When performing a meta-analysis unexplained variation above that predicted by within study variation is usually modeled by a random effect. However, in some cases, this is not sufficient to explain all the variation because of outlier or unusual studies. A previously described method is to define an outlier as a study requiring a higher random…

We investigated whether 12-month-old infants rely on information about the certainty of goal selection in order to predict observed reaching actions. Infants' goal-directed gaze shifts were recorded as they observed action sequences in a multiple-goals design. We found that 12-month-old infants exhibited gaze shifts significantly earlier when…

This study aims to determine the relationship between authenticity and subjective vitality among university students in Turkey. The study was carried out with 284 university students (164 female, 120 male, M[subscript age] = 19.91 years, SD = 1.79, and age range: 17-30). Participants completed the Turkish version of the Authenticity Scale and…

Integrating generic information about categories with knowledge of specific individuals is a critical component of successful inductive inferences. The present study tested whether children's approach to this task systematically shifts as they develop causal understandings of the mechanisms that shape individual action. In the current study, 3-and…

The use of propensity scores as a method to promote causality in studies that cannot use random assignment has increased dramatically since its original publication in 1983. While the utility of these approaches is important, the concepts underlying their use are complex. The purpose of this article is to provide a basic tutorial for conducting…

The ability to infer the emotional states of others is central to our everyday interactions. These inferences can be drawn from several different sources of information occurring simultaneously in the communication situation. Based on previous studies revealing that children pay more heed to situational context than to emotional prosody when…

Recent policy suggestions from the European Community underlined the importance of "efficiency" and "equity" in the provision of education while, at the same time, the European countries are required to provide their educational services by minimizing the amount of public money devoted to them. In this article, an empirical…

We examined processing of written irony by recording readers' eye movements while they read target phrases embedded either in ironic or non-ironic story context. After reading each story, participants responded to a text memory question and an inference question tapping into the understanding of the meaning of the target phrase. The results of…

This study aimed at developing a module in physics based on the assessment of the learning progression of students in physics and science teachers' formative assessment practices. The participants in this study were the Grade 11 students and Junior High School science teachers for the data gathering, science teachers for the design and development…

How can humans acquire relational representations that enable analogical inference and other forms of high-level reasoning? Using comparative relations as a model domain, we explore the possibility that bottom-up learning mechanisms applied to objects coded as feature vectors can yield representations of relations sufficient to solve analogy…

This article presents the author's response to Paul E. Newton's paper titled "Clarifying the Consensus Definition of Validity" ("Measurement: Interdisciplinary Research and Perspectives," 2012). Newton's paper offers an interesting and constructive discussion about how people think about validity. In this reaction, the author comments on some of…

Learning is often identified with the acquisition, encoding, or construction of new knowledge, while retrieval is often considered only a means of assessing knowledge, not a process that contributes to learning. Here, we make the case that retrieval is the key process for understanding and for promoting learning. We provide an overview of recent…

Statistical inference is problematic in the common situation in meta-analysis where the random effects model is fitted to just a handful of studies. In particular, the asymptotic theory of maximum likelihood provides a poor approximation, and Bayesian methods are sensitive to the prior specification. Hence, less efficient, but easily computed and…

Introduction: This paper explains the development and testing of a novel paper-and-pencil measure designed to support inferences of five epistemological belief dimensions based on three forms of evidence. The three evidence types are anticipated to converge at a single theoretical level, permitting better-supported inferences than existing survey…

Judea Pearl won the 2010 Rumelhart Prize in computational cognitive science due to his seminal contributions to the development of Bayes nets and causal Bayes nets, frameworks that are central to multiple domains of the computational study of mind. At the heart of the causal Bayes nets formalism is the notion of a counterfactual, a representation…