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Mark L. Davison; David J. Weiss; Joseph N. DeWeese; Ozge Ersan; Gina Biancarosa; Patrick C. Kennedy – Journal of Educational and Behavioral Statistics, 2023
A tree model for diagnostic educational testing is described along with Monte Carlo simulations designed to evaluate measurement accuracy based on the model. The model is implemented in an assessment of inferential reading comprehension, the Multiple-Choice Online Causal Comprehension Assessment (MOCCA), through a sequential, multidimensional,…
Descriptors: Cognitive Processes, Diagnostic Tests, Measurement, Accuracy
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Gilbert, Joshua B.; Kim, James S.; Miratrix, Luke W. – Journal of Educational and Behavioral Statistics, 2023
Analyses that reveal how treatment effects vary allow researchers, practitioners, and policymakers to better understand the efficacy of educational interventions. In practice, however, standard statistical methods for addressing heterogeneous treatment effects (HTE) fail to address the HTE that may exist "within" outcome measures. In…
Descriptors: Test Items, Item Response Theory, Computer Assisted Testing, Program Effectiveness
Joshua B. Gilbert; James S. Kim; Luke W. Miratrix – Annenberg Institute for School Reform at Brown University, 2022
Analyses that reveal how treatment effects vary allow researchers, practitioners, and policymakers to better understand the efficacy of educational interventions. In practice, however, standard statistical methods for addressing Heterogeneous Treatment Effects (HTE) fail to address the HTE that may exist within outcome measures. In this study, we…
Descriptors: Item Response Theory, Models, Formative Evaluation, Statistical Inference
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Ponce, Héctor R.; Mayer, Richard E.; Loyola, María Soledad – Journal of Educational Computing Research, 2021
One of the most common technology-enhanced items used in large-scale K-12 testing programs is the drag-and-drop response interaction. The main research questions in this study are: (a) Does adding a drag-and-drop interface to an online test affect the accuracy of student performance? (b) Does adding a drag-and-drop interface to an online test…
Descriptors: Computer Assisted Testing, Test Construction, Standardized Tests, Elementary School Students
Su, Shiyang – ProQuest LLC, 2017
With the online assessment becoming mainstream and the recording of response times becoming straightforward, the importance of response times as a measure of psychological constructs has been recognized and the literature of modeling times has been growing during the last few decades. Previous studies have tried to formulate models and theories to…
Descriptors: Reading Comprehension, Item Response Theory, Models, Reaction Time
Davison, Mark L.; Biancarosa, Gina; Carlson, Sarah E.; Seipel, Ben; Liu, Bowen – Assessment for Effective Intervention, 2018
The computer-administered Multiple-Choice Online Causal Comprehension Assessment (MOCCA) for Grades 3 to 5 has an innovative, 40-item multiple-choice structure in which each distractor corresponds to a comprehension process upon which poor comprehenders have been shown to rely. This structure requires revised thinking about measurement issues…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Pilot Projects, Measurement
Davison, Mark L.; Biancarosa, Gina; Carlson, Sarah E.; Seipel, Ben; Liu, Bowen – Grantee Submission, 2018
The computer-administered Multiple-Choice Online Causal Comprehension Assessment (MOCCA) for Grades 3 to 5 has an innovative, 40-item multiple-choice structure in which each distractor corresponds to a comprehension process upon which poor comprehenders have been shown to rely. This structure requires revised thinking about measurement issues…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Pilot Projects, Measurement
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Wang, Jing-Ru; Chen, Shin-Feng – International Journal of Science and Mathematics Education, 2016
This article reports on the development of an online dynamic approach for assessing and improving students' reading comprehension of science texts--the dynamic assessment for reading comprehension of science text (DARCST). The DARCST blended assessment and response-specific instruction into a holistic learning task for grades 5 and 6 students. The…
Descriptors: Computer Assisted Testing, Reading Comprehension, Science Instruction, Grade 5
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Golovachyova, Viktoriya N.; Menlibekova, Gulbakhyt Zh.; Abayeva, Nella F.; Ten, Tatyana L.; Kogaya, Galina D. – International Journal of Environmental and Science Education, 2016
Using computer-based monitoring systems that rely on tests could be the most effective way of knowledge evaluation. The problem of objective knowledge assessment by means of testing takes on a new dimension in the context of new paradigms in education. The analysis of the existing test methods enabled us to conclude that tests with selected…
Descriptors: Expertise, Computer Assisted Testing, Student Evaluation, Knowledge Level
Foorman, Barbara R.; Petscher, Yaacov; Schatschneider, Chris – Florida Center for Reading Research, 2015
The FAIR-FS consists of computer-adaptive reading comprehension and oral language screening tasks that provide measures to track growth over time, as well as a Probability of Literacy Success (PLS) linked to grade-level performance (i.e., the 40th percentile) on the reading comprehension subtest of the Stanford Achievement Test (SAT-10) in the…
Descriptors: Reading Instruction, Screening Tests, Reading Comprehension, Oral Language
Liu, I-Fang; Ko, Hwa-Wei – International Association for Development of the Information Society, 2016
Perspectives from reading and information fields have identified similar skills belong to two different kind of literacy being online reading abilities and ICT skills. It causes a conflict between two research fields and increase difficult of integrating study results. The purpose of this study was to determine which views are suitable for…
Descriptors: Information Technology, Information Literacy, Computer Literacy, Reading Skills
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Thissen, David; And Others – Journal of Educational Measurement, 1989
An approach to scoring reading comprehension based on the concept of the testlet is described, using models developed for items in multiple categories. The model is illustrated using data from 3,866 examinees. Application of testlet scoring to multiple category models developed for individual items is discussed. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Mathematical Models
Capar, Nilufer K.; Thompson, Tony; Davey, Tim – 2000
Information provided for computerized adaptive test (CAT) simulees was compared under two conditions on two moderately correlated trait composites, mathematics and reading comprehension. The first condition used information provided by in-scale items alone, while the second condition used information provided by in- and out-of-scale items together…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Item Response Theory
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Capar, Nilufer K. – 2000
This study investigated specific conditions under which out-of-scale information improves measurement precision and the factors that influence the degree of reliability gains and the amount of bias induced in the reported scores when out-of-scale information is used. In-scale information is information that an item provides for a composite trait…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Item Response Theory
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection