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Li, Dongmei – Journal of Educational Measurement, 2022
Equating error is usually small relative to the magnitude of measurement error, but it could be one of the major sources of error contributing to mean scores of large groups in educational measurement, such as the year-to-year state mean score fluctuations. Though testing programs may routinely calculate the standard error of equating (SEE), the…
Descriptors: Error Patterns, Educational Testing, Group Testing, Statistical Analysis
Metsämuuronen, Jari – International Journal of Educational Methodology, 2020
Pearson product-moment correlation coefficient between item g and test score X, known as item-test or item-total correlation ("Rit"), and item-rest correlation ("Rir") are two of the most used classical estimators for item discrimination power (IDP). Both "Rit" and "Rir" underestimate IDP caused by the…
Descriptors: Correlation, Test Items, Scores, Difficulty Level
Metsämuuronen, Jari – International Journal of Educational Methodology, 2020
Kelley's Discrimination Index (DI) is a simple and robust, classical non-parametric short-cut to estimate the item discrimination power (IDP) in the practical educational settings. Unlike item-total correlation, DI can reach the ultimate values of +1 and -1, and it is stable against the outliers. Because of the computational easiness, DI is…
Descriptors: Test Items, Computation, Item Analysis, Nonparametric Statistics
Sinharay, Sandip – Grantee Submission, 2019
Benefiting from item preknowledge (e.g., McLeod, Lewis, & Thissen, 2003) is a major type of fraudulent behavior during educational assessments. This paper suggests a new statistic that can be used for detecting the examinees who may have benefitted from item preknowledge using their response times. The statistic quantifies the difference in…
Descriptors: Test Items, Cheating, Reaction Time, Identification
Xiao, Jiaying; Bulut, Okan – Educational and Psychological Measurement, 2020
Large amounts of missing data could distort item parameter estimation and lead to biased ability estimates in educational assessments. Therefore, missing responses should be handled properly before estimating any parameters. In this study, two Monte Carlo simulation studies were conducted to compare the performance of four methods in handling…
Descriptors: Data, Computation, Ability, Maximum Likelihood Statistics
Guo, Hongwen; Dorans, Neil J. – ETS Research Report Series, 2019
The Mantel-Haenszel delta difference (MH D-DIF) and the standardized proportion difference (STD P-DIF) are two observed-score methods that have been used to assess differential item functioning (DIF) at Educational Testing Service since the early 1990s. Latentvariable approaches to assessing measurement invariance at the item level have been…
Descriptors: Test Bias, Educational Testing, Statistical Analysis, Item Response Theory
Doneva, Rositsa; Gaftandzhieva, Siliva; Totkov, George – Turkish Online Journal of Distance Education, 2018
This paper presents a study on known approaches for quality assurance of educational test and test items. On its basis a comprehensive approach to the quality assurance of online educational testing is proposed to address the needs of all stakeholders (authors of online tests, teachers, students, experts, quality managers, etc.). According to the…
Descriptors: Educational Testing, Automation, Quality Assurance, Computer Assisted Testing
Quaigrain, Kennedy; Arhin, Ato Kwamina – Cogent Education, 2017
Item analysis is essential in improving items which will be used again in later tests; it can also be used to eliminate misleading items in a test. The study focused on item and test quality and explored the relationship between difficulty index (p-value) and discrimination index (DI) with distractor efficiency (DE). The study was conducted among…
Descriptors: Item Analysis, Teacher Developed Materials, Test Reliability, Educational Assessment
Sidorov, Oleg V.; Kozub, Lyubov' V.; Goferberg, Alexander V.; Osintseva, Natalya V. – European Journal of Contemporary Education, 2018
The article discusses the methodological approach to the technology of the educational experiment performance, the ways of the research data processing by means of research methods and methods of mathematical statistics. The article shows the integrated use of some effective approaches to the training of the students majoring in…
Descriptors: Statistical Analysis, Technology Education, Laboratory Equipment, Technology Uses in Education

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