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Xiangyi Liao – ProQuest LLC, 2024
Educational research outcomes frequently rely on an assumption that measurement metrics have interval-level properties. While most investigators know enough to be suspicious of interval-level claims, and in some cases even question their findings given such doubts, there is a lack of understanding regarding the measurement conditions that create…
Descriptors: Item Response Theory, Educational Research, Measurement, Evaluation Methods
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Sean N. Weeks; Tyler L. Renshaw; Allysia A. Rainey; Aubrey Hiatt – Journal of Emotional and Behavioral Disorders, 2024
Internalizing and externalizing problems are common targets for school mental health screening. Prior research supports the interpretation of scores from the Youth Internalizing Problems Screener (YIPS) and the Youth Externalizing Problems Screener (YEPS), which were developed separately yet intended as companion measures. We extended previous…
Descriptors: Adolescents, Screening Tests, Behavior Problems, Mental Health
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Xiao, Yue; Veldkamp, Bernard; Liu, Hongyun – Educational Measurement: Issues and Practice, 2022
The action sequences of respondents in problem-solving tasks reflect rich and detailed information about their performance, including differences in problem-solving ability, even if item scores are equal. It is therefore not sufficient to infer individual problem-solving skills based solely on item scores. This study is a preliminary attempt to…
Descriptors: Problem Solving, Item Response Theory, Scores, Item Analysis
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Meijuan Li; Hongyun Liu; Mengfei Cai; Jianlin Yuan – Education and Information Technologies, 2024
In the human-to-human Collaborative Problem Solving (CPS) test, students' problem-solving process reflects the interdependency among partners. The high interdependency in CPS makes it very sensitive to group composition. For example, the group outcome might be driven by a highly competent group member, so it does not reflect all the individual…
Descriptors: Problem Solving, Computer Assisted Testing, Cooperative Learning, Task Analysis
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Caviedes, Sofía; de Gamboa, Genaro; Badillo, Edelmira – Journal on Mathematics Education, 2023
Studies that address preservice teachers' knowledge of area measurement emphasize their lack of knowledge and their tendency towards the use of formulas, without offering a body of knowledge that helps to address such difficulties. This study offers an approximation of the mathematical knowledge necessary for preservice teachers to solve area…
Descriptors: Mathematics Instruction, Problem Solving, Preservice Teachers, Pedagogical Content Knowledge
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Uglanova, Irina – Practical Assessment, Research & Evaluation, 2021
There is increased use of Bayesian networks (BN) in educational assessment. In psychometrics, BN serves as a measurement model with high flexibility, suitable to model educational assessment data with a complex structure. BN is a novel psychometric approach and not all aspects of its application are well-known. The article aims to provide the…
Descriptors: Bayesian Statistics, Educational Assessment, Psychometrics, Criticism
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Yilmaz, Ismail – International Journal of Educational Administration and Policy Studies, 2020
This study aims to use problem solving techniques in solving problems at different stages step by step. The theoretical and experimental semiotic model was developed by using the semiotic model method, which can be established with the relation of priority-recency, and an analysis of the problem solving skills of the students was made. Given that…
Descriptors: Semiotics, Problem Solving, Knowledge Level, Models
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Gál-Szabó, Zsófia; Bede-Fazekas, Ákos – International Electronic Journal of Mathematics Education, 2020
Students' solutions of enumerative combinatorial problems may be assessed along two main dimensions: the correctness of the solution and the method of enumeration. This study looks at the second dimension with reference to the Cartesian product of two sets, and at the 'odometer' combinatorial strategy defined by English (1991). Since we are not…
Descriptors: Mathematics Instruction, Problem Solving, Classification, Learning Strategies
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Zhang, Jiayi; Andres, Juliana Ma. Alexandra L.; Hutt, Stephen; Baker, Ryan S.; Ocumpaugh, Jaclyn; Mills, Caitlin; Brooks, Jamiella; Sethuraman, Sheela; Young, Tyron – International Educational Data Mining Society, 2022
Self-regulated learning (SRL) is a critical component of mathematics problem solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model, proposes that…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Solving, Metacognition
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Yusof, Mat Rahimi; Yaakob, Mohd Faiz Mohd; Nawi, Aliff; Awang, Hapini; Fuad, Dayang Rafidah Syariff M.; Rami, Aizuddin Md – International Journal of Evaluation and Research in Education, 2021
This study conducted to develop a measurement model for measuring GeoEducation in Malaysia context. This cross-sectional survey involved 245 trainee teachers in Universities and Institute Pendidikan Guru Malaysia (IPGM). The data collection was made through a set of questionnaires and analyzed using SEM-AMOS. There are four main elements measured,…
Descriptors: Environmental Education, Sustainable Development, Preservice Teachers, Measurement
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Qiao, Xin; Jiao, Hong; He, Qiwei – Journal of Educational Measurement, 2023
Multiple group modeling is one of the methods to address the measurement noninvariance issue. Traditional studies on multiple group modeling have mainly focused on item responses. In computer-based assessments, joint modeling of response times and action counts with item responses helps estimate the latent speed and action levels in addition to…
Descriptors: Multivariate Analysis, Models, Item Response Theory, Statistical Distributions
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Abulela, Mohammed A. A.; Harwell, Michael M. – Educational Sciences: Theory and Practice, 2020
Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…
Descriptors: Educational Research, Educational Researchers, Novices, Data Analysis
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Robert Schoen; Lanrong Li; Xiaotong Yang; Ahmet Guven; Claire Riddell – Society for Research on Educational Effectiveness, 2021
Many classroom-observation instruments have been developed (e.g., Gleason et al., 2017; Nava et al., 2019; Sawada et al., 2002), but a very small number of studies published in refereed journals have rigorously examined the quality of the ratings and the instrument using measurement models. For example, Gleason et al. developed a mathematics…
Descriptors: Item Response Theory, Models, Measurement, Mathematics Instruction
Beghetto, Ronald A. – ECNU Review of Education, 2019
Purpose: This article, based on an invited talk, aims to explore the relationship among large-scale assessments, creativity and personalized learning. Design/Approach/Methods: Starting with the working definition of large-scale assessments, creativity, and personalized learning, this article identified the paradox of combining these three…
Descriptors: Measurement, Creativity, Problem Solving, Artificial Intelligence
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Drengenberg, Nicholas; Bain, Alan – Higher Education Research and Development, 2017
This paper addresses the wicked problem of measuring the productivity of learning and teaching in higher education. We show how fundamental validity issues and difficulties identified in educational productivity research point to the need for a qualitatively different framework when considering the entire question. We describe the work that needs…
Descriptors: Productivity, Measurement, Higher Education, Learning
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