School climate is an essential ingredient of student well-being and academic success. Although it has been studied extensively, only a few well-validated instruments are available for the assessment of school climate. The aim of this study was to assess the factor validity and measurement invariance of the Socio-educational Environment…

In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…

This study aims to comparatively examine the resultant findings by testing the measurement invariance with structural equation modeling in cases where the missing data is handled using the expectation-maximization (EM), regression imputation, and mean substitution methods in the complete data matrix and the 5% missing data matrix that is randomly…

In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of…

School socio-economic compositional (SEC) effects have been influential in educational research predicting a range of outcomes and influencing public policy. However, some recent studies have challenged the veracity of SEC effects when applying residualised-change and fixed effects models and simulating potential measurement errors in hierarchical…

Using structural equation modeling, the study tested a theoretical model linking family background, student attributes, and college success. The sample consisted of 346 students with learning disabilities (LDs) who enrolled in college between 2004 and 2012. The data were taken from the public files of the Education Longitudinal Study: 2002. The…

This research examines the complex patterns by which distinct dimensions of critical consciousness may lead marginalized adolescents toward distinct forms of political action. Structural equation modeling was applied to nationally representative data from the Civic Education Study (2,811 ninth graders; M[subscript age] = 14.6), first establishing…

The article employs exploratory structural equation modeling (ESEM) to evaluate constructs of economic, cultural, and social capital in international large-scale assessment (LSA) data from the Progress in International Reading Literacy Study (PIRLS) 2006 and the Programme for International Student Assessment (PISA) 2009. ESEM integrates the…

In two studies (ns = 312 and 1,149) with 9- to 12-grade students in pre-International Baccalaureate (IB) and IB Diploma programs, we evaluated the reliability, factor structure, measurement invariance, and criterion-related validity of the scores from the School Attitude Assessment Survey-Revised (SAAS-R). Reliabilities of the five SAAS-R subscale…

In two studies (ns = 312 and 1149) with 9-12 grade students in pre-International Baccalaureate (IB) and IB Diploma programs, we evaluated the reliability, factor structure, measurement invariance, and criterion-related validity of the scores from the School Attitude Assessment Survey-Revised (SAAS-R; McCoach & Siegle, 2003a). Reliabilities of…

This article is a methodological-substantive synergy. Methodologically, we demonstrate latent-variable contextual models that integrate structural equation models (with multiple indicators) and multilevel models. These models simultaneously control for and unconfound measurement error due to sampling of items at the individual (L1) and group (L2)…