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Jing Miao; Yi Cao; Michael E. Walker – ETS Research Report Series, 2024
Studies of test score comparability have been conducted at different stages in the history of testing to ensure that test results carry the same meaning regardless of test conditions. The expansion of at-home testing via remote proctoring sparked another round of interest. This study uses data from three licensure tests to assess potential mode…
Descriptors: Testing, Test Format, Computer Assisted Testing, Home Study
Blair Lehman; Jesse R. Sparks; Jonathan Steinberg – ETS Research Report Series, 2024
Over the last 20 years, many methods have been proposed to use process data (e.g., response time) to detect changes in engagement during the test-taking process. However, many of these methods were developed and evaluated in highly similar testing contexts: 30 or more single-select multiple-choice items presented in a linear, fixed sequence in…
Descriptors: National Competency Tests, Secondary School Mathematics, Secondary School Students, Mathematics Tests
Wang, Wei; Dorans, Neil J. – ETS Research Report Series, 2021
Agreement statistics and measures of prediction accuracy are often used to assess the quality of two measures of a construct. Agreement statistics are appropriate for measures that are supposed to be interchangeable, whereas prediction accuracy statistics are appropriate for situations where one variable is the target and the other variables are…
Descriptors: Classification, Scaling, Prediction, Accuracy
Carol Eckerly; Yue Jia; Paul Jewsbury – ETS Research Report Series, 2022
Testing programs have explored the use of technology-enhanced items alongside traditional item types (e.g., multiple-choice and constructed-response items) as measurement evidence of latent constructs modeled with item response theory (IRT). In this report, we discuss considerations in applying IRT models to a particular type of adaptive testlet…
Descriptors: Computer Assisted Testing, Test Items, Item Response Theory, Scoring
Olivera-Aguilar, Margarita; Lee, Hee-Sun; Pallant, Amy; Belur, Vinetha; Mulholland, Matthew; Liu, Ou Lydia – ETS Research Report Series, 2022
This study uses a computerized formative assessment system that provides automated scoring and feedback to help students write scientific arguments in a climate change curriculum. We compared the effect of contextualized versus generic automated feedback on students' explanations of scientific claims and attributions of uncertainty to those…
Descriptors: Computer Assisted Testing, Formative Evaluation, Automation, Scoring
Seybert, Jacob; Becker, Dovid – ETS Research Report Series, 2019
Forced-choice (FC) measures are becoming increasingly common in the assessment of personality for high-stakes testing purposes in both educational and organizational settings. Despite this, there has been relatively little research into the reliability of scores obtained from these measures, particularly when administered as a computerized…
Descriptors: Test Reliability, Personality Measures, Measurement Techniques, Computer Assisted Testing
Hao, Jiangang; Mislevy, Robert J. – ETS Research Report Series, 2018
Virtual performance assessments (VPAs), such as game- and simulation-based assessments, provide promising ways for assessing complex and integrated skills. However, the high cost, long development cycle, and complex scoring process significantly hinder the adoption of VPAs, particularly in large-scale assessments with tight deadlines and limited…
Descriptors: Performance Based Assessment, Computer Assisted Testing, Test Construction, Evidence
Katz, Irvin R.; Rijmen, Frank; Attali, Yigal – ETS Research Report Series, 2018
Few would argue about the growing importance of information and communication technology (ICT) literacy as relatively new and distinct skills that affect educational attainment, workforce readiness, and lifelong learning. There is less agreement, however, as to what ICT literacy skills and knowledge are, how best to measure them, and strategies…
Descriptors: Factor Structure, Performance Based Assessment, Computer Assisted Testing, Computer Literacy
Gu, Lixiong; Ling, Guangming; Qu, Yanxuan – ETS Research Report Series, 2019
Research has found that the "a"-stratified item selection strategy (STR) for computerized adaptive tests (CATs) may lead to insufficient use of high a items at later stages of the tests and thus to reduced measurement precision. A refined approach, unequal item selection across strata (USTR), effectively improves test precision over the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Use, Test Items
Zhou, Jiawen; Cao, Yi – ETS Research Report Series, 2020
In this study, we explored retest effects on test scores and response time for repeaters, examinees who retake an examination. We looked at two groups of repeaters: those who took the same form twice and those who took different forms on their two attempts for a certification and licensure test. Scores improved over the two test attempts, and…
Descriptors: Testing, Test Items, Computer Assisted Testing, Licensing Examinations (Professions)
Guzman-Orth, Danielle; Song, Yi; Sparks, Jesse R. – ETS Research Report Series, 2019
In this study, we investigated the challenges and opportunities in developing a computer-delivered English language arts (ELA) task intended to improve the accessibility of the task for middle school English learners (ELs). Data from cognitive labs with 8 ELs with varying language proficiency levels provided rich insight to student-- task…
Descriptors: Formative Evaluation, Test Construction, Test Items, Persuasive Discourse
Ockey, Gary J.; Timpe-Laughlin, Veronika; Davis, Larry; Gu, Lin – ETS Research Report Series, 2019
The construct of oral ability is multifaceted, but due to technological and practical constraints, the majority of computer-delivered speaking assessments are designed to measure only certain aspects of this ability. Most notably, interactional competence, which we define as the ability to actively structure dialogic speech in real time, is often…
Descriptors: Computer Assisted Testing, Speech Skills, Interpersonal Competence, Videoconferencing
Choi, Ikkyu; Hao, Jiangang; Deane, Paul; Zhang, Mo – ETS Research Report Series, 2021
"Biometrics" are physical or behavioral human characteristics that can be used to identify a person. It is widely known that keystroke or typing dynamics for short, fixed texts (e.g., passwords) could serve as a behavioral biometric. In this study, we investigate whether keystroke data from essay responses can lead to a reliable…
Descriptors: Accuracy, High Stakes Tests, Writing Tests, Benchmarking
Hao, Jiangang; Smith, Lawrence; Mislevy, Robert; von Davier, Alina; Bauer, Malcolm – ETS Research Report Series, 2016
Extracting information efficiently from game/simulation-based assessment (G/SBA) logs requires two things: a well-structured log file and a set of analysis methods. In this report, we propose a generic data model specified as an extensible markup language (XML) schema for the log files of G/SBAs. We also propose a set of analysis methods for…
Descriptors: Evaluation Methods, Games, Computer Assisted Testing, Data Collection
Andrews-Todd, Jessica; Jackson, G. Tanner; Kurzum, Christopher – ETS Research Report Series, 2019
Collaborative problem solving (CPS) is an important 21st-century skill for academic and career success, and as a result, there is increased interest among businesses and educational institutions in the assessment and development of CPS skills. CPS skills are difficult to measure using traditional forms of assessment, and that difficulty has led to…
Descriptors: Problem Solving, 21st Century Skills, Academic Achievement, Cooperation