The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…

This study examined the teacher-child interactions during shared book reading (SBR) in the domain of early mathematics. We investigated preschool teachers' and children's talk in terms of (1) communicative acts, mathematical focus, and level of abstraction (literal versus inferential), (2) the sequential relation between teacher's talk and…

Background: Executive function (EF) is significantly associated with reading comprehension outcomes, yet the interaction between EF and critical language skills (including vocabulary, morphological awareness (MA) and syntactic knowledge), across these levels of reading comprehension (literal, inferential and evaluative comprehension) has rarely…

Background/purpose: This study aims to examine the inferential statistical literacy of mathematics education students based on their cognitive styles--field-dependent (FD) and field-independent (FI). Inferential statistical literacy involves not only understanding statistical concepts such as hypothesis testing and parameter estimation but also…

Recent studies on text sequencing found learning advantages of interleaving over blocking in terms of high-level inferences. We conducted a 2 × 2 × 2 mixed factorial experiment with college students (n = 117) by manipulating text sequence (interleaved vs. blocked) and self-questioning activity while reading (spontaneous vs. prompted) between…

Research suggests exposure to misinformation continues to impact belief and reasoning, even if that misinformation has been corrected (referred to as the "Continued Influence Effect, CIE"). The proposed experiment explores two potentially important factors that may impact the effect: (a) learner age and (b) length of delay between…

It is not always clear how to adjust for control data in causal inference, balancing the goals of reducing bias and variance. We show how, in a setting with repeated experiments, Bayesian hierarchical modeling yields an adaptive procedure that uses the data to determine how much adjustment to perform. The result is a novel analysis with increased…

Background: Meta-analysis is considered to be the gold standard for evidence synthesis. It involves combining data from multiple independent sources to produce a summary estimate with improved precision. Traditionally, meta-analysis methods have been applied to a large collection of studies, and past research efforts have indicated its numerous…

The primary purpose of this study was to systematically review the literature regarding the characteristics, use, and implementation of an emerging assessment methodology, "SRL microanalysis." Forty-two studies across diverse samples, contexts, and research methodologies met inclusion criteria. The majority of studies used microanalysis…

Measurement error affects the quality of population orderings of an index and, hence, increases the misclassification of the poor and the non-poor groups and affects statistical inferences from binary regression models. Hence, the conclusions about the extent, profile, and distribution of poverty are likely to be misleading. However, the size and…

Purpose: The goal of this study was to identify some potential key cognitive and communicative processes underlying narrative discourse ability following traumatic brain injury (TBI). Specifically, this study (a) investigated the contribution of working memory (WM) and inferencing to narrative discourse comprehension and production; (b) tested key…

The purpose of this study was to compare the relative effects of word reading and story component interventions in developing reading comprehension of narrative texts with four students with mild levels of intellectual disability. A multielement design was used in this study. The findings revealed that the story component intervention was more…

Today's world is characterized by the extensive production of data in different scenarios that everyday citizens need to understand for their informed participation in society. With the increase in the availability of data in a society defined by the industrious production of data, the educational system needs to think of possibilities to bring…

Recent research suggests the benefits of supporting a progressive understanding of concepts of inference prior to the teaching of procedures and formal calculations through the study of informal statistical inference (ISI). To contribute to the growing knowledge about the early learning and teaching of statistics, particularly regarding the…

Structural equation modeling (SEM) is a statistical method widely used in educational research to investigate relationships between variables. SEM models are typically constructed based on theoretical foundations and assessed through fit indices. However, a well-fitting SEM model alone is not sufficient to verify the causal inferences underlying…