Previous evidence has revealed that mindful individuals tend to pay more attention to specific tasks and demonstrate better work engagement. However, prior investigations commonly used cross-sectional designs to examinine the link of mindfulness to engagement in Western societies. This research explores the association of mindfulness with…

The current study sought to test hypotheses derived from the social cognitive model of career self-management (CSM; Lent & Brown, 2013) applied to the process of career exploration and decision-making. We examined how well personality traits, contextual factors, and social cognitive predictors, collectively, account for exploration behavior…

Because studies examining youth drug use often have data with a high proportion of zeros, they often do not meet the assumptions for univariate or linear regression analyses that are typically used. We demonstrate the use of zero-inflated negative binomial regression models to address excessive zeros in drug use frequency on perceptions of…

The purpose of this study was to find the differences and relationships between student responses, student character, and student attitudes towards the inquiry learning model for physics subjects. The contribution given in this study is useful if the student's response to learning is not good then there are problems in the learning taught by the…

This quantitative, correlational study aims to determine if a predictive relationship exists between teacher perceptions of Tennessee's teacher evaluation and the linear combination of teacher gender, years of experience, and school-level taught (elementary, middle, high). Although teachers have recognized the current teacher evaluation system,…

Research on the impact of the Sport Education model (SEM) in motivational terms is prolific and consistent; however, studies that jointly address the effects of the SEM on adolescents' motivational, emotional, and well-being dimensions are scarce. This study aimed to examine the effect of a multi-season SEM-based program on self-determined…

Mathematical modeling has been positioned at the forefront of many educational levels globally because modeling reinforces purposeful problem-solving skills, connects mathematics to the real-world, and makes mathematics more meaningful and relevant. This article investigated K-12 practicing teachers' knowledge and attitudes toward mathematical…

Classroom instruction became a popular topic due to its crucial role in teaching and learning activities. The teacher plays an essential role in providing quality classroom instruction. This study tries to explore the key predictors of instructional quality. This study was conducted on 283 teachers taken randomly. We used an online questionnaire…

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,…

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…

Reading research in the United States has mainly focused on early or, less frequently, middle grades and on monolingual (MN or English-only) rather than on multilingual (ML) students. To address these gaps, we focused on factors contributing to high school ML students' reading achievement. In particular, we first used machine learning to identify…

Hope is an important component that helps engage people in solving problems. Environmental educational resources addressing climate change effectively should ideally nurture hope as well as increase understanding about the issue. However, hopefulness about resolving climate change challenges is a relatively new construct in the literature and…

This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…

Purpose: We aim to identify the most accurate model for predicting adolescent (Grade 9) reading difficulties (RD) in reading fluency and reading comprehension using 17 kindergarten-age variables. Three models (neural networks, linear, and mixture) were compared based on their accuracy in predicting RD. We also examined whether the same or a…

Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…