Purpose: Based on group development theories, the purpose of this paper is to evaluate student's team behavior during different stages of team development. Design/methodology/approach: A time-lagged survey method was used to collect data over a period of 18 weeks from 40 undergraduate students enrolled in an entrepreneurship course. Hierarchical…

Despite the importance of preparing socially responsible graduates in science, technology, engineering, and mathematics (STEM) to address the current state of poverty and inequality, very few studies in higher education have examined the development of STEM students' outcomes critical to promoting a more equitable society, typically focusing on…

Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…

Small samples are common in growth models due to financial and logistical difficulties of following people longitudinally. For similar reasons, longitudinal studies often contain missing data. Though full information maximum likelihood (FIML) is popular to accommodate missing data, the limited number of studies in this area have found that FIML…

Traditional psychometric methods have primarily been developed and applied in the context of high-stakes, large-scale testing. However, these methods are increasingly being used with classroom assessments, including progress monitoring measures where numerous test forms are administered over the course of an academic year. This article provides an…

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…

Motivation to transfer is a critical element for successful training transfer. Whereas recent research has shown that training-related factors such as training design are related to motivation to transfer, participants' affective experiences have been neglected. Based on the broaden-and-build theory of positive emotions, we conducted a multilevel…

Mindfulness in the parenting relationship has been proposed to help both parents and children better regulate stress, though this has not yet been shown at the physiological level. In this study, we tested relations between maternal mindfulness in parenting and both mothers' and their infants' hypothalamic-pituitary-adrenal (HPA) axis activity…

Multilevel modeling (MLM) is a term that encompasses many terms for statistical analyses that include variables at different levels. In education it is generally referred to as hierarchical linear modeling (HLM), linear mixed modeling (LMM), or growth curve modeling, but also includes terms such as: random-coefficient regression modeling,…

Multilevel data are a reality for many disciplines. Currently, although multiple options exist for the treatment of multilevel data, most disciplines strictly adhere to one method for multilevel data regardless of the specific research design circumstances. The purpose of this Monte Carlo simulation study is to compare several methods for the…

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…

Policy changes in the higher education landscape have given way to increased interest in the way students perceive engagement in UK higher education. This paper examines whether we can reliably distinguish between institutions and disciplines, and what key student and institutional variables are a predictor of engagement of undergraduate students.…

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…

This study examines associations between reading comprehension and perspective taking for children who read 2 fictional stories. One story is rich in social and emotional content, describing a girl making new friends and experiencing an intergroup conflict. The other story contains less social content. The study uses hierarchical linear modeling…

The use of multilevel modeling (MLM) to analyze nested data has grown in popularity over the years in the study of school psychology. However, with the increase in use, several statistical misconceptions about the technique have also proliferated. We discuss some commonly cited myths and golden rules related to the use of MLM, explain their…