Testing item fit is central in item response theory (IRT) modeling, since a good fit is necessary to draw valid inferences from estimated model parameters. "Infit" and "outfit" fit statistics, widespread indices for detecting deviations from the Rasch model, are affected by data factors, such as sample size. Consequently, the…

When fitting unidimensional item response theory (IRT) models, the population distribution of the latent trait ([theta]) is often assumed to be normally distributed. However, some psychological theories would suggest a nonnormal [theta]. For example, some clinical traits (e.g., alcoholism, depression) are believed to follow a positively skewed…

This dissertation investigates whether social identity information modulates the interpretation of non-entailed clausal complement content (CC) in utterances of sentences such as (1): (1) Ken didn't hear that the minimum wage is too high. The focus of this dissertation is the listener 's inference that the speaker is committed to the truth of the…

A Monte Carlo simulation was performed to compare methods for handling missing data in growth mixture models. The methods considered in the current study were (a) a fully Bayesian approach using a Gibbs sampler, (b) full information maximum likelihood using the expectation-maximization algorithm, (c) multiple imputation, (d) a two-stage multiple…

Inter-rater reliability (IRR), which is a prerequisite of high-quality ratings and assessments, may be affected by contextual variables, such as the rater's or ratee's gender, major, or experience. Identification of such heterogeneity sources in IRR is important for the implementation of policies with the potential to decrease measurement error…

The technology company OpenAI released a generative artificial intelligence program that can create detailed written responses, write essays, poetry, code, and much more, in response to short written prompts. It had been years in the making and had been exposed to over 40 gigabytes of text, webpages, images, and other content. ChatGPT is a large…

Background: The present study aimed to examine and compare the relative contributions of three facets of metalinguistic awareness (phonological awareness, orthographic awareness and morphological awareness) and lexical inferencing ability to Chinese reading comprehension across upper elementary grades. Method: Fifty-three third graders, 79 fourth…

Since prior research has mostly focused on children, less is known about how autistic adults and adults with sub-clinical autistic traits interpret pragmatically complex social situations and the kind of narrative discourse they produce. 32 autistic young adults, 18 young adults with sub-clinical autistic traits and 34 non-autistic young adults…

The purpose of this study was to examine the effects of extended vocabulary instruction on the expressive vocabulary of two third-grade students with vocabulary deficits. According to the Common Core State Standards Initiative (n.d.), students in third grade should be able to determine the meaning of unknown and multiple-meaning words and phrases…

It was aimed to reveal the informal statistical inferences of primary school students on the concept of variability. A phenomenographic research approach was adopted. A task was adapted and used as a data collection tool. Clinical interviews were conducted with 20 primary school students from each grade level. Data were analyzed within the context…

This study examined the joint effects of social comparisons (comparisons of one's own achievements with those of others), dimensional comparisons (comparisons of one's own achievements in different domains), and temporal comparisons (comparisons of one's own achievements across time) on students' ability assessments. For the first time a…

With the increase in the development of science and technology, contemporary technological requirements are seen as rising needs of the countries. In this regard, technology can be considered both a means and an end to reach science. Since gifted students are more prone to computer technologies due to their cognitive structures, instructional…

The empirical study of word learning is driven by a theoretical debate between lexical constraint and social-pragmatic accounts; it has still not been determined which of these two best explains the evidence. We investigated whether the markedness of a pointing accompanying a verbal reference could help to learn a part name. Participants were 35…

Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…

One part of COVID-19's staggering impact on education has been to suspend or fundamentally alter ongoing education research projects. This article addresses how to analyze the simple but fundamental example of a multi-cohort study in which student assessment data for the final cohort are missing because schools were closed, learning was virtual,…