In the Christian college environment, students are encouraged to understand their vocational calling, yet quantitative research on how college students conceptualize calling is sparse. This correlational study extends the research literature significantly by empirically examining variables that affect sense of vocational calling in 270 college…

The purpose in this study was to examine the longitudinal relationships of intrinsic and extrinsic motivation with reading literacy development. In particular, the authors (a) investigated reading amount as mediator between motivation and reading literacy and (b) probed for bidirectional relationships between reading motivation and reading…

The purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect…

A Monte Carlo simulation was conducted to investigate the robustness of 4 latent variable interaction modeling approaches (Constrained Product Indicator [CPI], Generalized Appended Product Indicator [GAPI], Unconstrained Product Indicator [UPI], and Latent Moderated Structural Equations [LMS]) under high degrees of nonnormality of the observed…

Promoting self-determination has become a best practice in special education. There remains, however, a paucity of causal evidence for interventions to promote self-determination. This article presents the results of a group-randomized, modified equivalent control group design study of the efficacy of the Self-Determined Learning Model of…

The noncentral chi-square approximation of the distribution of the likelihood ratio (LR) test statistic is a critical part of the methodology in structural equation modeling. Recently, it was argued by some authors that in certain situations normal distributions may give a better approximation of the distribution of the LR test statistic. The main…

Positive and negative mood have often been considered indicators of wellbeing, affecting behavior and adjustment. This study evaluated the personal and familial predictors of positive and negative mood among 1,024 Israeli students (children with learning disabilities [LD]: 302 boys, 198 girls; children without LD: 308 boys, 216 girls). They were…

Assessing the correctness of a structural equation model is essential to avoid drawing incorrect conclusions from empirical research. In the past, the chi-square test was recommended for assessing the correctness of the model but this test has been criticized because of its sensitivity to sample size. As a reaction, an abundance of fit indexes…

A neighborhood-level model of crime that connects the central dimensions of social capital with specific forms of social control is developed. The proposed model is tested using a structural equation model that predicts changes in empirical Bayes log odds of neighborhood victimization rates between 2000 and 2001 in 41 neighborhoods in South…

In this paper, we show that for some structural equation models (SEM), the classical chi-square goodness-of-fit test is unable to detect the presence of nonlinear terms in the model. As an example, we consider a regression model with latent variables and interactions terms. Not only the model test has zero power against that type of…

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…

This study confirmed appropriate measurement model fit for a theoretical model, the STEM vocational choice (STEM-VC) model. This model identifies exogenous factors that successfully predicted, at a statistically significant level, a student's vocational choice decision to pursue a STEM degree at transfer. The student population examined for this…

Meaning in statistics is fundamentally related to contexts, which poses the challenge to teach statistics in contexts, taking everyday reasoning as the basis from which to develop statistical reasoning. I investigate how 13 teachers-as-learners in an introductory statistics course co-structure their situation models toward a shared real model that…

Teacher education courses training and participating in school-based field practice are important processes for equipping preservice teachers with technology integration ability. However, preservice teachers still lack the ability and knowledge needed to teach successfully with technology. This paper investigates the significance of, and…

The formative merits of university education are at risk of being reduced from graduateness in the sense of broad academic cultivation to professional training with a strong emphasis on employability. The difficulty in opposing this trend is the absence of a clear framework for academic cultivation. The aim of this study is to construct a model…