The focus of this study was the ability of adolescents and young adults with Down syndrome to infer meaning from facial expressions in the absence of emotion labels and use this inference in order to adjust their behavior. Participants with Down syndrome (N = 19, mean nonverbal mental age of 5.8 years) and 4- to 7-year-old typically developing…

Implicit learning reflects learning from experience that occurs without intention or awareness of the information acquired and is hypothesized to contribute to skill acquisition by improving performance with practice. The role of motivation has not been examined because this kind of memory is represented outside awareness. We manipulated…

The goal of this study is to explore the role of model comparison, which is a key activity of young learners' informal reasoning, with statistical models and modeling in the context of informal statistical inference. We suggest a framework to describe this reasoning (the RISM framework), and offer an illustrative case study of two-sixth graders…

Due to tremendous worldwide changes, the entrepreneurial imperative demands innovation. Therefore, companies as well as employees require innovative thinking and acting skills to cope with modern challenges. Opportunity Recognition represents the starting point for such entrepreneurial endeavours. Hence, this paper focuses on modelling Opportunity…

This dissertation presents results from research and curriculum development related to student understanding of the principle of superposition in introductory optics and upper-division quantum mechanics courses. The focus is on the extent to which students are able to relate the mathematical formalism used in physics to real-world phenomena. In…

Adults automatically infer a person's social disposition and future behavior based on the many properties they observe about how they look and sound. The goal of the current study is to explore the developmental origins of this bias. We tested whether 12-month-old infants automatically infer a character's social disposition (e.g., whether they are…

Many existing methods of statistical inference and analysis rely heavily on the assumption that the data are normally distributed. However, the normality assumption is not fulfilled when dealing with data which does not contain negative values or are otherwise skewed--a common occurrence in diverse disciplines such as finance, economics, political…

This paper introduces the philosophical work of Robert Brandom, termed inferentialism, which underpins this collection and argues that it offers rich theoretical resources for reconsidering many of the challenges and issues that have arisen in mathematics education. Key to inferentialism is the privileging of the inferential over the…

Typically, in education and psychology research, the investigator collects data and subsequently performs descriptive and inferential statistics. For example, a researcher might compute group means and use the null hypothesis significance testing procedure to draw conclusions about the populations from which the groups were drawn. We propose an…

In "Exploring the Dynamics of Willingness to Communicate (WTC) in Written Communication" (EJ1176701), Choe's preliminary case study explores an area of WTC that has not been fully addressed by WTC scholars: an analysis of WTC in written communication. When the concept of WTC was applied to the L2 context, a negative correlation between…

This article introduces a Bayesian method for testing the axioms of additive conjoint measurement. The method is based on an importance sampling algorithm that performs likelihood-free, approximate Bayesian inference using a synthetic likelihood to overcome the analytical intractability of this testing problem. This new method improves upon…

Drawing causal inference with observational studies is the central pillar of many disciplines. One sufficient condition for identifying the causal effect is that the treatment-outcome relationship is unconfounded conditional on the observed covariates. It is often believed that the more covariates we condition on, the more plausible this…

Single-case design is a repeated-measures research approach for the study of the effect of an intervention, and its importance is increasingly being recognized in education and psychology. We propose a Bayesian approach for estimating intervention effects in SCD. A Bayesian inference does not rely on large sample theories and thus is particularly…

The purpose of this study was to examine the role of the causal connectivity of the statements ("their total number of causal connections") and the modality of presentation of discourse ("oral-written") in the generation of emotion inferences by Spanish-speaking students. With this aim, we asked a group of Argentine college…

Arguably one of the most valuable tools for investigating pupil behaviour in an educational environment is systematic classroom observation. Classroom observation is often cited as having the potential to enable research of the learning process in action. Low inference classroom observation instruments are designed to record a sequence of data…