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Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory
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Kuang, Huan; Sahin, Fusun – Large-scale Assessments in Education, 2023
Background: Examinees may not make enough effort when responding to test items if the assessment has no consequence for them. These disengaged responses can be problematic in low-stakes, large-scale assessments because they can bias item parameter estimates. However, the amount of bias, and whether this bias is similar across administrations, is…
Descriptors: Test Items, Comparative Analysis, Mathematics Tests, Reaction Time
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Sahin, Füsun; Colvin, Kimberly F. – Large-scale Assessments in Education, 2020
The item responses of examinees who rapid-guess, who do not spend enough time reading and engaging with an item, will not reflect their true ability on that item. Rapid-disengagement refers to rapidly selecting a response to multiple-choice items (i.e., rapid-guess), omitting items, or providing short-unrelated answers to open-ended items in an…
Descriptors: Guessing (Tests), Item Response Theory, Reaction Time, Learner Engagement
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Costa, Denise Reis; Chen, Chia-Wen – Large-scale Assessments in Education, 2023
Given the ongoing development of computer-based tasks, there has been increasing interest in modelling students' behaviour indicators from log file data with contextual variables collected via questionnaires. In this work, we apply a latent regression model to analyse the relationship between latent constructs (i.e., performance, speed, and…
Descriptors: Achievement Tests, Secondary School Students, International Assessment, Foreign Countries
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Sahin, Melek Gülsah; Öztürk, Nagihan Boztunç – International Journal of Assessment Tools in Education, 2019
New statistical methods are being added to the literature as a result of scientific developments each and every day. This study aims at investigating one of these, Maximum Likelihood Score Estimation with Fences (MLEF) method, in ca-MST. The results obtained from this study will contribute to both national and international literature since there…
Descriptors: Maximum Likelihood Statistics, Computation, International Assessment, Foreign Countries
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Hamhuis, Eva; Glas, Cees; Meelissen, Martina – British Journal of Educational Technology, 2020
Over the last two decades, the educational use of digital devices, including digital assessments, has become a regular feature of teaching in primary education in the Netherlands. However, researchers have not reached a consensus about the so-called "mode effect," which refers to the possible impact of using computer-based tests (CBT)…
Descriptors: Handheld Devices, Elementary School Students, Grade 4, Foreign Countries
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Fishbein, Bethany; Martin, Michael O.; Mullis, Ina V. S.; Foy, Pierre – Large-scale Assessments in Education, 2018
Background: TIMSS 2019 is the first assessment in the TIMSS transition to a computer-based assessment system, called eTIMSS. The TIMSS 2019 Item Equivalence Study was conducted in advance of the field test in 2017 to examine the potential for mode effects on the psychometric behavior of the TIMSS mathematics and science trend items induced by the…
Descriptors: Mathematics Achievement, Science Achievement, Mathematics Tests, Elementary Secondary Education
Mullis, Ina V. S., Ed.; Martin, Michael O., Ed.; von Davier, Matthias, Ed. – International Association for the Evaluation of Educational Achievement, 2021
TIMSS (Trends in International Mathematics and Science Study) is a long-standing international assessment of mathematics and science at the fourth and eighth grades that has been collecting trend data every four years since 1995. About 70 countries use TIMSS trend data for monitoring the effectiveness of their education systems in a global…
Descriptors: Achievement Tests, International Assessment, Science Achievement, Mathematics Achievement
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Jerrim, John – Assessment in Education: Principles, Policy & Practice, 2016
The Programme for International Assessment (PISA) is an important cross-national study of 15-year olds academic achievement. Although it has traditionally been conducted using paper-and-pencil tests, the vast majority of countries will use computer-based assessment from 2015. In this paper, we consider how cross-country comparisons of children's…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Wagemaker, Hans, Ed. – International Association for the Evaluation of Educational Achievement, 2020
Although International Association for the Evaluation of Educational Achievement-pioneered international large-scale assessment (ILSA) of education is now a well-established science, non-practitioners and many users often substantially misunderstand how large-scale assessments are conducted, what questions and challenges they are designed to…
Descriptors: International Assessment, Achievement Tests, Educational Assessment, Comparative Analysis
Lockheed, Marlaine E. – World Bank, 2015
The number of countries that regularly participate in international large-scale assessments has increased sharply over the past 15 years, with the share of countries participating in the Programme for International Student Assessment growing from one-fifth of countries in 2000 to over one-third of countries in 2015. What accounts for this…
Descriptors: Foreign Countries, Secondary School Students, Achievement Tests, International Assessment