Recently, researchers have used multilevel models for estimating intervention effects in single-case experiments that include replications across participants (e.g., multiple baseline designs) or for combining results across multiple single-case studies. Researchers estimating these multilevel models have primarily relied on restricted maximum…

A nonconverged Markov chain can potentially lead to invalid inferences about model parameters. The purpose of this study was to assess the effect of a nonconverged Markov chain on the estimation of parameters for mixture item response theory models using a Markov chain Monte Carlo algorithm. A simulation study was conducted to investigate the…

The ability to make inferences is essential for effective language comprehension. While inferencing training benefits reading comprehension in school-aged children (see Elleman, 2017, for a review), we do not yet know whether it is beneficial to support the development of these skills prior to school entry. In a pre-registered randomised…

Reaction mechanisms are a core component of organic chemistry. Being able to handle these mechanisms is a central skill for students in this discipline. Diagnosing and fostering mechanistic reasoning is hence an important branch of chemistry education research. When it comes to reasoning about mechanisms, students often experience difficulties…

Research on monolingual children has shown that listening comprehension is predicted by a range of language and cognitive skills; less is known about predictors of listening comprehension in bilingual children and about the role of language input. This study presents longitudinal data on predictors of English listening comprehension in 100…

The lack of research exploring the influence of dynamic visual narratives on inference skills prompted the present study with an aim to profile the inference skills in school children between the ages of 6 years and 9 years 11 months using dynamic visual narratives. A total of 80 participants were considered for the study. An animated story was…

Generic skills are fundamental skills needed to complete a job or project that can be grown when students go through the learning process. This study aims to analyze and identify students' general skills in terms of scientific literacy through research-based learning methods in the Science Application course. The research uses a quantitative…

Young children excel at pragmatic inferences known as ad hoc quantity implicatures: they can infer, for example, that a speaker who said "the card with apples" meant the card with "nothing but" apples. However, it is not known whether children take into account the speaker's perspective in deriving such inferences, as adults…

This paper presents an educational setting that attempts to enhance students' understanding and facilitate students' linking-inferencing skills. The proposed setting is structured in three stages. The first stage intends to explore students' prior knowledge. The second stage aims to help students tackle their difficulties and misconceptions and…

Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…

Objective: The aim of this study was to investigate the impact of illiteracy on physical health and mental health. Design: Matching methods (nearest neighbour matching, Mahalanobis metric matching, and propensity score matching). Setting: Elderly people at least 65 years old in 22 provinces of China. Methods: The analysis used data from Chinese…

Although recent studies have used the Classroom Observation Protocol for Undergraduate STEM (COPUS) to make claims about faculty reform, important questions remain: How should COPUS measures be situated within existing reform frameworks? Is there a universal sampling intensity that allows for valid inferences about the frequency of…

Employing nested sequences of models is a common practice when exploring the extent to which one set of variables mediates the impact of another set. Such an analysis in the context of logistic regression models confronts two challenges: (1) direct comparisons of coefficients across models are generally biased due to the changes in scale that…

The purpose of this article is to present an analysis to identify the reasoning processes and representations that preschool students develop about sound based on the inferential-representational approach. Participants were 18 preschool students between the ages of four and five attending three rural schools located in the Sierra Norte of Puebla,…

Planned missing data designs allow researchers to have highly-powered studies by testing only a fraction of the traditional sample size. In two-method measurement planned missingness designs, researchers assess only part of the sample on a high-quality expensive measure, while the entire sample is given a more inexpensive, but biased measure. The…