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Sun-Joo Cho; Goodwin Amanda; Jorge Salas; Sophia Mueller – Grantee Submission, 2025
This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item response model (EIRM) only in explaining item responses. In the specified model, called EIRM-RF, predicted values…
Descriptors: Item Response Theory, Artificial Intelligence, Statistical Analysis, Predictor Variables
Liu, Ivy; Suesse, Thomas; Harvey, Samuel; Gu, Peter Yongqi; Fernández, Daniel; Randal, John – Educational and Psychological Measurement, 2023
The Mantel-Haenszel estimator is one of the most popular techniques for measuring differential item functioning (DIF). A generalization of this estimator is applied to the context of DIF to compare items by taking the covariance of odds ratio estimators between dependent items into account. Unlike the Item Response Theory, the method does not rely…
Descriptors: Test Bias, Computation, Statistical Analysis, Achievement Tests
Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
Joshua B. Gilbert – Annenberg Institute for School Reform at Brown University, 2022
This simulation study examines the characteristics of the Explanatory Item Response Model (EIRM) when estimating treatment effects when compared to classical test theory (CTT) sum and mean scores and item response theory (IRT)-based theta scores. Results show that the EIRM and IRT theta scores provide generally equivalent bias and false positive…
Descriptors: Item Response Theory, Models, Test Theory, Computation
Joshua B. Gilbert – Annenberg Institute for School Reform at Brown University, 2024
When analyzing treatment effects on test scores, researchers face many choices and competing guidance for scoring tests and modeling results. This study examines the impact of scoring choices through simulation and an empirical application. Results show that estimates from multiple methods applied to the same data will vary because two-step models…
Descriptors: Scores, Statistical Bias, Statistical Inference, Scoring
Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2018
In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from prior studies. This supplementary report presents the results of the additional analyses addressing classification accuracy, reliability, and criterion-related validity evidence. For ease of reference, we…
Descriptors: Curriculum Based Assessment, Computation, Statistical Analysis, Classification
De Clercq-Quaegebeur, Maryse; Casalis, Séverine; Vilette, Bruno; Lemaitre, Marie-Pierre; Vallée, Louis – Journal of Learning Disabilities, 2018
A high comorbidity between reading and arithmetic disabilities has already been reported. The present study aims at identifying more precisely patterns of arithmetic performance in children with developmental dyslexia, defined with severe and specific criteria. By means of a standardized test of achievement in mathematics ("Calculation and…
Descriptors: Arithmetic, Mathematics Skills, Elementary School Students, Dyslexia
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
Lovett, Benjamin J.; Lewandowski, Lawrence J.; Potts, Heather E. – Journal of Psychoeducational Assessment, 2017
Students often feel time pressure when taking tests, and students with disabilities are sometimes given extended time testing accommodations, but little research has been done on the factors that affect students' test-taking speed. In the present study, 253 students at two colleges completed measures of processing speed, reading fluency, and…
Descriptors: Reading Fluency, Test Wiseness, Reading Skills, Standardized Tests
Tengberg, Michael – Language Testing, 2017
Reading comprehension tests are often assumed to measure the same, or at least similar, constructs. Yet, reading is not a single but a multidimensional form of processing, which means that variations in terms of reading material and item design may emphasize one aspect of the construct at the cost of another. The educational systems in Denmark,…
Descriptors: Foreign Countries, National Competency Tests, Reading Tests, Comparative Analysis
He, Lianzhen; Min, Shangchao – Language Assessment Quarterly, 2017
The first aim of this study was to develop a computer adaptive EFL test (CALT) that assesses test takers' listening and reading proficiency in English with dichotomous items and polytomous testlets. We reported in detail on the development of the CALT, including item banking, determination of suitable item response theory (IRT) models for item…
Descriptors: Computer Assisted Testing, Adaptive Testing, English (Second Language), Second Language Learning
Poorghorban, Maryam; Jabbari, Susan; Chamandar, Fatemah – Journal of Education and Learning, 2018
The purpose of this study was to understand the relationship between executive functions and mathematical abilities to determine the contribution of these functions to math performance. In this study, 30 students were selected from among 4th graders of elementary school, in two groups with low achievement in mathematics (poor) and high achievement…
Descriptors: Mathematics Achievement, Elementary School Students, Executive Function, Attention
Hua, Anh N.; Keenan, Janice M. – Scientific Studies of Reading, 2017
One of the most important findings to emerge from recent reading comprehension research is that there are large differences between tests in what they assess--specifically, the extent to which performance depends on word recognition versus listening comprehension skills. Because this research used ordinary least squares regression, it is not clear…
Descriptors: Reading Comprehension, Reading Tests, Test Interpretation, Regression (Statistics)
Conoyer, Sarah J.; Lembke, Erica S.; Hosp, John L.; Espin, Christine A.; Hosp, Michelle K.; Poch, Apryl L. – Reading & Writing Quarterly, 2017
The present study examined the technical adequacy of maze-selection tasks constructed in 2 different ways: typical versus novel. We selected distractors for each measure systematically based on rules related to the content of the passage and the part of speech of the correct choice. Participants included 262 middle school students who were…
Descriptors: Cloze Procedure, Multiple Choice Tests, Reading Tests, Reading Comprehension

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