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…

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.…

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…

Rapid approaches are essential when resources are limited and when findings are required in real-time to inform decisions. Limitations exist in their design and implementation, which can lead to a reduced level of trust in findings. This review sought to map the methods used across rapid evaluations and research to facilitate timeliness and…

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…

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…

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…

Along with discussing bibliometric analyses' limitations and potential biases, this paper addresses the growing need for comprehensive guidelines in evaluating bibliometric research by providing systematic frameworks for both peer reviewers and readers. While numerous publications provide guidance on implementing bibliometric methods, there is a…

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…

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…

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…

This academic article aims to present the principles of systematic design and development of educational innovations through research methodology, alongside protocols for effectiveness evaluation. The design and development of contemporary educational innovation require integration between principles of innovation and technology implementation,…

Realist evaluations, a form of theory-driven evaluation, aim to explain how, why, for whom, and to what extent a complex health intervention works (or does not work). Realist evaluations are often "methods-flexible" and encourage the appropriate use of a range of evidence types that provide explanatory value. However, there is a lack of…

Synthesizing the breadth of current research on the teaching and learning of writing, the third edition of this definitive handbook has more than 90% new content, reflecting the growth and dynamism of the field. Leading scholars--including many international voices--review major theories, developmental issues, and instructional approaches for…

This review addresses the current knowledge on inclusive education suggesting that many studies focus on predetermined groups of disadvantaged learners . This review aims 1) to map the research on inclusive education for all (IEFA) and 2) to assess the consistency of studies in their approach to inclusive education (IE), research methodology and…