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Hawk, Nathan A.; Vongkulluksn, Vanessa W.; Xie, Kui; Bowman, Margaret A. – Journal of Computer Assisted Learning, 2021
Prior studies have focused on general technology use and technology use in domain-general applications and quantity of technology use. Recent evidence suggests that investigations should consider how technology is used in more contextually specific ways, including how technology is used for various cognitive tasks in specific classrooms. The…
Descriptors: Cognitive Processes, High School Students, Technology Uses in Education, Influences
Keyes, Tasha Seneca; Heath, Ryan D. – School Community Journal, 2023
Past research suggests that a sense of belonging to a community is developmentally important for adolescents and affects their engagement in school, especially during the transition to high school. However, little research examines the teaching practices that simultaneously foster classroom belonging and behavioral engagement to create a classroom…
Descriptors: Teaching Methods, Student Attitudes, Learner Engagement, Classroom Environment
Kathy L. Malone; Anita Schuchardt – European Journal of Science and Mathematics Education, 2023
Due to the increased use of scientific models and modelling in K-12 education, there is a need to uncover its effects on students over time. Prior research has shown that the use of scientific modelling in K-12 classes is associated with improved conceptual knowledge and problem-solving skills. However, few studies have explicitly tested the…
Descriptors: STEM Education, Hierarchical Linear Modeling, Modeling (Psychology), Teaching Methods
Neba Afanwi Nfonsang – ProQuest LLC, 2022
This study used a propensity score approach to estimate treatment effects in a multilevel setting. The propensity score approach involves the estimation of propensity scores for covariate balancing and the estimation of treatment effects. This study aimed at understanding how propensity scores estimated through a simple logistic regression compare…
Descriptors: Hierarchical Linear Modeling, Scores, High School Students, Grade 10
Wang, Cixin; La Salle, Tamika; Wu, Chaorong; Liu, Jia Li – School Psychology Review, 2022
Support from parents and school staff are important for adolescent well-being. However, few studies have examined the role of parental involvement and adult social support at school on high school students' mental health, specifically, suicidal thoughts and behaviors (STBs). Data were collected from 362,980 high school students (51.85% female)…
Descriptors: Parent Participation, Adults, Social Support Groups, Suicide
Hennessey, Maeghan N.; Herron, Jason P.; Martin, James E.; Herron, Marsha D. – Exceptionality, 2020
Many studies suggest students' socioeconomic status (SES) predicts academic performance as well as employment and further education outcomes for students both with and without disabilities. The extent to which SES affects the precedents for those outcomes, or the non-academic transition skills identified as being predictive of those post-school…
Descriptors: Socioeconomic Status, Students with Disabilities, Student Adjustment, Student Behavior
McCahey, Angela; Allen, Kelly-Ann; Arslan, Gokmen – Psychology in the Schools, 2021
School belonging is an important component of adolescent well-being, yet little is known about its relationship with adolescents' Information Communication Technology (ICT) use. This study aimed to examine the relationship between school belonging and various ICT use types in Australian adolescents. The sample was drawn from 14,530 Australian…
Descriptors: Technology Uses in Education, Information Technology, Communication (Thought Transfer), Sense of Community
Kim, Minjung; Hsu, Hsien-Yuan – Journal of Educational and Behavioral Statistics, 2019
Given the natural hierarchical structure in school-setting data, multilevel modeling (MLM) has been widely employed in education research using a number of different statistical software packages. The purpose of this article is to review a recent feature of Stat-JR, the statistical analysis assistants (SAAs) embedded in Stat-JR (Version 1.0.5),…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Computer Software, Computer Software Evaluation
Trinidad, Jose Eos – International Studies in Sociology of Education, 2020
Aside from a student's personal desire to pursue higher education, a culture of high expectations in a school can have important consequences on the individual's achievement. However, the school's 'collective expectation' is affected by many contextual factors like urbanicity. Contributing to the research on urban-rural difference in education and…
Descriptors: Expectation, Social Influences, Rural Urban Differences, Hierarchical Linear Modeling
Kim, Soyoung; Hong, Sehee – Asia Pacific Education Review, 2018
This study investigated the effects of educational context variables on two types of achievement: cognitive domain and affective domain. To assess the effects of educational context variables at student and school levels, the National Assessment of Educational Achievement data were used, which were collected by the Korea Educational Development…
Descriptors: Foreign Countries, Student Characteristics, Academic Achievement, Hierarchical Linear Modeling
Konold, Timothy; Sanders, Elizabeth A. – Measurement: Interdisciplinary Research and Perspectives, 2020
Measuring and understanding the nature of informant/rater effects and differences (Level 1) on a common trait when the target of measurement is at the organizational level (Level 2) involves a number of methodological considerations. Although previous research has discussed single-level latent variable applications of the correlated…
Descriptors: Hierarchical Linear Modeling, Multitrait Multimethod Techniques, Measurement, Models
Wilson-Daily, Ann E.; Kemmelmeier, Markus – Youth & Society, 2021
Focusing on youth attitudes during a time of political upheaval in Catalonia, we study 1,438 high school students, aged 15 to 16, nested within 30 high schools. Using multilevel analyses, we examine their perceptions of the importance of voting across different election types (independence referendum, local, subnational, national, supernational)…
Descriptors: Foreign Countries, Voting, Citizen Participation, High School Students
Tan, Dongyao; Maeda, Yukiko – International Journal of Science Education, 2021
High school is a critical period for science identity development. Teacher influences are important but under-researched. Teachers' growth-mindset practices may help students meet the growing challenges to their ability, achievement, and identity in science and have long-term influences, especially for underrepresented students. We explored U.S.…
Descriptors: Teacher Attitudes, Science Teachers, Student Attitudes, High School Students
Chang, Mido; Kim, Sunha; Bang, Hyejin – Educational Practice and Theory, 2021
This study examined the influences of teacher support and school environment on 10th graders' mathematics achievements, controlling for socioeconomic status, gender, and mathematics self-efficacy, and the differential influences of these factors for White and Black students in the USA. A sample of 8,682 White and 2,020 Black students who…
Descriptors: Teacher Influence, Mathematics Achievement, Racial Differences, African American Students
Forrow, Lauren; Starling, Jennifer; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2023
The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques