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Harrison, Scott; Kroehne, Ulf; Goldhammer, Frank; Lüdtke, Oliver; Robitzsch, Alexander – Large-scale Assessments in Education, 2023
Background: Mode effects, the variations in item and scale properties attributed to the mode of test administration (paper vs. computer), have stimulated research around test equivalence and trend estimation in PISA. The PISA assessment framework provides the backbone to the interpretation of the results of the PISA test scores. However, an…
Descriptors: Scoring, Test Items, Difficulty Level, Foreign Countries
Yu Hu – Large-scale Assessments in Education, 2024
Students in Confucian culture are typically high-achieving on international assessments such as PISA and TIMSS. To explore factors that may explain the high performance of Confucian students, the present study compared the latent subpopulations of school resources and disciplinary climate in two Confucian countries and two Anglo countries. Using…
Descriptors: Institutional Characteristics, Confucianism, High Achievement, Anglo Americans
Plamen V. Mirazchiyski; Vadim Gershteyn – Large-scale Assessments in Education, 2024
The Progress in International Reading Literacy Study (PIRLS) was conducted in paper and online reading modes in 2016 using the same samples of students in a number of countries. Differences in reading literacy scores were found in several European countries. In some countries, the differences favored the electronic reading mode. Yet in others, the…
Descriptors: Scores, Reading, Printed Materials, Electronic Books
Shelton, Alexandra; Gezer, Tuba – Large-scale Assessments in Education, 2023
Students with disabilities generally experience educational inequities around the world. The coronavirus 2019 (COVID-19) pandemic likely exacerbated these inequities in access, resources, and support as schools shut down to mitigate the spread of the disease. Although some research has explored disparities between students with and without…
Descriptors: Educational Experience, COVID-19, Pandemics, Students with Disabilities
Rožman, Mojca; Liaw, Yuan-Ling; Chen, Minge – Large-scale Assessments in Education, 2023
Background: The global outbreak of the novel COVID-19 virus presented a significant threat to students' well-being across the globe. In this paper, we construct a measure of student psychological distress related to COVID-19 disruption. We then examine the variation in students' psychological distress as a function of student demographic…
Descriptors: Psychological Patterns, Predictor Variables, COVID-19, Pandemics
Gurkan, Gulsah; Benjamini, Yoav; Braun, Henry – Large-scale Assessments in Education, 2021
Employing nested sequences of models is a common practice when exploring the extent to which one set of variables mediates the impact of another set. Such an analysis in the context of logistic regression models confronts two challenges: (1) direct comparisons of coefficients across models are generally biased due to the changes in scale that…
Descriptors: Statistical Inference, Regression (Statistics), Adults, Models
Wang, Xiaofang Sarah; Perry, Laura B.; Malpique, Anabela; Ide, Tobias – Large-scale Assessments in Education, 2023
The Programme for International Student Assessment (PISA) has become the world's largest comparative assessment of academic achievement. While hundreds of studies have examined the factors predicting student achievement in PISA, a comprehensive overview of the main predictors has yet to be completed. To address this gap, we conducted a systematic…
Descriptors: Predictor Variables, Mathematics Achievement, Achievement Tests, Foreign Countries
Wang, Ze – Large-scale Assessments in Education, 2022
In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…
Descriptors: Comparative Analysis, Evaluation Methods, Grade 8, Mathematics Achievement
Soland, James; Kuhfeld, Megan; Rios, Joseph – Large-scale Assessments in Education, 2021
Low examinee effort is a major threat to valid uses of many test scores. Fortunately, several methods have been developed to detect noneffortful item responses, most of which use response times. To accurately identify noneffortful responses, one must set response time thresholds separating those responses from effortful ones. While other studies…
Descriptors: Reaction Time, Measurement, Response Style (Tests), Reading Tests
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
Bundsgaard, Jeppe – Large-scale Assessments in Education, 2019
International large-scale assessments like international computer and information literacy study (ICILS) (Fraillon et al. in International Association for the Evaluation of Educational Achievement (IEA), 2015) provide important empirically-based knowledge through the proficiency scales, of what characterizes tasks at different difficulty levels,…
Descriptors: Test Bias, International Assessment, Test Items, Difficulty Level
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
Salchegger, Silvia; Wallner-Paschon, Christina; Bertsch, Christian – Large-scale Assessments in Education, 2021
Background: Evidence so far shows that Waldorf students are characterized by average science achievement but at the same time high socioeconomic status and high science motivation. Moreover, Waldorf education is characterized by high emphasis on inquiry-based science education (IBSE). The present study investigates if the specific…
Descriptors: Teaching Methods, Science Education, Science Achievement, Socioeconomic Status
Jin, Ying; Kang, Minsoo – Large-scale Assessments in Education, 2016
Background: The current study compared four differential item functioning (DIF) methods to examine their performances in terms of accounting for dual dependency (i.e., person and item clustering effects) simultaneously by a simulation study, which is not sufficiently studied under the current DIF literature. The four methods compared are logistic…
Descriptors: Comparative Analysis, Test Bias, Simulation, Regression (Statistics)
Nonte, Sonja; Hartwich, Lea; Willems, Ariane S. – Large-scale Assessments in Education, 2018
Background: Numerous studies have investigated the relationships between various student, home and contextual factors and reading achievement. However, the relationship between such factors and reading attitudes has been investigated far less, despite the fact that theoretical frameworks of large-scale assessments and school effectiveness research…
Descriptors: Reading Achievement, Reading Attitudes, Student Attitudes, Structural Equation Models
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