When the relationship between two physical variables, such as voltage and current, can be expressed as y = bx where b is a constant. b may be estimated by least squares, or by averaging the values of b obtained for each x-y data pair. We show for data gathered in an experiment, as well as through Monte Carlo simulation and mathematical analysis,…

Studies analyzing clustered data sets using both multilevel models (MLMs) and ordinary least squares (OLS) regression have generally concluded that resulting point estimates, but not the standard errors, are comparable with each other. However, the accuracy of the estimates of OLS models is important to consider, as several alternative techniques…

Cluster randomized trials involving participants nested within intact treatment and control groups are commonly performed in various educational, psychological, and biomedical studies. However, recruiting and retaining intact groups present various practical, financial, and logistical challenges to evaluators and often, cluster randomized trials…

The two prior studies that have examined associations between the sibling constellation and theory of mind in autism spectrum disorder yielded discrepant findings. Thus, efforts to better understand the sibling-theory of mind link in autism spectrum disorder are necessary. This study examined a sample of prekindergarten- and kindergarten-aged…

Over the most recent two decades, federal policy has urged high schools to embed applied science, technology, engineering, and mathematics (STEM) courses into the curriculum to reinforce concepts learned in traditional math and science classes as well as to motivate students' interests and long-term pursuits in STEM areas. While prior research has…

This study compares the performance of two approaches in analysing four-point Likert rating scales with a factorial model: the classical factor analysis (FA) and the item factor analysis (IFA). For FA, maximum likelihood and weighted least squares estimations using Pearson correlation matrices among items are compared. For IFA, diagonally weighted…

We examined the associations between preschool attendance and academic school readiness at kindergarten entry among 5-year-old children of immigrant mothers in the United States using data from a US nationally representative sample (Early Childhood Longitudinal Study-Birth Cohort, N = 1650). Comparing children who were in preschool (Head Start,…

Research suggests that homework has moderately positive impacts on student learning in brick-and-mortar schools (Marzano & Pickering, 2007), but no prior research has explored such relationships in cyber schools. We surveyed parents (n = 232) and students (n = 269) at an American cyber school, and collected student achievement data. For…

We examined the link between social comparison with friends and self-perceptions of academic competence during adolescence and how personality may play a role in this link. Participants were 193 eighth-grade students who attended a rural, mid-Atlantic middle school. We used difference scores to measure the extent to which students' nominated and…

Introductory psychology students at a technical college, 2-year community college, and a regional university rated how important textbook chapters or topics were to them now and in the future and how interesting they were. Importance and interest ratings were highly correlated, and the whole course was rated of greater importance and interest than…

This study is intended to provide researchers with empirically derived guidelines for conducting factor analytic studies in research contexts that include dichotomous and continuous levels of measurement. This study is based on the hypotheses that ordinary least squares (OLS) factor analysis will yield more accurate parameter estimates than…

In many countries the need for education systems and schools to improve and innovate has become central to the education policy of governments. School inspections are expected to play an important role in promoting such continuous improvement and to help schools and education systems more generally to consider the need for change and improvement.…

Meta-analytic Structural Equation Modeling (MASEM) has drawn interest from many researchers recently. In doing MASEM, researchers usually first synthesize correlation matrices across studies using meta-analysis techniques and then analyze the pooled correlation matrix using structural equation modeling techniques. Several multivariate methods of…

Functional magnetic resonance imaging (fMRI) was used to compare brain activity during the retrieval of coarse- and fine-grained spatial details and episodic details associated with a familiar environment. Long-time Toronto residents compared pairs of landmarks based on their absolute geographic locations (requiring either coarse or fine…

In this paper, we analyse the gender differences between the educational performance of 15-year-old children of migrants from specific regions of origin countries living in different destination countries with the Programme for International Student Assessment (PISA) 2009 wave. We study whether this gender difference of migrant pupils deviates…