Hierarchical linear modeling (HLM) has become an increasingly popular multilevel method of analyzing data among nested datasets, in particular, the effect of specialized academic programming within schools. The purpose of this methodological study is to demonstrate the use of HLM to determine the effectiveness of STEM programming in an Ohio middle…

Based upon the ecological perspective and the social cognitive theory, this study examined the role of reading self-efficacy in the associations of contextual factors with reading achievement by establishing an educational ecology of reading. The model included student factors, student/home factors, student/school factors, and school factors of…

Background: Research has shown that achievement goals and reading instruction play important roles in students' reading performance. However, little is known about the specific effects of different types of achievement goals and reading instructional practices on reading performance in mainland China. Methods: This study used Programme of…

Linking score scales across different tests is considered speculative and fraught, even at the aggregate level (Feuer et al., 1999; Thissen, 2007). We introduce and illustrate validation methods for aggregate linkages, using the challenge of linking U.S. school district average test scores across states as a motivating example. We show that…

Using the nationally representative sample from the United States in the 2012 Programme for International Student Assessment (N = 7,429 students from 240 schools), the present study examined the effects of student help-seeking behaviors on eight measures of student mathematics achievement. To account for the multilevel structure of the data with…

Information and communication technology (ICT) is key to educational development. This study explores the mechanism influencing the use of ICT on students' science literacy. We utilized two-level hierarchical linear models and structural equation models to analyze data collected from the 2015 Program for International Student Assessment (PISA) in…

We are concerned with the unbiased estimation of a treatment effect in the context of non-experimental studies with grouped or multilevel data. When analyzing such data with this goal, practitioners typically include as many predictors (controls) as possible, in an attempt to satisfy ignorability of the treatment assignment. In the multilevel…

Student motivation predicts academic achievement, engagement, and related academic behaviors. Yet in spite of the importance of motivation for academic success, few studies have examined the school and national-level contextual characteristics associated with motivation. The present study uses hierarchical linear modeling to analyze a large…

Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…

This study, drawing on data from the third cycle of the Program for International Student Assessment (PISA) and employing three-level hierarchical linear modeling (HLM) as an analytic strategy, examined the relations of inquiry-based science teaching to science achievement and dispositions toward science among 170,474 15-year-old students from…

In the field of education, most of the data collected are multi-level structured. Cities, city based schools, school based classes and finally students in the classrooms constitute a hierarchical structure. Hierarchical linear models give more accurate results compared to standard models when the data set has a structure going far as individuals,…

Climate strength was first conceptualised in the organisational psychology literature as the within-group agreement on the perceptions of climate. In contrast to the deep study of climate level, climate strength has not been clarified by school climate research. The purpose of this cross-cultural study is to identify the main effect of…

The importance of motivation-related factors in shaping students' academic achievement across a range of areas, including science, has been consistently acknowledged by the existing research literature. In an effort to improve students' science achievement, many education systems put particular emphasis on the enhancement of intrinsic (i.e.…

The Woodcock-Johnson (fourth edition; WJ IV; Schrank, McGrew, & Mather, 2014a) was recently redeveloped and retains its linkage to Cattell-Horn-Carroll theory (CHC). Independent reviews (e.g., Canivez, 2017) and investigations (Dombrowski, McGill, & Canivez, 2017) of the structure of the WJ IV full test battery and WJ IV Cognitive have…

The paper extends the literature on grade repetition in Brazil by (a) describing and synthesizing the main research findings and contributions since 1940, (b) enlarging the understanding of the inequity mechanism in education, and (c) providing new findings on the effects of the school socioeconomic composition and school proportion of repeaters…