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Bulut, Okan; Xiao, Jiaying; Rodriguez, Michael C.; Gorgun, Guher – Journal of School Violence, 2020
Researchers often use self-reported instruments to collect data from students when investigating the causes and effects of bullying. When completing the instrument, students may skip items despite anonymous data collection. To interpret data accurately, researchers must identify the causes of nonresponse. This study examined the impact of item…
Descriptors: Bullying, Responses, Student Behavior, Grade 8
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Claudine C. Garcia; Genejane M. Adarlo; Anna Carissa M. San Esteban; Armando M. Guidote Jr. – International Society for Technology, Education, and Science, 2024
Despite standardized engineering and administrative controls, accidents persist in chemistry laboratories owing to the inherent complexity of the experiments. As a result, there is an increasing need to strengthen safety culture, which is built on a safety mindset and refers to an institution's knowledge, attitude, and practice (KAP) of laboratory…
Descriptors: Laboratory Safety, Chemistry, Science Instruction, Predictor Variables
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Paez, Gabriel R. – Journal of School Violence, 2018
Cyber bullying has become more pervasive as a result of advances in communication technology such as email, text messaging, chat rooms, and social media sites. Despite the growth in research on correlates associated with engagement in cyber bullying, few studies test the applicability of criminological theories to explain engagement in cyber…
Descriptors: Bullying, Computer Mediated Communication, Adolescents, Social Influences
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Rubin, Mark; Scevak, Jill; Southgate, Erica; Macqueen, Suzanne; Williams, Paul; Douglas, Heather – Journal of Diversity in Higher Education, 2018
The present study explored the interactive effect of age and gender in predicting surface and deep learning approaches. It also investigated how these variables related to degree satisfaction. Participants were 983 undergraduate students at a large public Australian university. They completed a research survey either online or on paper. Consistent…
Descriptors: Age Differences, Gender Differences, Predictor Variables, Undergraduate Students
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Yixin Chen; Jingjin Shao; Zhi Wang – Journal of Adolescence, 2025
Background: Relational victimization (RV) is a significant threat to adolescent mental health and social adaptation in China. However, its developmental characteristics during the school transition period are poorly understood. Finkelhor's developmental victimology framework provides a comprehensive lens to explore factors influencing RV's…
Descriptors: Foreign Countries, Victims, Behavior Problems, Longitudinal Studies
Michele Lee Hudson – ProQuest LLC, 2024
It's well-known that motivation is essential for learning and how well students do in school. Research also suggests that a student's motivation is likely connected to their behavior in the classroom. This study was particularly interested in understanding how different types of student motivation (e.g., wanting to learn vs. wanting to look good)…
Descriptors: Goal Orientation, Behavior Problems, High School Students, Academic Achievement
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Stiles, Beverly L.; Pan, Minqi; LaBeff, Emily E.; Wong, Newman – Research in Higher Education Journal, 2017
The purpose of this study was to provide a cross-cultural comparison between China and the United States of neutralization and academic entitlement on academic dishonesty, often referred to as college cheating. The sample consisted of 434 American Students and 180 Chinese students. Neutralization was a predictor of cheating in college for both the…
Descriptors: Foreign Countries, Ethics, Cheating, Cross Cultural Studies
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Jones, Vinetta C.; Anderson, Kenneth Alonzo; Mahmood, Mohammad; Johnson, Ayanna – Urban Education, 2023
In this article, we review factors that are associated with science, technology, engineering, and mathematics (STEM) achievement and describe the development of the Predictors of Black Outcomes in STEM Survey (PBOSS). We retain a well-fitted three-factor model (engagement, continuity, and guiding functions) and find that the PBOSS scores are…
Descriptors: Predictor Variables, African American Students, Outcomes of Education, STEM Education
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Roberson, Angela A.; McKinney, Cliff; Walker, Courtney; Coleman, Ashley – Journal of American College Health, 2018
Objective: To investigate how alcohol marketing and peers may promote college students' alcohol use through social media. Participants: College students (N = 682) aged 18 to 22 years from a large Southern university completed paper surveys in April 2014. Methods: Structural equation modeling was used to investigate relationships among variables as…
Descriptors: Social Media, Peer Influence, Alcohol Abuse, Alcohol Education
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Heller, Janet R.; Sarmiento, Ariel L. – Journal of American College Health, 2016
Objective: To determine the prevalence of risk behaviors related to cigarette use, alcohol use, nutrition, physical fitness, and sexual behavior. Participants: Participants were 1,075 students attending an urban community college during the Spring 2012 semester. Methods: Data were collected in randomly selected classes using the American College…
Descriptors: Health Behavior, Student Diversity, Urban Schools, Cultural Differences
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Fréchette-Simard, Catherine; Plante, Isabelle; Duchesne, Stéphane; Chaffee, Kathryn E. – Journal of Early Adolescence, 2023
This study aimed to examine the evolution of test anxiety during the transition to secondary school, a challenging period that includes a set of contextual factors that could potentially increase students' test anxiety. In addition, to further understand the contribution of different individual factors that might increase the susceptibility to…
Descriptors: Test Anxiety, Predictor Variables, Student Motivation, Academic Achievement
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Al Jaddou, Esam Abdullah – Educational Research and Reviews, 2018
Existential intelligence is often neglected in literature, especially at the tertiary level. Therefore this study aims to identify the degree of existential intelligence in a sample of graduate students at the World Islamic Sciences University in Jordan. In addition, the study aims to find out whether this degree differs according to a number of…
Descriptors: Graduate Students, Islamic Culture, Intelligence Differences, Intelligence
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Alasmari, Talal; Zhang, Ke – Education and Information Technologies, 2019
This article reports a two-phase study with (1) an extended framework on mobile learning technology acceptance, and (2) a mixed-method research investigating college students on the use and embracement of mobile learning technology acceptance in Saudi Arabia. The research extended the Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Foreign Countries, Handheld Devices, Telecommunications, Teaching Methods
Rodriguez, Julio Diomar – ProQuest LLC, 2016
This online study determined significant predictors of scores on the Perceived Stress Scale (PSS-10) using a convenience sample of college students (N = 403) with a mean age of 21.84 years (min 18, max 57, SD = 4.81), including 77.2% (n = 311) female (58.8% (n = 237) White, 22.1% (n = 89) Latino, and 14.4% (n = 58) African American. (Abstract…
Descriptors: Predictor Variables, Scores, Stress Variables, College Students
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Weger, Harry – International Journal of Listening, 2018
Instructor listening skill is an understudied area in instructional communication research. This study looks at teachers' active empathic listening behavior association with student incivility. Scholars recognize student incivility as a growing problem and have called for research that identifies classroom behaviors that can affect classroom…
Descriptors: Empathy, Listening Skills, Teacher Student Relationship, Age Differences
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