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Esther Ulitzsch; Janine Buchholz; Hyo Jeong Shin; Jonas Bertling; Oliver Lüdtke – Large-scale Assessments in Education, 2024
Common indicator-based approaches to identifying careless and insufficient effort responding (C/IER) in survey data scan response vectors or timing data for aberrances, such as patterns signaling straight lining, multivariate outliers, or signals that respondents rushed through the administered items. Each of these approaches is susceptible to…
Descriptors: Response Style (Tests), Attention, Achievement Tests, Foreign Countries
Goldhammer, Frank; Hahnel, Carolin; Kroehne, Ulf; Zehner, Fabian – Large-scale Assessments in Education, 2021
International large-scale assessments such as PISA or PIAAC have started to provide public or scientific use files for log data; that is, events, event-related attributes and timestamps of test-takers' interactions with the assessment system. Log data and the process indicators derived from it can be used for many purposes. However, the intended…
Descriptors: International Assessment, Data, Computer Assisted Testing, Validity
Kirsch, Irwin; Braun, Henry – Large-scale Assessments in Education, 2020
Mounting concerns about the levels and distributions of human capital, as well as how they are associated with outcomes for individuals and societies, have contributed to an increase in the number of national and international surveys. These surveys not only examine skills among school-age and adult populations, they also facilitate evaluation of…
Descriptors: International Assessment, Computer Assisted Testing, Human Capital, Program Evaluation
Esther Ulitzsch; Steffi Pohl; Lale Khorramdel; Ulf Kroehne; Matthias von Davier – Journal of Educational and Behavioral Statistics, 2024
Questionnaires are by far the most common tool for measuring noncognitive constructs in psychology and educational sciences. Response bias may pose an additional source of variation between respondents that threatens validity of conclusions drawn from questionnaire data. We present a mixture modeling approach that leverages response time data from…
Descriptors: Item Response Theory, Response Style (Tests), Questionnaires, Secondary School Students
Han, Areum; Krieger, Florian; Borgonovi, Francesca; Greiff, Samuel – Large-scale Assessments in Education, 2023
Process data are becoming more and more popular in education research. In the field of computer-based assessments of collaborative problem solving (ColPS), process data have been used to identify students' test-taking strategies while working on the assessment, and such data can be used to complement data collected on accuracy and overall…
Descriptors: Behavior Patterns, Cooperative Learning, Problem Solving, Reaction Time
Joakim Landahl – Learning, Media and Technology, 2024
This article explores the history of digital testing technology. Using an organisation that pioneered the use of international large-scale assessments -- the International Association for the Evaluation of Educational Achievement (IEA) -- I discuss the role of computers, punched cards, answer cards and scanning machines as an example of…
Descriptors: Educational History, Measurement, Testing, Computer Assisted Testing
Wise, Steven L.; Soland,, James; Bo, Yuanchao – International Journal of Testing, 2020
Disengaged test taking tends to be most prevalent with low-stakes tests. This has led to questions about the validity of aggregated scores from large-scale international assessments such as PISA and TIMSS, as previous research has found a meaningful correlation between the mean engagement and mean performance of countries. The current study, using…
Descriptors: Foreign Countries, International Assessment, Achievement Tests, Secondary School Students
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
Matthias von Davier, Editor; Ann Kennedy, Editor – International Association for the Evaluation of Educational Achievement, 2024
The Progress in International Reading Literacy Study (PIRLS) has been monitoring international trends in reading achievement among fourth-grade students for 25 years. As a critical point in a student's education, the fourth year of schooling establishes the foundations of literacy, with reading becoming increasingly central to learning across all…
Descriptors: Reading Achievement, Foreign Countries, Grade 4, International Assessment
Avvisati, Francesco; Borgonovi, Francesca – Large-scale Assessments in Education, 2023
Written instructions seldom need to be read when playing videogames. Instead, gaming often involves early information foraging and expansive exploration behaviors. We use data from the Programme for International Student Assessment (PISA) to explore whether students who regularly play videogames (daily gamers) adopt behaviors that are typical of…
Descriptors: Video Games, Science Process Skills, Problem Solving, Discovery Learning
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
Baxter, Jacqueline – Management in Education, 2021
Dr. Tracey Burns is a Senior Analyst in the OECD's Centre for Educational Research and Innovation. She heads a portfolio of projects including Innovative Teaching for Effective Learning, 21st Century Children and Trends Shaping Education. Until recently she was also responsible for the OECD work on Governing Complex Education systems. Previous to…
Descriptors: COVID-19, Pandemics, Coping, Crisis Management
A Sequential Bayesian Changepoint Detection Procedure for Aberrant Behaviors in Computerized Testing
Jing Lu; Chun Wang; Jiwei Zhang; Xue Wang – Grantee Submission, 2023
Changepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is pivotal to properly differentiate examinees' aberrant behaviors from solution behavior to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to…
Descriptors: Bayesian Statistics, Behavior Patterns, Computer Assisted Testing, Accuracy
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
Lundgren, Erik; Eklöf, Hanna – Educational Research and Evaluation, 2020
The present study used process data from a computer-based problem-solving task as indications of behavioural level of test-taking effort, and explored how behavioural item-level effort related to overall test performance and self-reported effort. Variables were extracted from raw process data and clustered. Four distinct clusters were obtained and…
Descriptors: Computer Assisted Testing, Problem Solving, Response Style (Tests), Test Items