Longitudinal research in higher education faces several challenges. Appropriate methods of analyzing competence growth of students are needed to deal with those challenges and thereby obtain valid results. In this article, a pretest-posttest-posttest multivariate multilevel IRT model for repeated measures is introduced which is designed to address…

Previous research suggests that in classes that take an integrated approach to science, technology, engineering, and math (STEM) education, students tend to engage in fulfilling goals of their engineering design challenges, but only inconsistently engage with the related math and science content. The present research examines these inconsistencies…

The study investigated whether school-level protective factors could moderate the effects cumulative risk has upon behavior difficulties in children with special educational needs and disabilities (SEND). The sample comprised 4,288 children identified with SEND: 2,660 pupils within 248 primary schools, and 1,628 pupils within 57 secondary schools.…

Memory performance in linear order reasoning tasks (A > B, B > C, C > D, etc.) shows quicker, and more accurate responses to queries on wider (AD) than narrower (AB) pairs on a hypothetical linear mental model (A -- B -- C -- D). While indicative of an analogue representation, research so far did not provide positive evidence for spatial…

The present study undertook a multilevel analysis on how school administrators' view of the diffusion of adopting technologies in instruction at school level affected teachers' acceptance of the use of these technologies in actual teaching, which, hypothetically, in turn influences students' learning effectiveness. Thirteen Taiwanese high schools…

Ratio and proportional relationships are of primary importance during the upper elementary and middle school grades (Kilpatrick, Swafford, & Findell, 2001; National Council of Teachers of Mathematics, 1989, 2000; National Mathematics Advisory Panel [NMAP], 2008). These relationships, along with the interrelated topics of fractions, decimals,…

Quantway is a Carnegie Math Pathways initiative which redesigns the content, pedagogy, and structure of traditional developmental math courses to simultaneously tackle traditional barriers of student success and support a broader range of developmental students in achieving their math potential. Specifically, Quantway is a quantitative reasoning…

Financial aid plays a critical role in college access and student success. It plays an increasingly important role as the college-going population continues to diversify and the cost of college continues to rise at both public and private institutions. In this study, the authors examined whether institutional level financial aid has any direct…

Background/context: In an era of accountability and standardization, elementary social studies is consistently losing its curricular foothold to English/language arts, math, and science instruction. Purpose: This article examines the relationship between elementary teachers' perceptions of instructional autonomy, teaching context, state testing…

Background: Research has shown that the teacher-student interpersonal relationship (TSIR) is important for student motivation. Although TSIR has received a growing interest, there are only few studies that focus on changes and links between TSIR and student academic motivation in a longitudinal fashion in non-Western contexts. Aims: This study…

A challenge associated with traditional mixture regression models (MRMs), which rest on the assumption of normally distributed errors, is determining the number of unobserved groups. Specifically, even slight deviations from normality can lead to the detection of spurious classes. The current work aims to (a) examine how sensitive the commonly…

Measures of classroom environments have become central to policy efforts that assess school and teacher quality. This has sparked a wide interest in using multilevel factor analysis to test measurement hypotheses about classroom-level variables. One approach partitions the total covariance matrix and tests models separately on the…

One approach for combining single-case data involves use of multilevel modeling. In this article, the authors use a Monte Carlo simulation study to inform applied researchers under which realistic conditions the three-level model is appropriate. The authors vary the value of the immediate treatment effect and the treatment's effect on the time…

As applications of multilevel modelling in educational research increase, researchers realize that multilevel data collected in many educational settings are often not purely nested. The most common multilevel non-nested data structure is one that involves student mobility in longitudinal studies. This article provides a methodological review of…

Higher education institutions play a key role in helping to shape students' interests and career plans; as such, student affairs practitioners should understand how the co-curricular environments in their domain contribute to students' career development. The purpose of this study is to explore how one specific co-curricular experience,…