Simulation studies are needed to investigate how many score categories are sufficient to treat ordered categorical data as continuous, particularly for bifactor models. The current simulation study aims to address such needs by investigating the performance of estimation methods in the bifactor models with ordered categorical data. Results support…

Device-based measures often rely on the positive relationship between walking cadence and metabolic equivalents of task (METs) to estimate physical activity. It is unknown whether this relationship remains during jogging/running. The study purpose was to investigate the relationships between METs, cadence, and step length during walking and…

The COVID-19 pandemic forced widespread school closures and a shift to remote learning. A growing body of research has examined the effects of remote learning on student outcomes. But the accuracy of the school modality measures used in these studies is questionable. The most common measures--based on self-reports or district website…

This study examined how linguistic complexity features contribute to second language (L2) processing effort by analyzing the Dutch English-L2 learners' eye movements from GECO and MECO, two eye-tracking corpora. Processing effort was operationalized as reading rate, mean fixation duration, regression rate, skipping rate, and mean saccade…

In health technology assessment, matching-adjusted indirect comparison (MAIC) is the most common method for pairwise comparisons that control for imbalances in baseline characteristics across trials. One of the primary challenges in MAIC is the need to properly account for the additional uncertainty introduced by the matching process. Limited…

Introduction: The current study examined the extent to which static and dynamic measures of vocabulary and word learning predicted response and identified poor responders to a vocabulary intervention. Methods: Participants were 46 preschool children in classrooms randomly assigned to complete the Story Friends intervention in two…

Purpose: Scholars are increasingly paying attention to the characteristics of effective citizenship education. The systematic use of data to maximise student learning, also called an output-driven approach, is often presented as a powerful predictor of student outcomes. However, its effectiveness has not been studied in citizenship education.…

Purpose: Motivation is a complex phenomenon that can influence a person's ability to make progress in treatment. We sought to understand how motivation is currently measured and utilized in aphasia rehabilitation by identifying treatment studies that (1) include measurement of motivation and (2) use motivation to predict treatment response.…

The highest estimates of the prevalence of commercial contract cheating in Australia come from self-report surveys, which suggest that around 2% of students engage in commercial contract cheating during their higher education studies. However, self-report surveys are limited in that participants under-report socially-undesirable behaviours. In…

In the present meta-analysis, we systematically examined the association between students' initial level of metacognition and their academic achievement at least three months later. Using multilevel meta-analysis as well as meta-analytic structural equation modelling, we analysed data from 71,171 students provided by 28 independent studies. The…

The indirect effect of perceived test importance on test performance via examinee effort is often modeled using importance and effort scores measured "after" test completion, which does not align with their theoretical temporal ordering. These retrospectively measured scores may be influenced by examinees' test performance. To…

Background: This paper develops a new method to estimate quasi-experimental evaluation models when it is necessary to control for measurement error in predictors and individual assignment to the treatment group is based on these same fallible variables. A major methodological finding of the study is that standard methods of estimating models that…

Social media use can bring negative effects to college students, such as social media addiction (SMA) and decline in academic performance. SMA may increase the perceived stress level of college students, and stress has a negative impact on academic performance, but this potential mediating role of stress has not been verified in existing studies.…

The purpose of this quantitative, correlational-predictive study was to understand if and to what extent the demographic variables Age, Gender, and Years of Experience individually or combined predict Belief in Neurological Myths among higher education faculty in the United States. The approach utilized is grounded in the ongoing study of belief…

Considering the key role of organizational commitment in teachers' professional performance, many researchers have studied the predictors of this variable in different educational institutions. However, a short glance at the pertinent literature displays that most of the previous studies on this variable have been conducted in general education…