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Tugay Kaçak; Abdullah Faruk Kiliç – International Journal of Assessment Tools in Education, 2025
Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in…
Descriptors: Factor Analysis, Monte Carlo Methods, Mathematical Models, Sample Size
Højgaard, Tomas; Hansen, Rune – International Journal of Mathematical Education in Science and Technology, 2022
This article is about utilizing the process of building and exploiting models as a framework for inquiry in mathematics education research. We introduce and discuss a model of such a process and compare this model with key methodological features of design research in mathematics education. We argue that despite several communalities, educational…
Descriptors: Mathematical Models, Mathematics Education, Educational Research, Research Methodology
Prediger, Susanne; Roesken-Winter, Bettina; Leuders, Timo – Journal of Mathematics Teacher Education, 2019
Given the challenges of scaling up content-related professional development (PD), the PD facilitators have gained increasing attention in PD research. In this mainly programmatic and structural article, we try to systematize existing research strategies which take into account the multifaceted and multi-level structure of PD research. We discuss…
Descriptors: Facilitators (Individuals), Mathematical Models, Professional Development, Research Methodology
Hidayat, Riyan; Adnan, Mazlini; Abdullah, Mohd Faizal Nizam Lee; Safrudiannur – EURASIA Journal of Mathematics, Science and Technology Education, 2022
The research presented in this article is a systematic review of the literature on the assessment of mathematical modeling in the setting of mathematics education published in the previous five years. This research has compiled the current best information from around the world to offer an overview of the assessment of mathematical modeling for…
Descriptors: Measurement, Mathematical Models, Mathematics Education, Preservice Teachers
Benzer, Ali Ihsan; Ünal, Suat – Journal of Baltic Science Education, 2021
This research examined articles about models and modelling in the context of science education in Turkey by using content analysis method. Two specific academic databases; one of which was Dergipark, a platform including the academic journals published in Turkey, and Scholar Google were examined in detail so that totally 71 articles on models and…
Descriptors: Foreign Countries, Science Education, Mathematical Models, Educational Research
Sarkar, Jyotirmoy; Rashid, Mamunur – Educational Research Quarterly, 2017
The standard deviation (SD) of a random sample is defined as the square-root of the sample variance, which is the "mean" squared deviation of the sample observations from the sample mean. Here, we interpret the sample SD as the square-root of twice the mean square of all pairwise half deviations between any two sample observations. This…
Descriptors: Sample Size, Sampling, Visualization, Geometric Concepts
Schukajlow, S.; Kaiser, G.; Stillman, G. – ZDM: The International Journal on Mathematics Education, 2018
The teaching and learning of mathematical modelling is an important research field all over the world. In this paper we present a survey of the state-of-the-art on empirical studies in this field. We analyse the development of studies focusing on cognitive aspects of the promotion of modelling, i.e. the promotion of modelling abilities resp.…
Descriptors: Mathematical Models, Mathematics Instruction, State of the Art Reviews, Educational Research
Malik, Kaleem Razzaq; Ahmad, Tauqir – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Electronic Assessment (E-Assessment) also known as computer aided assessment for the purposes involving diagnostic, formative or summative examining using data analysis. Digital assessments come commonly from social, academic, and adaptive learning in machine readable forms to deliver the machine scoring function. To achieve real-time and smart…
Descriptors: Computer Assisted Testing, Databases, Case Studies, Research Methodology
Slez, Adam; O'Connell, Heather A.; Curtis, Katherine J. – Sociological Methods & Research, 2017
Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common…
Descriptors: Data, Data Processing, Geographic Information Systems, Research Methodology
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
Çelik, H. Coskun – Educational Research and Reviews, 2017
The aim of the present study was to examine the mathematical modelling studies done between 2004 and 2015 in Turkey and to reveal their tendencies. Forty-nine studies were selected using purposeful sampling based on the term, "mathematical modelling" with Higher Education Academic Search Engine. They were analyzed with content analysis.…
Descriptors: Mathematical Models, Foreign Countries, Content Analysis, Qualitative Research
Alkas Ulusoy, Cigdem; Kayhan Altay, Mesture – International Journal of Research in Education and Science, 2017
The purpose of this study is to analyze the statistical reasoning levels of preservice elementary school teachers. With this purpose, pre-service teachers consisting of 29 groups worked on a model eliciting activity (MEA) in scope of an elective course they were taking. At the end of the class, they were asked to present their solutions while…
Descriptors: Preservice Teachers, Elementary School Teachers, Statistics, Abstract Reasoning
Sacristán, Ana Isabel, Ed.; Cortés-Zavala, José Carlos, Ed.; Ruiz-Arias, Perla Marysol, Ed. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
These proceedings are a written record of the research presented at the 42nd annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (PME-NA) held in Mazatlán, Mexico, virtually beginning May 27, 2021 and in-person June 2-6, 2021. The conference was originally scheduled to take place…
Descriptors: Mathematics Education, Teaching Methods, Cultural Differences, Educational Research
Cai, Jinfa, Ed. – National Council of Teachers of Mathematics, 2017
This volume, a comprehensive survey and critical analysis of today's issues in mathematics education, distills research to build knowledge and capacity in the field. The compendium is a valuable new resource that provides the most comprehensive evidence about what is known about research in mathematics education. The 38 chapters present five…
Descriptors: Mathematics Education, Educational Research, Educational Trends, Trend Analysis

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