With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…

Knowledge sharing is the social interaction through which individuals exchange their tacit and explicit knowledge with others. Tacit knowledge comes from experience, talent, and reflection and is difficult to formalize, transfer, and communicate to others. Conversely, explicit knowledge is formalized, codified, and easier to transmit. The study…

Sampling distributions are fundamental for statistical inference, yet their abstract nature poses challenges for students. This research investigates the development of high school students' conceptions of sampling distribution through informal significance tests with the aid of digital technology. The study focuses on how technological tools…

This dissertation examines whether and how psycholinguistic priming, and social knowledge are integrated in the identification of sociolinguistic variants. Using the English variable (ING), the alternation between -ing and -in' (e.g. thinking vs. thinkin') as a testing ground, this dissertation probes whether and how individuals utilize…

The ability to anticipate the future improves significantly across the preschool years. Whereas 5-year-olds understand that they will prefer adult items in the future, 3-year-olds indicate they will continue to prefer child items. We explore these age-related changes in future-oriented cognition by comparing children's inferences about their…

To acquire social conventional knowledge, children must distinguish between behaviors that are practiced by groups of people versus those that are practiced by individuals. How do children infer the scope (i.e., level of generality) of social behavior? Prior work has addressed this question by focusing on the cues or instruction that adults…

Principal stratification is a widely used framework for addressing post-randomization complications. After using principal stratification to define causal effects of interest, researchers are increasingly turning to finite mixture models to estimate these quantities. Unfortunately, standard estimators of mixture parameters, like the MLE, are known…

Background: We have previously presented two educational interventions aimed to diminish causal illusions and promote critical thinking. In both cases, these interventions reduced causal illusions developed in response to active contingency learning tasks, in which participants were able to decide whether to introduce the potential cause in each…

Employing a statistical modeling inspired pedagogy is becoming a widespread practice in the statistics education community. Many have incorporated the practice of formulating conjectures in their modeling-enhanced educational designs and have reported on its benefits. We further elucidate the mechanism through which students' conjecturing may be…

This article seeks to contribute to an early childhood specific conceptualisation of physics education. The article is a collaboration between a researcher in science education and two preschool teachers and revolves around the teachers' work with 2-4 year old children. Grounded in a posthumanist understanding of the world, we focus on physics…

Using simulation approaches when conducting randomization tests for comparing two groups in the context of experimental studies has been promoted as a beneficial approach for supporting student learning of statistical inference. Many researchers have suggested that the data production process in simulations for the randomization test intuitively…

The purpose of the study was to determine the association between van Hiele geometric thinking levels and circular achievement exam results for middle school students in 7th grade. The design of the study was a survey method. 157 middle school students were participated into study from three different schools in Kayseri in the spring semester of…

The purpose of this article is to illustrate the dynamic process involved in developing and utilizing a theoretical model in a mixed methods study. Specifically, I illustrate how the theoretical model can serve as the starting point in framing the study, as a lens for guiding the data collection and analysis, and as the end point in explaining the…

Statistical association is a key facet of statistical literacy: claims based on relationships between variables or ideas rooted in data are found everywhere in media and discourse. A key development in introductory statistics curricula is the use of simulation-based inference, which has shown positive outcomes for students, especially in regards…

The study reported in this article investigated the appropriateness of Mathematical Knowledge in Teaching of three pre-service primary school teachers (PSTs), teaching an informal statistical inference (ISI) lesson to primary school students. Using an ISI framework and the Knowledge Quartet framework, the presence and appropriateness of the PSTs'…