Fifth graders interpreted the book "Doll Bones" by Holly Black through visual representations from the beginning to the end of the book. Each visual representation was analyzed to determine how students responded. Most frequently, they moved to inferential ways of understanding. Students often visually interpreted emotional plot elements…

Statistical inference simply means to draw a conclusion based on information that comes from data. Error bars are the most commonly used tool for data analysis and inference in chemical engineering data studies. This work demonstrates, using common types of data collection studies, the importance of specifying the statistical model for sound…

A tension has been identified between the acquisition and participation metaphors for learning, and it is generally agreed that this tension has still not been adequately resolved. In this paper, we offer an alternative to the acquisition and participation metaphors for learning: the metaphor of mastering. Our claim is that the mastering metaphor,…

One of the major debates concerning the nature of inferential reasoning is between counterexample-based strategies such as mental model theory and statistical strategies underlying probabilistic models. The dual-strategy model, proposed by Verschueren, Schaeken, & d'Ydewalle (2005a, 2005b), which suggests that people might have access to both…

The combined usage of qualitative comparative analysis (QCA) and process tracing (PT) in set-theoretic multi-method research (MMR) holds great potential for reaching valid inferences. Established views of case selection after QCA hold that studying negative cases provides lessons about the causes of an outcome in a limited set of circumstances. In…

This article is a critical commentary on inferentialism in mathematics education. In the first part, I comment on some of the major shortcomings that inferentialists see in the theoretical underpinnings of representationalist, empiricist, and socioconstructivist mathematics education theories. I discuss in particular the criticism that…

Ontologies are emerging as best representation techniques for knowledge based context domains. The continuing need for interoperation, collaboration and effective information retrieval has lead to the creation of semantic web with the help of tools and reasoners which manages personalized information. The future of semantic web lies in an ontology…

The number of articles showing dissatisfaction with the null hypothesis statistical testing (NHST) framework has been progressively increasing over the years. Alternatives to NHST have been proposed and the Bayesian approach seems to have achieved the highest amount of visibility. In this last part of the special issue, a few alternative…

While the use of inferential statistics is a nearly universal practice in the social sciences, there are instances where its application is unnecessary and potentially misleading. This is true for a portion of research using administrative data in educational research in the United States. Surveying all research articles using administrative data…

The analysis of variance (ANOVA) F test is a commonly used method to test the mean equality among two or more populations. A critical assumption of ANOVA is homogeneity of variance (HOV), that is, the compared groups have equal variances. Although it is encouraged to test HOV as part of the regular ANOVA procedure, the efficacy of the initial HOV…

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…

Reading comprehension is the goal of reading, and making inferences is vital. Authors usually expect readers to make multiple types of inferences, including anaphoric, background knowledge, predictive, and retrospective. Common core assessments include all of these, yet instructional materials focus mostly on only one type, retrospective. This…

Causal reasoning is a fundamental cognitive process that supports a wide range of learning activities such as making predictions and inferences, explaining phenomena, and drawing conclusions. In physics learning, causal reasoning plays an important role in developing conceptual understanding and problem-solving skills. This study builds off the…

The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in Grades K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and…

This study investigated how well second language (L2) readers of English use context to identify proper names as such. It represents a first step in exploring a widely held assumption that L2 readers of English can easily identify proper names by their form and function. The study isolates the issue of function to investigate whether context alone…