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Showing 1 to 15 of 38 results Save | Export
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James D. Weese; Ronna C. Turner; Allison Ames; Xinya Liang; Brandon Crawford – Journal of Experimental Education, 2024
In this study a standardized effect size was created for use with the SIBTEST procedure. Using this standardized effect size, a single set of heuristics was developed that are appropriate for data fitting different item response models (e.g., 2-parameter logistic, 3-parameter logistic). The standardized effect size rescales the raw beta-uni value…
Descriptors: Test Bias, Test Items, Item Response Theory, Effect Size
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von Davier, Matthias; Bezirhan, Ummugul – Educational and Psychological Measurement, 2023
Viable methods for the identification of item misfit or Differential Item Functioning (DIF) are central to scale construction and sound measurement. Many approaches rely on the derivation of a limiting distribution under the assumption that a certain model fits the data perfectly. Typical DIF assumptions such as the monotonicity and population…
Descriptors: Robustness (Statistics), Test Items, Item Analysis, Goodness of Fit
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Andrés Christiansen; Rianne Janssen – Educational Assessment, Evaluation and Accountability, 2024
In international large-scale assessments, students may not be compelled to answer every test item: a student can decide to skip a seemingly difficult item or may drop out before the end of the test is reached. The way these missing responses are treated will affect the estimation of the item difficulty and student ability, and ultimately affect…
Descriptors: Test Items, Item Response Theory, Grade 4, International Assessment
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Chen, Yunxiao; Lee, Yi-Hsuan; Li, Xiaoou – Journal of Educational and Behavioral Statistics, 2022
In standardized educational testing, test items are reused in multiple test administrations. To ensure the validity of test scores, the psychometric properties of items should remain unchanged over time. In this article, we consider the sequential monitoring of test items, in particular, the detection of abrupt changes to their psychometric…
Descriptors: Standardized Tests, Test Items, Test Validity, Scores
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Camenares, Devin – International Journal for the Scholarship of Teaching and Learning, 2022
Balancing assessment of learning outcomes with the expectations of students is a perennial challenge in education. Difficult exams, in which many students perform poorly, exacerbate this problem and can inspire a wide variety of interventions, such as a grading curve. However, addressing poor performance can sometimes distort or inflate grades and…
Descriptors: College Students, Student Evaluation, Tests, Test Items
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Lee, Chansoon; Qian, Hong – Educational and Psychological Measurement, 2022
Using classical test theory and item response theory, this study applied sequential procedures to a real operational item pool in a variable-length computerized adaptive testing (CAT) to detect items whose security may be compromised. Moreover, this study proposed a hybrid threshold approach to improve the detection power of the sequential…
Descriptors: Computer Assisted Testing, Adaptive Testing, Licensing Examinations (Professions), Item Response Theory
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Uysal, Ibrahim; Sahin-Kürsad, Merve; Kiliç, Abdullah Faruk – Participatory Educational Research, 2022
The aim of the study was to examine the common items in the mixed format (e.g., multiple-choices and essay items) contain parameter drifts in the test equating processes performed with the common item nonequivalent groups design. In this study, which was carried out using Monte Carlo simulation with a fully crossed design, the factors of test…
Descriptors: Test Items, Test Format, Item Response Theory, Equated Scores
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Robitzsch, Alexander; Lüdtke, Oliver – Large-scale Assessments in Education, 2023
One major aim of international large-scale assessments (ILSA) like PISA is to monitor changes in student performance over time. To accomplish this task, a set of common items (i.e., link items) is repeatedly administered in each assessment. Linking methods based on item response theory (IRT) models are used to align the results from the different…
Descriptors: Educational Trends, Trend Analysis, International Assessment, Achievement Tests
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Luo, Yong; Liang, Xinya – Measurement: Interdisciplinary Research and Perspectives, 2019
Current methods that simultaneously model differential testlet functioning (DTLF) and differential item functioning (DIF) constrain the variances of latent ability and testlet effects to be equal between the focal and the reference groups. Such a constraint can be stringent and unrealistic with real data. In this study, we propose a multigroup…
Descriptors: Test Items, Item Response Theory, Test Bias, Models
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Fu, Jianbin; Qu, Yanxuan – ETS Research Report Series, 2018
Various subscore estimation methods that use auxiliary information to improve subscore accuracy and stability have been developed. This report provides a review of various subscore estimation methods described in the literature. The methodology of each method is described, then research studies on these subscore estimation methods are summarized.…
Descriptors: Scores, Evaluation Methods, Item Response Theory, Test Items
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Lu, Jing; Wang, Chun – Journal of Educational Measurement, 2020
Item nonresponses are prevalent in standardized testing. They happen either when students fail to reach the end of a test due to a time limit or quitting, or when students choose to omit some items strategically. Oftentimes, item nonresponses are nonrandom, and hence, the missing data mechanism needs to be properly modeled. In this paper, we…
Descriptors: Item Response Theory, Test Items, Standardized Tests, Responses
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Kim, Sohee; Cole, Ki Lynn; Mwavita, Mwarumba – International Journal of Testing, 2018
This study investigated the effects of linking potentially multidimensional test forms using the fixed item parameter calibration. Forms had equal or unequal total test difficulty with and without confounding difficulty. The mean square errors and bias of estimated item and ability parameters were compared across the various confounding tests. The…
Descriptors: Test Items, Item Response Theory, Test Format, Difficulty Level
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Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2017
An increasing concern of producers of educational assessments is fraudulent behavior during the assessment (van der Linden, 2009). Benefiting from item preknowledge (e.g., Eckerly, 2017; McLeod, Lewis, & Thissen, 2003) is one type of fraudulent behavior. This article suggests two new test statistics for detecting individuals who may have…
Descriptors: Test Items, Cheating, Testing Problems, Identification
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Mendoza, Arturo; Martínez, Joaquín – International Journal of Language Testing, 2023
Language placement tests (LPTs) are used to assess students' proficiency in a progressive manner in the target language. Based on their performance, students are assigned to stepped language courses. These tests are usually considered low stakes because they do not have significant consequences in students' lives, which is perhaps the reason why…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Second Language Instruction
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Bramley, Tom; Crisp, Victoria – Assessment in Education: Principles, Policy & Practice, 2019
For many years, question choice has been used in some UK public examinations, with students free to choose which questions they answer from a selection (within certain parameters). There has been little published research on choice of exam questions in recent years in the UK. In this article we distinguish different scenarios in which choice…
Descriptors: Test Items, Test Construction, Difficulty Level, Foreign Countries
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