An inferential comprehension intervention addressing reading comprehension difficulties of middle schoolers was tested. Method Students in Grades 6 to 8 (n = 145; 53.8% female; 71% White; 24% Black) who failed their state literacy test, were randomly assigned to tutor-led, computerized, or business-as-usual [BaU] interventions. Results The…

Compelling evidence, from multiple levels of schooling, suggests that teachers' knowledge and beliefs about knowledge, knowing, and learning ("i.e.," epistemologies) play a strong role in shaping their approaches to teaching and learning. Given the importance of epistemologies in science teaching, we as researchers must pay careful…

This study compared the sentence hyperbole comprehension performance of Chinese poor readers with various levels of arithmetic proficiency. A total of 168 Chinese poor readers in Grade 1 were recruited, and their nonverbal intelligence, verbal working memory, Chinese receptive vocabulary, Chinese grammatical knowledge, character reading and…

This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…

Much of what we know about how children develop is based on survey data. In order to estimate growth across time and, thereby, better understand that development, short survey scales are typically administered at repeated timepoints. Before estimating growth, those repeated measures must be put onto the same scale. Yet, little research examines…

The digital transition in educational testing has introduced many new opportunities for technology to enhance large-scale assessments. These include the potential to collect and use log data on test-taker response processes routinely, and on a large scale. Process data has long been recognised as a valuable source of validation evidence in…

This Article analyses the effectiveness of Simulation-Based Learning Model ASEAN Meeting in enhancing critical thinking skills and academic performance compared to the conventional teaching method among 216 International Relations undergraduate students on the north coast of Colombia. A t-student test, Welch test, and the Kendall Tau correlation…

This study explored the role of word knowledge dimensions in second language (L2) word-meaning inference. College-level L2 learners (N = 121) participated in this study and completed a series of word knowledge tests including vocabulary size, word associates, morpheme-form knowledge, morpheme-meaning knowledge, morpheme discrimination, and…

It is frequently assumed that learner characteristics (e.g., reading skill, self-perceptions, optimism) account for overestimations of text comprehension, which threaten learning success. However, previous findings are heterogenous. To circumvent a key problem of previous research, we considered cognitive, metacognitive, motivational, and…

The purpose of this paper is to integrate mathematical modeling and ecology by presenting an activity involving an authentic environmental problem, which is called "Pine Processionary Caterpillars Invasion." Adopting Mathematical Modeling and Education for Climate Action (EfCA) approaches, it was aimed to encourage pre-service teachers…

The aim of the study is to investigate the level of understanding of light-related concepts of teacher candidates who took the "Basic Science in Primary School" course in the classroom teaching undergraduate program. This research is a descriptive study. The study group consists of 65 teacher candidates, 51 female, and 14 male studying…

Professional standards related to outcomes assessment call for student affairs professionals to use research to inform programming. If professionals are to rely on research to build programs that positively impact student learning outcomes, the research should be credible. We examined the quality of program effectiveness research available for…

BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…

This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally complex and often out of reach of traditional…

Recent years have seen increasing interest in incorporating resampling methods into introductory statistics courses and the high school mathematics curriculum. While the use of permutation tests for data from experiments is a step forward, the use of simple bootstrap methods for sampling situations is more problematical. This article demonstrates…