Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Language Tests | 6 |
| Scaling | 6 |
| Test Items | 6 |
| English (Second Language) | 4 |
| Item Response Theory | 4 |
| Foreign Countries | 3 |
| Comparative Analysis | 2 |
| Difficulty Level | 2 |
| Item Analysis | 2 |
| Models | 2 |
| Reading Comprehension | 2 |
| More ▼ | |
Source
| Educational and Psychological… | 1 |
| International Journal of… | 1 |
| Language Assessment Quarterly | 1 |
| Language Testing | 1 |
Author
Publication Type
| Reports - Research | 5 |
| Journal Articles | 4 |
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Test of English as a Foreign… | 2 |
| International English… | 1 |
What Works Clearinghouse Rating
Download full textFiroozi, Fatemeh – International Journal of Language Testing, 2021
Large-scale standardized ESL tests such as the International English Language Testing System (IELTS) are widely used around the world to measure the language proficiency of test-takers and make different decisions based on their scores. Reading comprehension is an integral part of such tests which requires test-takers to read passages and answer a…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Standardized Tests
Direct linkHolster, Trevor A.; Lake, J. – Language Assessment Quarterly, 2016
Stewart questioned Beglar's use of Rasch analysis of the Vocabulary Size Test (VST) and advocated the use of 3-parameter logistic item response theory (3PLIRT) on the basis that it models a non-zero lower asymptote for items, often called a "guessing" parameter. In support of this theory, Stewart presented fit statistics derived from…
Descriptors: Guessing (Tests), Item Response Theory, Vocabulary, Language Tests
Hartig, Johannes; Frey, Andreas; Nold, Gunter; Klieme, Eckhard – Educational and Psychological Measurement, 2012
The article compares three different methods to estimate effects of task characteristics and to use these estimates for model-based proficiency scaling: prediction of item difficulties from the Rasch model, the linear logistic test model (LLTM), and an LLTM including random item effects (LLTM+e). The methods are applied to empirical data from a…
Descriptors: Item Response Theory, Models, Methods, Computation
Peer reviewedOltman, Phillip K.; Stricker, Lawrence J. – Language Testing, 1990
A recent multidimensional scaling analysis of the Test of English-as-a-Foreign-Language (TOEFL) item response data identified clusters of items in the test sections that, being more homogeneous than their parent sections, might be better for diagnostic use. The analysis was repeated using different scoring techniques. Results diverged only for…
Descriptors: English (Second Language), Item Analysis, Language Tests, Scaling
Hicks, Marilyn M. – 1984
Six methods of equating Test of English as a Foreign Language (TOEFL) test scores for samples consisting of the usual groups of examinees and groups controlled for native language representation were evaluated in terms of scale stability. The equating methods included three item response theory (IRT) variants (fixed b's scaling, a one-parameter…
Descriptors: College Entrance Examinations, Comparative Analysis, English (Second Language), Equated Scores
Abdel-fattah, Abdel-fattah A. – 1992
A scaling procedure is proposed, based on item response theory (IRT), to fit non-hierarchical test structure as well. The binary scores of a test of English were used for calculating the probabilities of answering each item correctly. The probability matrix was factor analyzed, and the difficulty intervals or estimates corresponding to the factors…
Descriptors: Bayesian Statistics, Difficulty Level, English, Estimation (Mathematics)
