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Direct linkMangino, Anthony A.; Bolin, Jocelyn H.; Finch, W. Holmes – Educational and Psychological Measurement, 2023
This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination of the prediction of student retention in the…
Descriptors: Prediction, Classification, Monte Carlo Methods, Foreign Countries
Download full textLundgren, Erik – Journal of Educational Data Mining, 2022
Response process data have the potential to provide a rich description of test-takers' thinking processes. However, retrieving insights from these data presents a challenge for educational assessments and educational data mining as they are complex and not well annotated. The present study addresses this challenge by developing a computational…
Descriptors: Problem Solving, Classification, Accuracy, Foreign Countries
Buyukatak, Emrah; Anil, Duygu – International Journal of Assessment Tools in Education, 2022
The purpose of this research was to determine classification accuracy of the factors affecting the success of students' reading skills based on PISA 2018 data by using Artificial Neural Networks, Decision Trees, K-Nearest Neighbor, and Naive Bayes data mining classification methods and to examine the general characteristics of success groups. In…
Descriptors: Classification, Accuracy, Reading Tests, Achievement Tests
Hodge, Kari J.; Morgan, Grant B. – Journal of Applied Testing Technology, 2020
The purpose of this study was to examine the use of a misspecified calibration model and its impact on proficiency classification. Monte Carlo simulation methods were employed to compare competing models when the true structure of the data is known (i.e., testlet conditions). The conditions used in the design (e.g., number of items, testlet to…
Descriptors: Item Response Theory, Accuracy, Decision Making, Classification
Chen, Jiangping; Zhang, Yang; Wei, Yueer; Hu, Jie – Research in Science Education, 2021
Science excellence is associated not only with a student's inherent aptitude but also a range of contextual factors. The objective of this paper was to identify the most important contextual characteristics of top performers in scientific literacy, by simultaneously considering factors at the PISA questionnaire-based student, family, and school…
Descriptors: Scientific Literacy, Science Achievement, High Achievement, Foreign Countries
Depren, Serpil Kilic – Journal of Baltic Science Education, 2018
Turkey is ranked at the 54th out of 72 countries in terms of science achievement in the Programme for International Student Assessment (PISA) survey conducted in 2015, which is a very big disappointment for that country. The aim of this research was to determine factors affecting Turkish students' science achievements in order to identify the…
Descriptors: Foreign Countries, Prediction, Science Achievement, Multivariate Analysis
Sun, Jianan; Xin, Tao; Zhang, Shumei; de la Torre, Jimmy – Applied Psychological Measurement, 2013
This article proposes a generalized distance discriminating method for test with polytomous response (GDD-P). The new method is the polytomous extension of an item response theory (IRT)-based cognitive diagnostic method, which can identify examinees' ideal response patterns (IRPs) based on a generalized distance index. The similarities between…
Descriptors: Item Response Theory, Cognitive Tests, Diagnostic Tests, Matrices
