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…

A predictive model of undergraduate graduation rate at the institutional level is important and useful to researchers, administrators, and policy makers in higher education. Graduation rate is a key indicator for higher education institutional performance. This study aimed to replicate, revise, and validate the model of Institutional Performance…

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…

Researchers have assumed that social cognitive factors play significant roles in the career development of transition youth and young adults with disabilities and those without disabilities. However, research on the influence of the career decision-making process as a primary causal agent in one's psychosocial outcomes such as perceived level of…

Studies dedicated to examination of self-regulation posit a bi-directional association between self-regulation and other variables including social connectedness, self-efficacy and self-control. However, to date, studies of this caliber have only evidenced that self-regulation is a predictor of other variables. In the present study, the factors…

Students' perceptions of the campus climate can affect their success and outcomes. Student-athletes' experiences with campus life are unique. The Student-Athletes Climate Study (SACS) is a national study of over 8,000 student athletes from all NCAA sports and divisions. The purpose of the study was to examine the influence of individual and…

Parental involvement is well documented as a significant contributor to the self-efficacy and academic achievement of students. A structural equation model of parent involvement with family socioeconomic status, student gender, parents' aspirations for their children, mathematics efficacy, and mathematics achievement was tested to examine…

Biggs' 3P (Presage-Process-Product) model, a key framework in Student Learning Theory, provides a powerful means of understanding relations between students' perceptions of the teaching and learning environment, learning strategies, and learning outcomes. While influential in higher education, fewer tests of the model in secondary education…

Structural equation modeling (SEM) is a statistical method used for testing and estimating causal relations using a combination of statistical data and qualitative causal assumptions. This paper reports two studies done by the researchers through the application of SEM. In the first study the relationship between EFL learners' affective constructs…

There was a close link between education and development. Education played a vital role in human capital formation. Academic failure from university was a problem that had became a serious concern for higher education institutions. This study presented the result of a recent investigation at the University of Gujrat that attempted to identify the…

The purpose of this study was to examine the relationship among students' characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning settings. Two hundred and fifty-six students participated in this study. All participants completed an online survey that included demographic information, the modified…

Existing research posits multiple dimensions of bullying and victimization but has not identified well-differentiated facets of these constructs that meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract…

This study develops and tests a school disorder and student achievement model based upon the school climate framework. The model was fitted to 212 New York City middle schools using the Structural Equations Modeling Analysis method. The analysis shows that the model fits the data well based upon test statistics and goodness of fit indices. The…

The purpose of this quantitative correlational research study was to investigate, describe, and measure factors influencing retention of nontraditional first and second year students at a university located in the Midwestern United States. Retention of adult students has become a major issue for many institutions of higher education and many…

The study develops a school safety and student achievement model, incorporating the concepts of student background, school structure, school culture, school disorder, and student academic achievement, and fits it to 613 elementary schools in New York City, using Structural Equations Modeling technique. The model fits the data well based on both…