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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
Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
Seda Sakar; Sema Tan – Gifted Child Quarterly, 2025
Many articles have been published in gifted education in recent years. This study aims to provide a comprehensive review of the evolution of academic studies in gifted education. In this context, the structural topic modeling (STM) method was used to analyze the topics and trends in the field. STM is a machine learning technique that utilizes…
Descriptors: Gifted Education, Educational Trends, Educational Research, Research Methodology
Jorge N. Tendeiro; Rink Hoekstra; Tsz Keung Wong; Henk A. L. Kiers – Teaching Statistics: An International Journal for Teachers, 2025
Most researchers receive formal training in frequentist statistics during their undergraduate studies. In particular, hypothesis testing is usually rooted on the null hypothesis significance testing paradigm and its p-value. Null hypothesis Bayesian testing and its so-called Bayes factor are now becoming increasingly popular. Although the Bayes…
Descriptors: Statistics Education, Teaching Methods, Programming Languages, Bayesian Statistics
Jeff Coon; Paulina N. Silva; Alexander Etz; Barbara W. Sarnecka – Journal of Cognition and Development, 2025
Bayesian methods offer many advantages when applied to psychological research, yet they may seem esoteric to researchers who are accustomed to traditional methods. This paper aims to lower the barrier of entry for developmental psychologists who are interested in using Bayesian methods. We provide worked examples of how to analyze common study…
Descriptors: Developmental Psychology, Bayesian Statistics, Research Methodology, Psychological Studies
Mthokozisi Masumbika Ncube; Patrick Ngulube – Discover Education, 2025
Despite the increasing interest in data analytics applications within postgraduate education research, there remains a significant gap in research dedicated to exploring mixed methods research for such investigations. This study undertook to bridge this gap by exploring the application and use of mixed methods research to examine data analytics…
Descriptors: Data Analysis, Graduate Students, Educational Research, Mixed Methods Research
Hong-Yu Cheng; Feng Bin-Qian; Hao-Zhe Jiang – European Journal of Education, 2025
Many previous studies have indicated that teachers often hold a blend of conceptions of teaching, combining both teacher-oriented and student-oriented perspectives. This research extends the existing literature by investigating whether these mixed conceptions lead to dissonant combinations, and by examining how teachers perceive and manage these…
Descriptors: Teacher Educators, Teacher Attitudes, Foreign Countries, Educational Research
Mariusz Kwiatkowski – European Journal of Education, 2025
The article refers to the problem of stigmatisation, generally understood as discrediting dignity and refusing to respect individuals and groups due to their attributes, such as appearance, race, nationality, gender, age, social status, sexual orientation or religion. The article aims to determine the extent to which the use of mobile methods in…
Descriptors: Social Bias, Intervention, Human Dignity, Prevention
Rachel Thomson; Ester McGeeney – Health Education Journal, 2025
Purpose: In this paper, we outline a method for working with the long past materials of social research to forge a method for engaging and co-producing knowledge with new audiences in the present. Findings: Situated in a conceptual landscape of queer theory and feminist archive activism, through this paper we share what happened when a 30-year-old…
Descriptors: Feminism, Females, Research Methodology, Social Science Research
Göran Lövestam; Susanne Bremer-Hoffmann; Koen Jonkers; Pieter van Nes – Research Ethics, 2025
The Joint Research Centre (JRC) is the European Commission's in-house science and knowledge service, employing a substantial staff of scientists devoted to conducting research to provide independent scientific advice for EU policy. Focussed on various research areas aligned with EU priorities, the JRC excels in delivering scientific evidence for…
Descriptors: Integrity, Ethics, Scientific Research, Scientists
Da Xuan Ng; Wei Jun Marc Chao; Kai Qin Chan – Psychology Learning and Teaching, 2025
Single-subjects design has the advantage of providing detailed, individualized analyses of intervention. However, creating a tutorial for single-subject design (SSD) is challenging, and an effective version for online delivery is currently unavailable. Here, we developed an experiential SSD tutorial designed for online delivery and evaluated its…
Descriptors: Teaching Methods, Tutorial Programs, Tutoring, Undergraduate Students
Femmianne Bredewold; Simon van der Weele – Journal of Intellectual & Developmental Disability, 2025
Background: Researching the perspectives of people with profound intellectual and multiple disabilities (PIMD) presents complexity and uncertainty. Traditional research often prioritises rational, objectivist methods, which may overlook this complexity. Aims: This study aimed to develop methodological cues for researchers studying the perspectives…
Descriptors: Research Methodology, Cues, Family Influence, Caregivers
Wan Fazwani Wan Mat; Lim Hooi Lian – Journal of Education and Learning (EduLearn), 2025
This bibliometric article examines the current state of publication in the field of classroom assessment, exploring the productivity and influence of countries, institutions, and authors. A search query of on the Scopus database using the term "classroom assessment" or "classroom-based assessment" or "assessment for…
Descriptors: Alternative Assessment, Student Evaluation, Bibliometrics, Formative Evaluation
David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
Anisatuz Zahro; Muzzazinah; Murni Ramli – Journal of Education and Learning (EduLearn), 2025
Research skills are skills that accommodate technological developments in the 21st century and the competencies that students need to be successful in academic and future careers. The main aim of this review is to explore the implementation and challenges in research skills training for undergraduate students. A systematic literature review…
Descriptors: Research Training, Research Skills, Databases, Research Reports