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Ulitzsch, Esther; Domingue, Benjamin W.; Kapoor, Radhika; Kanopka, Klint; Rios, Joseph A. – Educational Measurement: Issues and Practice, 2023
Common response-time-based approaches for non-effortful response behavior (NRB) in educational achievement tests filter responses that are associated with response times below some threshold. These approaches are, however, limited in that they require a binary decision on whether a response is classified as stemming from NRB; thus ignoring…
Descriptors: Reaction Time, Responses, Behavior, Achievement Tests
Umut Atasever; Francis L. Huang; Leslie Rutkowski – Large-scale Assessments in Education, 2025
When analyzing large-scale assessments (LSAs) that use complex sampling designs, it is important to account for probability sampling using weights. However, the use of these weights in multilevel models has been widely debated, particularly regarding their application at different levels of the model. Yet, no consensus has been reached on the best…
Descriptors: Mathematics Tests, International Assessment, Elementary Secondary Education, Foreign Countries
DeCarlo, Lawrence T. – Journal of Educational Measurement, 2021
In a signal detection theory (SDT) approach to multiple choice exams, examinees are viewed as choosing, for each item, the alternative that is perceived as being the most plausible, with perceived plausibility depending in part on whether or not an item is known. The SDT model is a process model and provides measures of item difficulty, item…
Descriptors: Perception, Bias, Theories, Test Items
Tijmstra, Jesper; Bolsinova, Maria; Liaw, Yuan-Ling; Rutkowski, Leslie; Rutkowski, David – Journal of Educational Measurement, 2020
Although the root-mean squared deviation (RMSD) is a popular statistical measure for evaluating country-specific item-level misfit (i.e., differential item functioning [DIF]) in international large-scale assessment, this paper shows that its sensitivity to detect misfit may depend strongly on the proficiency distribution of the considered…
Descriptors: Test Items, Goodness of Fit, Probability, Accuracy
Hong, Jeehye; Kim, Hyunjung; Hong, Hun-Gi – Asia-Pacific Science Education, 2022
This study explored science-related variables that have an impact on the prediction of science achievement groups by applying the educational data mining (EDM) method of the random forest analysis to extract factors associated with students categorized in three different achievement groups (high, moderate, and low) in the Korean data from the 2015…
Descriptors: Science Achievement, Prediction, Teaching Methods, Science Teachers
Arikan, Serkan; van de Vijver, Fons J. R.; Yagmur, Kutlay – International Journal of Research in Education and Science, 2018
We examined Differential Item Functioning (DIF) and the size of cross-cultural performance differences in the Programme for International Student Assessment (PISA) 2012 mathematics data before and after application of propensity score matching. The mathematics performance of Indonesian, Turkish, Australian, and Dutch students on released items was…
Descriptors: Probability, Test Bias, Mathematics Instruction, Foreign Countries
Jacobs, Babs; Wolbers, Maarten H. J. – Educational Research and Evaluation, 2018
This article examines the extent to which parental socioeconomic status (SES) affects the likelihood of a child becoming a top-performing student, offering an international perspective by reporting this relationship in 31 developed countries. The impact of 3 important educational system characteristics (differentiation in terms of early tracking,…
Descriptors: Parent Background, Socioeconomic Status, Probability, Academic Achievement
Diris, Ron – Education Finance and Policy, 2017
This study analyzes the effect of age-based retention on school achievement at different stages of education. I estimate an instrumental variable model, using the predicted probability of retention given month of birth as an instrument, while simultaneously accounting for the effect of month of birth on maturity at the time of testing. The…
Descriptors: Grade Repetition, Academic Achievement, Models, Probability
Zhou, Yisu; Wang, Dan – Asia-Pacific Education Researcher, 2015
Spawned by the heightened competition in mainstream education, supplementary tutoring outside regular school time has rapidly expanded as a common practice of students seeking to gain a competitive edge in school. It is widely known that students from low socioeconomic status (SES) families lag behind their high-SES peers in academic performance.…
Descriptors: Foreign Countries, Socioeconomic Influences, Family Income, Probability
Montt, Guillermo – Comparative Education Review, 2016
Socioeconomic integration in schools has been shown to bring positive academic and nonacademic outcomes to disadvantaged students attending them. The academic benefits of integration on advantaged students are, by contrast, less evident. Effective integrated schools are those that promote disadvantaged students' outcomes yet advantaged students do…
Descriptors: Socioeconomic Status, Social Integration, Advantaged, Economically Disadvantaged
Kasapoglu, Koray – Educational Sciences: Theory and Practice, 2014
This study aims to investigate which factors are associated with Turkey's 15-year-olds' scoring above the OECD average (493) on the PISA'09 reading assessment. Collected from a total of 4,996 15-year-old students from Turkey, data were analyzed by logistic regression analysis in order to model the data of students who were split into two: (1)…
Descriptors: Secondary School Students, Achievement Tests, Foreign Countries, Reading Tests