Meta-analytic Structural Equation Modeling (MASEM) is the combination of meta-analysis (MA) and structural equation modeling (SEM). With new MASEM methodologies developed over the past few years, there is an opportunity to compare the past approaches with the new ones. The purpose of this dissertation is two-fold. First, the parameter estimates,…

Using the dual process theoretical framework (Brandtstädter & Rothermund, 2002), we examined whether the tendency to pursue goals tenaciously (TEN), in conjunction with the tendency to flexibly adjust one's preferences (FLEX), would be beneficial or detrimental for high school students' self-reported life satisfaction and achievement on tests…

Introduction: The discussion around academic achievement in the context of distance education has raised the need to develop studies that allow identifying the variables that best predict it. The goal of this study was to analyze the fit of a structural equations model that assumes that sociodemographic variables, personality traits, motivation…

As digital technology is becoming an increasingly critical component of education, learners' socioeconomic status (SES) and technology use are becoming more important in their learning. In the context of English learning, the present study modeled how learners' SES and their perception of technology use for language learning are linked to their…

This study, which took place during a 7-week middle school computing course, used structural equation modeling to examine the overall cumulative relationship between self-efficacy, interest, and prior computing experience and students' computer science learning outcomes. The findings indicated that 52% of the variance of student success, measured…

Interactions across campus have long been documented as an important component of understanding the college student experience. This is especially salient in relation to interactions with faculty and peers during a student's first year, when susceptibility for departure is high. However, it is likewise critical to understand how distinctive types…

This article is a part of a research project aimed to find out how different background variables are related to learning outcomes in school subject Sloyd as found in the national evaluation of the Finnish National Board of Education. Results from this larger research project were previously published in this journal, where pupils' readiness for…

This study explores the structural relationship among digital literacy, learning strategies, and core competencies among South Korean college students as well as the group differences between these variables depending on individual characteristics. Data analysis was conducted by correlation analysis, independent sample "t"-testing, and…

This study investigated the relationships among Chinese undergraduate English learners' motivation for learning English (i.e., students' internal choice, students' external pressure), integrative orientation (i.e., students' engagement with the target language culture or community), students' perceptions of psychological need satisfaction, English…

Previous literature emphasized the role of psychological capital (PsyCap) in fostering positive organizational and work outcomes. However, there were very scarce investigations on the benefits of PsyCap especially in non-Western academic settings. The current research addresses this gap through assessing the extent to which PsyCap can be…

Multi-domain and longitudinal studies of student achievement routinely find moderate to strong correlations across achievement domains and even stronger within-domain correlations over time. The purpose of this study is to examine the sources of these patterns analysing student achievement in 5 domains across Years 3, 5 and 7. The analysis is of…

The primary aim of this study was to investigate the correlation between game addiction and academic achievement. The secondary aim was to adapt a self-report instrument to measure game addiction. Three hundred and seventy high school students participated in this study. Data were collected via an online questionnaire that included a brief…

Online environments increasingly serve as contexts for learning. Hence, it is important to understand how student characteristics, such as student computer-mediated communication anxiety (CMCA) affects learning outcomes in mediated classrooms. To better understand how student CMCA may influence student online learning experiences, we tested a…

Student retention models were tested via structural equation modeling to examine the interrelations and predictability among socioeconomic status, psychosocial, and student success variables with a sample of 445 undergraduate students attending a large Hispanic serving institution. The proposed theoretical model included socioeconomic status…

This study examines student-teacher "racial match" for its association with Black student achievement. Multilevel structural equation modeling was used to analyze 2013 National Assessment for Educational Progress (NAEP) Grade 4 Reading Assessment data to examine interactions of teacher race and student race in their associations with…