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Showing 1 to 15 of 46 results Save | Export
Benjamin W. Domingue; Klint Kanopka; Ben Stenhaug; James Soland; Megan Kuhfeld; Steve Wise; Chris Piech – Grantee Submission, 2021
The more frequent collection of response time data is leading to an increased need for an understanding of how such data can be included in measurement models. Models for response time have been advanced, but relatively limited large-scale empirical investigations have been conducted. We take advantage of a large dataset from the adaptive NWEA MAP…
Descriptors: Achievement Tests, Reaction Time, Reading Tests, Accuracy
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Benjamin W. Domingue; Klint Kanopka; Ben Stenhaug; James Soland; Megan Kuhfeld; Steve Wise; Chris Piech – Journal of Educational Measurement, 2021
The more frequent collection of response time data is leading to an increased need for an understanding of how such data can be included in measurement models. Models for response time have been advanced, but relatively limited large-scale empirical investigations have been conducted. We take advantage of a large data set from the adaptive NWEA…
Descriptors: Achievement Tests, Reaction Time, Reading Tests, Accuracy
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Journal of Educational Measurement, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
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Lundgren, Erik; Eklöf, Hanna – International Journal of Testing, 2023
This study aims to assess student motivation to provide valid responses to the PISA student questionnaire. This was done by modeling response times using a three-component finite mixture model, comprising two satisficing response styles (rapid and idle) and one optimizing response style. Each participant's motivation was operationalized as their…
Descriptors: Student Motivation, Reaction Time, Questionnaires, International Assessment
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Jana Welling; Timo Gnambs; Claus H. Carstensen – Educational and Psychological Measurement, 2024
Disengaged responding poses a severe threat to the validity of educational large-scale assessments, because item responses from unmotivated test-takers do not reflect their actual ability. Existing identification approaches rely primarily on item response times, which bears the risk of misclassifying fast engaged or slow disengaged responses.…
Descriptors: Foreign Countries, College Students, Guessing (Tests), Multiple Choice Tests
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Grantee Submission, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
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Pools, Elodie – Applied Measurement in Education, 2022
Many low-stakes assessments, such as international large-scale surveys, are administered during time-limited testing sessions and some test-takers are not able to endorse the last items of the test, resulting in not-reached (NR) items. However, because the test has no consequence for the respondents, these NR items can also stem from quitting the…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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Yildirim-Erbasli, Seyma Nur; Bulut, Okan – Educational Research and Evaluation, 2020
This study investigated the impact of students' test-taking effort on their growth estimates in reading. The sample consisted of 7,602 students (Grades 1 to 4) in the United States who participated in the fall and spring administrations of a computer-based reading assessment. First, a new response dataset was created by flagging both…
Descriptors: Response Style (Tests), Reading Tests, Guessing (Tests), Reaction Time
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Frederick J. Poole; Matthew D. Coss; Jody Clarke-Midura – Language Learning & Technology, 2025
This study explored the use of stealth assessments within a digital game to assess second language (L2) Chinese learners' reading comprehension. Log data tracking learners' in-game behaviors from a game designed for Chinese dual language immersion classrooms (Poole et al., 2022) were used to construct Bayesian Belief Networks to model reading…
Descriptors: Second Language Instruction, Second Language Learning, Reading Comprehension, Game Based Learning
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Carioti, Desiré; Stucchi, Natale Adolfo; Toneatto, Carlo; Masia, Marta Franca; Del Monte, Milena; Stefanelli, Silvia; Travellini, Simona; Marcelli, Antonella; Tettamanti, Marco; Vernice, Mirta; Guasti, Maria Teresa; Berlingeri, Manuela – Annals of Dyslexia, 2023
In this study, we validated the "ReadFree tool", a computerised battery of 12 visual and auditory tasks developed to identify poor readers also in minority-language children (MLC). We tested the task-specific discriminant power on 142 Italian-monolingual participants (8-13 years old) divided into monolingual poor readers (N = 37) and…
Descriptors: Language Minorities, Task Analysis, Italian, Monolingualism
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Soland, James; Kuhfeld, Megan; Rios, Joseph – Large-scale Assessments in Education, 2021
Low examinee effort is a major threat to valid uses of many test scores. Fortunately, several methods have been developed to detect noneffortful item responses, most of which use response times. To accurately identify noneffortful responses, one must set response time thresholds separating those responses from effortful ones. While other studies…
Descriptors: Reaction Time, Measurement, Response Style (Tests), Reading Tests
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Su, Shiyang; Davison, Mark L. – Applied Measurement in Education, 2019
Response times have often been used as ancillary information to improve parameter estimation. Under the dual processing theory, assuming reading comprehension requires an automatic process, a fast, correct response is an indicator of effective automatic processing. A skilled, automatic comprehender should be high in response accuracy and low in…
Descriptors: Reaction Time, Reading Comprehension, Reading Tests, Predictive Validity
Su, Shiyang; Davison, Mark L. – Grantee Submission, 2019
Response times have often been used as ancillary information to improve parameter estimation. Under the dual processing theory, assuming reading comprehension requires an automatic process, a fast, correct response is an indicator of effective automatic processing. A skilled, automatic comprehender should be high in response accuracy and low in…
Descriptors: Reaction Time, Reading Comprehension, Reading Tests, Predictive Validity
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Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – International Journal of Artificial Intelligence in Education, 2022
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Classification, Reading Comprehension, Accuracy
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Davis, Bronwen J.; Evans, Mary Ann – Scientific Studies of Reading, 2021
The overlapping waves model put forth by Robert Siegler emphasizes variability, adaptive choice, and gradual change in children's problem solving. These concepts were applied to emergent reading of an alphabet book with pages of three difficulty levels. Ninety-one kindergartners completed tests of emergent literacy. Twice, about 12 weeks apart,…
Descriptors: Young Children, Kindergarten, Reading Strategies, Reading Skills
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