Generalization in motor control is the extent to which motor learning affects movements in situations different than those in which it originally occurred. Recent data on orofacial speech movements indicates that motor sequence learning generalizes to novel syllable sequences containing phonotactically illegal, but previously practiced, consonant…

This study investigates the simplifications used with English consonant clusters by EFL learners of Saudi Najdi Arabic dialect (a dialect spoken in the central region of Saudi Arabia). More particularly, it focused on the Saudi Najdi speakers when they pronounce English final three-consonant clusters such as /lps/ as in "helps." The…

The study examined the relationship between perfectionism (categorized by adaptive, maladaptive, and non-perfectionist clusters), substance use (i.e., drinking and smoking), and mental health in a large sample of college student (N = 841; M = 19.6 years of age) in a time-lagged design. Students were classified using a two-step cluster analysis…

This paper develops a new, broader, and more realistic lens to study (lacking) linkages between government policy and school practices. Drawing on recent work in organization theory, we advance notions on cluster of organization routines and the logic of complementarities underlying organizational change. This lens allows looking at how schools do…

The COVID-19 pandemic necessitated a quick transition to online learning widely. This study examined the contributions of the peer-to-peer learning interactions within integrated peer-assisted learning clusters to learning among students in universities in Harbin, China, and Akure, Nigeria respectively. The frequency of peer-to-peer interactions…

Objective: Our pilot study tests whether university counseling centers (UCC) can apply the concept of cluster analysis, and geospatial analysis to identify clusters of "hot spots". Participants: Study participants were university students who received services from a large mid-western UCC between August 2015 and July 2016. The study was…

Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…

Background: Research has highlighted that personal characteristics such as teachers' attitudes play an important role in the implementation of inclusive education. However, there are only a few studies that have shed empirical evidence on the relationship of attitudes and inclusive teaching approaches, such as differentiated instruction. In this…

Power in multilevel models remains an area of interest to both methodologists and substantive researchers. In two-level designs, the total sample is a function of both the number of level-2 (e.g., schools) clusters and the average number of level-1 (e.g., classrooms) units per cluster. Traditional multilevel power calculations rely on either the…

Measures of student satisfaction are commonly used to compare universities. Student satisfaction with higher education institutions in the UK is assessed yearly using the National Student Survey (NSS). The most recent revision of the NSS suggests that the satisfaction questions form eight different subscales. The aim of this research was to…

Purpose: Individual-randomized trials are the gold standard for testing the efficacy and effectiveness of drugs, devices, and behavioral interventions. Health care delivery, educational, and programmatic interventions are often complex, involving multiple levels of change and measurement precluding individual randomization for testing.…

While hierarchical linear modeling is often used in social science research, the assumption of normally distributed residuals at the individual and cluster levels can be violated in empirical data. Previous studies have focused on the effects of nonnormality at either lower or higher level(s) separately. However, the violation of the normality…

This study examined the extent to which boys fell into clusters comprised of different levels of motivations and costs. In turn, the antecedents of these clusters and associations with engagement and wellbeing outcomes were considered. Based on survey responses from 168 students across Years 5, 7 and 9 from an all-boys' school in Sydney,…

Science, technology, engineering, and math (STEM) workers need both motivation and interpersonal skills in STEM disciplines. The aims of the study were to identify clusters of adolescents who vary in math and science motivation and interpersonal skills and to explore what factors are related to membership in a high math and science motivation and…

Process data from educational assessments enhance the understanding of how students answer cognitive items. However, effectively making use of these data is challenging. We propose an approach to identify solution patterns from operation sequences and response times by generating networks from process data and defining network features that…