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Showing 1 to 15 of 85 results Save | Export
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Aimel Zafar; Manzoor Khan; Muhammad Yousaf – Measurement: Interdisciplinary Research and Perspectives, 2024
Subjects with initially extreme observations upon remeasurement are found closer to the population mean. This tendency of observations toward the mean is called regression to the mean (RTM) and can make natural variation in repeated data look like real change. Studies, where subjects are selected on a baseline criterion, should be guarded against…
Descriptors: Measurement, Regression (Statistics), Statistical Distributions, Intervention
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Zsuzsa Bakk; Roberto Di Mari; Jennifer Oser; Jouni Kuha – Structural Equation Modeling: A Multidisciplinary Journal, 2022
In this article, we present a two-stage estimation approach applied to multilevel latent class analysis (LCA) with covariates. We separate the estimation of the measurement and structural model. This makes the extension of the structural model computationally efficient. We investigate the robustness against misspecifications of the proposed…
Descriptors: Multivariate Analysis, Hierarchical Linear Modeling, Computation, Measurement
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S. Caviedes; G. De Gamboa; E. Badillo – Research in Mathematics Education, 2024
The present study seeks to explore the mathematical connections that 13-14-year-old secondary school students establish when solving area tasks. Emphasis is placed on different mathematical objects, and the connections between them, that allow students to successfully solve the tasks. The study follows a mixed methodology using qualitative and…
Descriptors: Mathematics Instruction, Measurement, Mathematical Formulas, Secondary School Students
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Weicong Lyu; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Data harmonization is an emerging approach to strategically combining data from multiple independent studies, enabling addressing new research questions that are not answerable by a single contributing study. A fundamental psychometric challenge for data harmonization is to create commensurate measures for the constructs of interest across…
Descriptors: Data Analysis, Test Items, Psychometrics, Item Response Theory
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Sari, Yurizka Melia; Fiangga, Shofan; El Milla, Yulia Izza; Puspaningtyas, Nicky Dwi – Journal on Mathematics Education, 2023
Proportional reasoning has been greatly influencing the development of students' mathematical abilities. Along with the area conservation ability, it helps elementary students comprehend area measurement. This exploratory study aimed to produce qualitative-descriptive data on elementary students' proportional reasoning in solving the conservation…
Descriptors: Elementary School Students, Logical Thinking, Problem Solving, Mathematics Skills
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
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Ferrara, Francesca; Pozio, Stefania – Cognition and Instruction, 2023
In this article, we examine eighth graders' incorrect responses to a specific task on a national standardized assessment of mathematics. The task asked students to write the formula for the perimeter of a given figure as a function of a variable. We focus on incorrect responses to better understand students' difficulties with the algebraic…
Descriptors: Mathematics Education, Educational Research, Standardized Tests, National Competency Tests
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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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Garimella, Umadevi; Sahin, Nesrin – Science Teacher, 2021
One way to develop a cross-curricular lesson is to select the most common mathematical formulas used in science and carefully develop and implement tasks that allow students to make connections between the mathematical representations and theoretical/physical science concepts. The slope-intercept formula, which is used to study relationships…
Descriptors: Science Instruction, Thermodynamics, Mathematical Formulas, Mathematical Concepts
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Walkup, John R.; Key, Roger A.; Duncan, Sean Patrick; Sheldon, Avery E.; Walkup, Michael A. – Physics Education, 2020
Error analysis consumes much of the focus in introductory physics labs. Catastrophic cancellation is a spike in error that occurs when subtracting two measurements of roughly equal magnitude. Often termed "loss of significance" or "subtractive cancellation," this effect can easily relegate experimental results to utter…
Descriptors: Physics, Science Instruction, Laboratory Experiments, Teaching Methods
Bailey, Paul; Emad, Ahmad; Zhang, Ting; Xie, Qingshu; Sikali, Emmanuel – American Institutes for Research, 2018
Correlation analysis has been used widely by researchers and analysts when analyzing large-scale assessment data. Limit research provided reliable methods to estimate various correlations and their standard errors with the complex sampling design and multiple plausible values taken into account. This report introduces the methodology used by the…
Descriptors: Correlation, Educational Assessment, Measurement, Statistical Bias
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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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Nicholas H. Wasserman; Keith Weber; Timothy Fukawa-Connelly; Juan Pablo Mejía-Ramos – Mathematics Teacher: Learning and Teaching PK-12, 2020
A key topic throughout school geometry is measurement--namely, distance, area, and volume. This article focuses on one key idea for finding and justifying the area of two-dimensional (2D) shapes: area-preserving transformations. Although especially pertinent to geometry teachers, this article highlights a vertical connection of ideas progressing…
Descriptors: Geometry, Calculus, Mathematical Formulas, Measurement
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El Hadi, M.; Ouariach, A.; Essaadaoui, R.; El Moussaouy, A.; Mommadi, O. – Physics Education, 2021
In this work, we have developed an alternative device composed by an Arduino board and an INA219 sensor to experimentally obtain the mathematical formulas describing the charge and discharge of the capacitor for educational proposes. We have obtained excellent agreement between theoretical prediction and experimental measurements. The INA219 DC…
Descriptors: Physics, Science Instruction, Accuracy, Reliability
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