This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been characterized by ambiguity and controversy. Despite the acknowledged limitations of relying solely on the chi-square test, its careful application can…

The replication crisis in social and behavioral sciences has raised concerns about the reliability and validity of empirical studies. While research in the literature has explored contributing factors to this crisis, the issues related to analytical tools have received less attention. This study focuses on a widely used analytical tool -…

Alongside the rise in online qualitative research, fraudulent representation of research participants is increasing, and current strategies to address this issue within studies of non-neurodiverse samples may exclude autistic voices. Seeking to reduce fraudulent or "scammer" participation in our focus group study, and increase data…

The growth in digitalisation has led to an increasing demand for digital skills in various job sectors. In particular, employers in scientific job areas have shown interest in candidates possessing digital competencies. This study aims to analyse the digital skill requirements for candidates in scientific job opportunities. The content analysis is…

This paper investigates how students perceive their participation in Statistics class activities. Effective pedagogical practices depend on knowing how students interact with data-related tasks. To gauge the self-reported levels of engagement, interest, and perceived relevance of Statistics activities, the study polls students in grade 12. To…

Mastery learning -- requiring students to achieve proficiency in a topic before advancing -- is a well-established and effective teaching method. Digital learning systems support this approach by personalizing content sequences, enabling students to focus on practicing topics they have not yet mastered. To achieve this, digital learning systems…

Modern learning and teaching theories often include contextualization as a central aspect. Instead of outdated atomistic thinking, scaffolding structures are offered that, in varying degrees, address different contexts. Therefore, a teaching strategy using aspects of Narrative Didactics seems to be suitable for the creation of thematic and…

Educational data mining helps the educational institutions to perform effectively and efficiently by exploiting the data related to all its stakeholders. It can help the at-risk students, develop recommendation systems and alert the students at different levels. It is beneficial to the students, educators and authorities as a whole. Deep learning…

The study aimed to determine the relationship between perceptions of management styles and trainers' motivation in the public sports institutions, and to examine the effect of management styles on job motivation. The sample of the research consists of 190 trainers, 18 of whom are women and 172 of whom are men working in the public sports…

The article explores the role that subjective evidence of causality and associated counterfactuals and counterpotentials might play in the social sciences where comparative cases are scarce. This scarcity rules out statistical inference based upon frequencies and usually invites in-depth ethnographic studies. Thus, if causality is to be preserved…

In meta-analysis based on continuous outcome, estimated means and corresponding standard deviations from the selected studies are key inputs to obtain a pooled estimate of the mean and its confidence interval. We often encounter the situation that these quantities are not directly reported in the literatures. Instead, other summary statistics are…

Ideally, a meta-analysis will summarize data from several unbiased studies. Here we look into the less than ideal situation in which contributing studies may be compromised by non-differential measurement error in the exposure variable. Specifically, we consider a meta-analysis for the association between a continuous outcome variable and one or…

The world is now facing the most severe health, social, and economic event of the last hundred years, which has made the need to acquire statistical thinking to interpret the information disseminated on a daily basis by the media clear to society. This article proposes a discussion on the role that statistics education might play in supporting the…

This article develops an analytical framework for analysing college (tertiary) statistics textbooks in terms of text accessibility by integrating the text, the reader, and the content into the framework. Five accessibility attributes of science texts were adapted to conceptualize the accessibility of statistics texts. For each accessibility…

The association or relationship between two variables, also known as covariation, has been identified as one of the fundamental statistical concepts. This article details a statistical investigation that was used to informally introduce Grade 6 students to this concept.