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Download full textMimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
Direct linkMoro, Sérgio; Martins, António; Ramos, Pedro; Esmerado, Joaquim; Costa, Joana Martinho; Almeida, Daniela – Computers in the Schools, 2020
Many university programs include Microsoft Excel courses given their value as a scientific and technical tool. However, evaluating what is effectively learned by students is a challenging task. Considering multiple-choice written exams are a standard evaluation format, this study aimed to uncover the features influencing students' success in…
Descriptors: Multiple Choice Tests, Test Items, Spreadsheets, Computer Software
Liao, Linyu – English Language Teaching, 2020
As a high-stakes standardized test, IELTS is expected to have comparable forms of test papers so that test takers from different test administration on different dates receive comparable test scores. Therefore, this study examined the text difficulty and task characteristics of four parallel academic IELTS reading tests to reveal to what extent…
Descriptors: Second Language Learning, English (Second Language), Language Tests, High Stakes Tests
Lesnov, Roman Olegovich – International Journal of Computer-Assisted Language Learning and Teaching, 2018
This article compares second language test-takers' performance on an academic listening test in an audio-only mode versus an audio-video mode. A new method of classifying video-based visuals was developed and piloted, which used L2 expert opinions to place the video on a continuum from being content-deficient (not helpful for answering…
Descriptors: Second Language Learning, Second Language Instruction, Video Technology, Classification
Chen, Jing; Sheehan, Kathleen M. – ETS Research Report Series, 2015
The "TOEFL"® family of assessments includes the "TOEFL"® Primary"™, "TOEFL Junior"®, and "TOEFL iBT"® tests. The linguistic complexity of stimulus passages in the reading sections of the TOEFL family of assessments is expected to differ across the test levels. This study evaluates the linguistic…
Descriptors: Language Tests, Second Language Learning, English (Second Language), Reading Comprehension
Peer reviewedAiken, Lewis R. – Educational and Psychological Measurement, 1989
Two alternatives to traditional item analysis and reliability estimation procedures are considered for determining the difficulty, discrimination, and reliability of optional items on essay and other tests. A computer program to compute these measures is described, and illustrations are given. (SLD)
Descriptors: College Entrance Examinations, Computer Software, Difficulty Level, Essay Tests
Lunz, Mary E.; And Others – 1989
A method for understanding and controlling the multiple facets of an oral examination (OE) or other judge-intermediated examination is presented and illustrated. This study focused on determining the extent to which the facets model (FM) analysis constructs meaningful variables for each facet of an OE involving protocols, examiners, and…
Descriptors: Computer Software, Difficulty Level, Evaluators, Examiners
