1 |
Sören Much | 1 |
Zhang, Jinming | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 4 |
Reports - Descriptive | 1 |
Education Level
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Augustin Mutak; Robert Krause; Esther Ulitzsch; Sören Much; Jochen Ranger; Steffi Pohl – Journal of Educational Measurement, 2024
Understanding the intraindividual relation between an individual's speed and ability in testing scenarios is essential to assure a fair assessment. Different approaches exist for estimating this relationship, that either rely on specific study designs or on specific assumptions. This paper aims to add to the toolbox of approaches for estimating…
Descriptors: Testing, Academic Ability, Time on Task, Correlation
Zhang, Jinming; Li, Jie – Journal of Educational Measurement, 2016
An IRT-based sequential procedure is developed to monitor items for enhancing test security. The procedure uses a series of statistical hypothesis tests to examine whether the statistical characteristics of each item under inspection have changed significantly during CAT administration. This procedure is compared with a previously developed…
Descriptors: Computer Assisted Testing, Test Items, Difficulty Level, Item Response Theory
Kane, Michael – Journal of Educational Measurement, 2011
Errors don't exist in our data, but they serve a vital function. Reality is complicated, but our models need to be simple in order to be manageable. We assume that attributes are invariant over some conditions of observation, and once we do that we need some way of accounting for the variability in observed scores over these conditions of…
Descriptors: Error of Measurement, Scores, Test Interpretation, Testing
Puhan, Gautam – Journal of Educational Measurement, 2012
Tucker and chained linear equatings were evaluated in two testing scenarios. In Scenario 1, referred to as rater comparability scoring and equating, the anchor-to-total correlation is often very high for the new form but moderate for the reference form. This may adversely affect the results of Tucker equating, especially if the new and reference…
Descriptors: Testing, Scoring, Equated Scores, Statistical Analysis

Garvin, Alfred D. – Journal of Educational Measurement, 1976
A simple, usefully accurate approximation of the standard error of measurement is proposed for use by classroom teachers. An empirical comparison with Lord's approximation indicated that, though not as easy to calculate as Lord's, this approximation is more practical because it is useful at any point in the score distribution. (BW)
Descriptors: Error of Measurement, Estimation (Mathematics), Mathematical Formulas, Statistical Analysis