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Reuben S. Asempapa; Doris Lee – Discover Education, 2025
Across the world, standards and practices for preparing teachers of mathematics emphasize the importance of math modeling (MM) in developing students' mathematical thinking. The aim of this research study was to develop the Mathematical Modeling Knowledge Scale (MAMKS), capable of determining preservice teachers' (PSTs') knowledge of MM. The study…
Descriptors: Preservice Teachers, Preservice Teacher Education, Mathematics Education, Mathematics Curriculum
Kohen, Zehavit; Gharra-Badran, Yasmin – Teaching Mathematics and Its Applications, 2023
Mathematics modelling is a vital competency for students of all ages. In this study, we aim to fill the research gap about valid and reliable tools for assessing and grading mathematical modeling problems, particularly those reflecting multiple steps of the modelling cycle. We present in this paper the design of a reliable and valid assessment…
Descriptors: Scoring Rubrics, Mathematical Models, Test Construction, Test Validity
Wim J. van der Linden; Luping Niu; Seung W. Choi – Journal of Educational and Behavioral Statistics, 2024
A test battery with two different levels of adaptation is presented: a within-subtest level for the selection of the items in the subtests and a between-subtest level to move from one subtest to the next. The battery runs on a two-level model consisting of a regular response model for each of the subtests extended with a second level for the joint…
Descriptors: Adaptive Testing, Test Construction, Test Format, Test Reliability
Zumbo, Bruno D.; Kroc, Edward – Educational and Psychological Measurement, 2019
Chalmers recently published a critique of the use of ordinal a[alpha] proposed in Zumbo et al. as a measure of test reliability in certain research settings. In this response, we take up the task of refuting Chalmers' critique. We identify three broad misconceptions that characterize Chalmers' criticisms: (1) confusing assumptions with…
Descriptors: Test Reliability, Statistical Analysis, Misconceptions, Mathematical Models
Turner, Erin E.; Chen, Mei-Kuang; Roth McDuffie, Amy; Smith, James E.; Aguirre, Julia; Foote, Mary Q.; Bennett, Amy Been – School Science and Mathematics, 2021
While research suggests that mathematical modeling is accessible to elementary grade students, questions remain about how to assess modeling competency. Our research addresses this need through the systemic design and empirical testing of a Mathematical Modeling Student Assessment (MMSA) for elementary grades 3 through 5. Research questions focus…
Descriptors: Elementary School Students, Mathematical Models, Grade 3, Grade 4
Asempapa, Reuben S. – School Science and Mathematics, 2019
This article describes the development, initial validation, and psychometric evaluation of the mathematical modeling attitude scale (MMAS). Specifically, both qualitative and quantitative techniques were used to generate relevant items. The MMAS assesses K-12 teachers' attitude toward mathematical modeling and examines their experiences with…
Descriptors: Attitude Measures, Mathematical Models, Test Construction, Psychometrics
Braumoeller, Bear F. – Sociological Methods & Research, 2017
Fuzzy-set qualitative comparative analysis (fsQCA) has become one of the most prominent methods in the social sciences for capturing causal complexity, especially for scholars with small- and medium-"N" data sets. This research note explores two key assumptions in fsQCA's methodology for testing for necessary and sufficient…
Descriptors: Qualitative Research, Comparative Analysis, Social Science Research, Research Methodology
Osler, James Edward, II – Journal of Educational Technology, 2015
This monograph provides an epistemological rational for the Accumulative Manifold Validation Analysis [also referred by the acronym "AMOVA"] statistical methodology designed to test psychometric instruments. This form of inquiry is a form of mathematical optimization in the discipline of linear stochastic modelling. AMOVA is an in-depth…
Descriptors: Statistical Analysis, Test Validity, Test Reliability, Inquiry
Simin, Cai; Lam, Toh Tin – Journal of Science and Mathematics Education in Southeast Asia, 2016
This paper presents the design and development of a rubric for assessing mathematical modelling for mathematical modelling tasks at the secondary level. A rubric was crafted based on the mathematical modelling competencies synthesised by the researchers identified from four sources. The rubric was fine-tuned following an interview with three…
Descriptors: Scoring Rubrics, Test Construction, Mathematical Models, Secondary School Mathematics
Gorbunova, Tatiana N. – European Journal of Contemporary Education, 2017
The subject of the research is to build methodologies to evaluate the student knowledge by testing. The author points to the importance of feedback about the mastering level in the learning process. Testing is considered as a tool. The object of the study is to create the test system models for defence practice problems. Special attention is paid…
Descriptors: Testing, Evaluation Methods, Feedback (Response), Simulation
Hendriana, Heris; Johanto, Tri; Sumarmo, Utari – Journal on Mathematics Education, 2018
This study is a pre test-post-test experimental control group design having a goal to analyze the role of problembased learning on students' mathematical problem-solving ability (MPSA) and self-confidence (MSC). The study involves 66 tenth grade students, a mathematical problem-solving test, a mathematical self-confidence scale, and perception of…
Descriptors: Role, Problem Based Learning, Student Improvement, Mathematics Instruction
Farovik, Anja; Dupont, Laura M.; Eichenbaum, Howard – Learning & Memory, 2010
Previous studies have suggested that dorsal hippocampal areas CA3 and CA1 are both involved in representing sequences of events that compose unique episodes. However, it is uncertain whether the contribution of CA3 is restricted to spatial information, and it is unclear whether CA1 encodes order per se or contributes by an active maintenance of…
Descriptors: Statistical Bias, Intervals, Mathematical Models, Memory

Traub, Ross E.; Rowley, Glenn L. – Educational Measurement: Issues and Practice, 1991
The idea of test consistency is illustrated, with reference to two sets of test scores. A mathematical model is used to explain the relative consistency and relative inconsistency of measurements, and a means of indexing reliability is derived using the model. Practical aspects of estimating reliability are considered. (TJH)
Descriptors: Mathematical Models, Test Reliability, True Scores

Raju, Nambury S. – Educational and Psychological Measurement, 1982
A necessary and sufficient condition for a perfectly homogeneous test in the sense of Loevinger is stated and proved. Using this result, a formula for computing the maximum possible KR-20 when the test variance is assumed fixed is presented. A new index of test homogeneity is also presented and discussed. (Author/BW)
Descriptors: Mathematical Formulas, Mathematical Models, Multiple Choice Tests, Test Reliability

Huynh, Huynh – Journal of Educational Statistics, 1981
Simulated data based on five test score distributions indicate that a slight modification of the asymptotic normal theory for the estimation of the p and kappa indices in mastery testing will provide results which are in close agreement with those based on small samples from the beta-binomial distribution. (Author/BW)
Descriptors: Error of Measurement, Mastery Tests, Mathematical Models, Test Reliability