An increasing number of students enrolling in college engaged in Tier 2 response to intervention (RTI) academic supports in high school to supplement their secondary education. However, few researchers examined if prior experiences with RTI influence academic self-efficacy in college, a construct known to promote student retention and graduation…

This research explores the influencing factors of learning satisfaction in blended learning. Three dimensions are proposed: perceived usefulness, perceived ease of use, and learning motivation. It studied how these variables affect students' learning satisfaction. The research hypotheses are: (1) Perceived ease of use positively affects perceived…

This article examined relations among classroom activities, students' momentary control- and value-related appraisals, and students' state emotions in high school science classrooms. Throughout 10 days of instruction, high school students (N = 244) reported their state emotions and task-specific control- and value-related appraisals during science…

Role models provide youth with valuable information on how to pursue their career goals. However, whether the presence of role models is related to career development beyond social support has not been sufficiently addressed. We investigated how perceived role model influence and social support were related to goal engagement among 191 students…

In Bayesian structural equation modeling (BSEM), prior settings may affect model fit, parameter estimation, and model comparison. This simulation study was to investigate how the priors impact evaluation of relative fit across competing models. The design factors for data generation included sample sizes, factor structures, data distributions, and…

Kindergarten teacher turnover is an important topic in education, especially in East Asia. Two approaches, the disease model and positive psychology perspective, are integrated to investigate kindergarten teachers' turnover intention, and the "happy/productive teacher" hypothesis that happy teachers have lower turnover intention is…

Two alternative versions of a model of the cognitive decision-making processes of gifted and talented adolescents associated with occupational or career indecision were tested in this study. A psychometrically rigorous survey instrument was used to collect data from 664 adolescents attending three academically selective high schools in Sydney,…

Prior studies suggested close correlations among metacognition, mastery goal, and mathematical modelling competency. The present study examines the relationship between metacognition and mastery goal that may influence mathematical modelling competency. The current study employs 538 students of a mathematics education program; among these…

Longitudinal models provide researchers with a framework for investigating key aspects of change over time, but rarely is "time" itself modeled as a focal parameter of interest. Rather than treat time as purely an index of measurement occasions, the proposed Time to Criterion (T2C) growth model allows for modeling individual variability…

New technologies are changing the way we see and understand university education, with the advent of new, more flexible organization methods capable of reaching people via class formats like Small Private Online Courses (SPOCs). However, studies which have analyzed these types of courses have focused on their implementation and not on the…

An increasing number of research is focusing on L2 grit, which plays a significant role in SLA. But few studies examine the factors that affect L2 grit. This study investigates the internal predictors influencing L2 grit in Chinese college students, specifically focusing on L2 willingness to communicate (WTC), L2 anxiety and L2 joy. A structural…

Understanding latent variables is essential in EFL research. This article examines key latent variables, such as linguistic competence, cognitive ability and socio-cultural factors. These variables play a crucial role in shaping EFL learning experiences and outcomes. Researchers can use methods such as exploratory factor analysis (EFA),…

We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…

This study investigated the optimal strategy for model specification search under the latent growth modeling (LGM) framework, specifically on searching for the correct polynomial mean or average growth model when there is no a priori hypothesized model in the absence of theory. In this simulation study, the effectiveness of different starting…

Aguirre-Urreta, Rönkkö, and Marakas' (2016) paper in "Measurement: Interdisciplinary Research and Perspectives" (hereafter referred to as ARM2016) is an important and timely piece of scholarship, in that it provides strong analytic support to the growing theoretical literature that questions the underlying ideas behind causal and…