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Peer reviewed
Download full textDeschênes, Marie-France; Dionne, Éric; Dorion, Michelle; Grondin, Julie – Practical Assessment, Research & Evaluation, 2023
The use of the aggregate scoring method for scoring concordance tests requires the weighting of test items to be derived from the performance of a group of experts who take the test under the same conditions as the examinees. However, the average score of experts constituting the reference panel remains a critical issue in the use of these tests.…
Descriptors: Scoring, Tests, Evaluation Methods, Test Items
Direct linkvan Rijn, Peter W.; Attali, Yigal; Ali, Usama S. – Journal of Experimental Education, 2023
We investigated whether and to what extent different scoring instructions, timing conditions, and direct feedback affect performance and speed. An experimental study manipulating these factors was designed to address these research questions. According to the factorial design, participants were randomly assigned to one of twelve study conditions.…
Descriptors: Scoring, Time, Feedback (Response), Performance
Baldwin, Peter; Clauser, Brian E. – Journal of Educational Measurement, 2022
While score comparability across test forms typically relies on common (or randomly equivalent) examinees or items, innovations in item formats, test delivery, and efforts to extend the range of score interpretation may require a special data collection before examinees or items can be used in this way--or may be incompatible with common examinee…
Descriptors: Scoring, Testing, Test Items, Test Format
Puhan, Gautam; Kim, Sooyeon – Journal of Educational Measurement, 2022
As a result of the COVID-19 pandemic, at-home testing has become a popular delivery mode in many testing programs. When programs offer at-home testing to expand their service, the score comparability between test takers testing remotely and those testing in a test center is critical. This article summarizes statistical procedures that could be…
Descriptors: Scores, Scoring, Comparative Analysis, Testing
Almehrizi, Rashid S. – Applied Measurement in Education, 2021
KR-21 reliability and its extension (coefficient [alpha]) gives the reliability estimate of test scores under the assumption of tau-equivalent forms. KR-21 reliability gives the reliability estimate for summed scores for dichotomous items when items are randomly sampled from an infinite pool of similar items (randomly parallel forms). The article…
Descriptors: Test Reliability, Scores, Scoring, Computation
Farshad Effatpanah; Purya Baghaei; Mona Tabatabaee-Yazdi; Esmat Babaii – Language Testing, 2025
This study aimed to propose a new method for scoring C-Tests as measures of general language proficiency. In this approach, the unit of analysis is sentences rather than gaps or passages. That is, the gaps correctly reformulated in each sentence were aggregated as sentence score, and then each sentence was entered into the analysis as a polytomous…
Descriptors: Item Response Theory, Language Tests, Test Items, Test Construction
Alpizar, David; Li, Tongyun; Norris, John M.; Gu, Lixiong – Language Testing, 2023
The C-test is a type of gap-filling test designed to efficiently measure second language proficiency. The typical C-test consists of several short paragraphs with the second half of every second word deleted. The words with deleted parts are considered as items nested within the corresponding paragraph. Given this testlet structure, it is commonly…
Descriptors: Psychometrics, Language Tests, Second Language Learning, Test Items
Myszkowski, Nils – Journal of Intelligence, 2020
Raven's Standard Progressive Matrices (Raven 1941) is a widely used 60-item long measure of general mental ability. It was recently suggested that, for situations where taking this test is too time consuming, a shorter version, comprised of only the last series of the Standard Progressive Matrices (Myszkowski and Storme 2018) could be used, while…
Descriptors: Intelligence Tests, Psychometrics, Nonparametric Statistics, Item Response Theory
Clements, Douglas H.; Banse, Holland; Sarama, Julie; Tatsuoka, Curtis; Joswick, Candace; Hudyma, Aaron; Van Dine, Douglas W.; Tatsuoka, Kikumi K. – Mathematical Thinking and Learning: An International Journal, 2022
Researchers often develop instruments using correctness scores (and a variety of theories and techniques, such as Item Response Theory) for validation and scoring. Less frequently, observations of children's strategies are incorporated into the design, development, and application of assessments. We conducted individual interviews of 833…
Descriptors: Item Response Theory, Computer Assisted Testing, Test Items, Mathematics Tests
Palermo, Corey; Bunch, Michael B.; Ridge, Kirk – Journal of Educational Measurement, 2019
Although much attention has been given to rater effects in rater-mediated assessment contexts, little research has examined the overall stability of leniency and severity effects over time. This study examined longitudinal scoring data collected during three consecutive administrations of a large-scale, multi-state summative assessment program.…
Descriptors: Scoring, Interrater Reliability, Measurement, Summative Evaluation
Slepkov, Aaron D.; Godfrey, Alan T. K. – Applied Measurement in Education, 2019
The answer-until-correct (AUC) method of multiple-choice (MC) testing involves test respondents making selections until the keyed answer is identified. Despite attendant benefits that include improved learning, broad student adoption, and facile administration of partial credit, the use of AUC methods for classroom testing has been extremely…
Descriptors: Multiple Choice Tests, Test Items, Test Reliability, Scores
Foster, Colin – International Journal of Science and Mathematics Education, 2022
Confidence assessment (CA) involves students stating alongside each of their answers a confidence rating (e.g. 0 low to 10 high) to express how certain they are that their answer is correct. Each student's score is calculated as the sum of the confidence ratings on the items that they answered correctly, minus the sum of the confidence ratings on…
Descriptors: Mathematics Tests, Mathematics Education, Secondary School Students, Meta Analysis
Neitzel, Jennifer; Early, Diane; Sideris, John; LaForrett, Doré; Abel, Michael B.; Soli, Margaret; Davidson, Dawn L.; Haboush-Deloye, Amanda; Hestenes, Linda L.; Jenson, Denise; Johnson, Cindy; Kalas, Jennifer; Mamrak, Angela; Masterson, Marie L.; Mims, Sharon U.; Oya, Patti; Philson, Bobbi; Showalter, Megan; Warner-Richter, Mallory; Kortright Wood, Jill – Journal of Early Childhood Research, 2019
The Early Childhood Environment Rating Scales, including the "Early Childhood Environment Rating Scale--Revised" (Harms et al., 2005) and the "Early Childhood Environment Rating Scale, Third Edition" (Harms et al., 2015) are the most widely used observational assessments in early childhood learning environments. The most recent…
Descriptors: Rating Scales, Early Childhood Education, Educational Quality, Scoring
Lynch, Sarah – Practical Assessment, Research & Evaluation, 2022
In today's digital age, tests are increasingly being delivered on computers. Many of these computer-based tests (CBTs) have been adapted from paper-based tests (PBTs). However, this change in mode of test administration has the potential to introduce construct-irrelevant variance, affecting the validity of score interpretations. Because of this,…
Descriptors: Computer Assisted Testing, Tests, Scores, Scoring
Alqarni, Abdulelah Mohammed – Journal on Educational Psychology, 2019
This study compares the psychometric properties of reliability in Classical Test Theory (CTT), item information in Item Response Theory (IRT), and validation from the perspective of modern validity theory for the purpose of bringing attention to potential issues that might exist when testing organizations use both test theories in the same testing…
Descriptors: Test Theory, Item Response Theory, Test Construction, Scoring
