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Chen, Dan; Ning, Bo; Bos, Wilfried – Asia Pacific Journal of Education, 2022
Previous studies differed largely in their findings concerning the relationship between principal leadership and students' mathematics achievement because of the complexity of principal leadership. As Hallinger and Heck's theoretical framework showed, principal leadership was comprised setting vision/goal, school management, and school climate…
Descriptors: Principals, Grade 4, Elementary School Students, Factor Analysis
Cig, Oguzcan; Jones, Ithel – Education Quarterly Reviews, 2022
This study examined the relationship between young children's cognitive development and fathers' engagement in early childhood. The study examined fathers' home engagement patterns based on literacy, play, and caregiving activities when their children were 9-month-old and these patterns of engagement in 9-month-old were related to children's…
Descriptors: Infants, Fathers, Parent Participation, Cognitive Development
Salmon-Mordekovich, Nirit; Leikin, Mark – Journal of Creative Behavior, 2022
This study aimed to portray insightful problem solvers. Participants solved classic insight problems and rebuses and completed cognitive and creativity tasks. Grouping the participants based on their success in solving insight problems of different modalities revealed that 95% of the spatial problem solvers succeeded in solving verbal ones…
Descriptors: Problem Solving, Spatial Ability, Verbal Ability, Intuition
Halpin, Peter F.; Kieffer, Michael J. – Grantee Submission, 2015
The authors outline the application of latent class analysis (LCA) to classroom observational instruments. LCA offers diagnostic information about teachers' instructional strengths and weaknesses, along with estimates of measurement error for individual teachers, while remaining relatively straightforward to implement and interpret. It is…
Descriptors: Multivariate Analysis, Classroom Observation Techniques, Data Analysis, Error of Measurement
Ohannessian, Christine M.; Vannucci, Anna – Youth & Society, 2020
The primary purpose of this study was to identify subgroups of adolescents based on their reported use of technology. Secondary aims were to examine whether technology use typologies differ by gender and to explore whether technology use typologies are linked to psychological adjustment. The sample included 1,003 10th and 11th grade students from…
Descriptors: Emotional Adjustment, Gender Differences, Grade 10, Grade 11
Reid, Joan A.; Sullivan, Christopher J. – Journal of Early Adolescence, 2016
Using latent class analysis (LCA), this study identified a dyadic taxonomy of delinquent youth categorized by varying types of maternal-youth reporting discrepancies (i.e., youth < maternal, youth > maternal) within a sample of 764 14-year-old high-risk youth. Four distinctive subgroups of youth were identified, two of which reported more…
Descriptors: Delinquency, Classification, Mothers, Behavior Problems
Kearney, Miranda A. – Journal of STEM Education: Innovations and Research, 2022
The COVID-19 pandemic presented many challenges for educators. In Course-based Undergraduate Research Experiences (CUREs), where students learn about the scientific process by working on novel research, few resources for remote learning were available. Here the impact of changes to course delivery format on student learning gains in a…
Descriptors: COVID-19, Pandemics, Introductory Courses, Biology
Instructor and Peer Bullying in College Students: Distinct Typologies Based on Latent Class Analysis
Marraccini, Marisa E.; Brick, Leslie Ann D.; Weyandt, Lisa L. – Journal of American College Health, 2018
Objective: Although bullying is traditionally considered within the context of primary and secondary school, recent evidence suggests that bullying continues into college and workplace settings. Participants/Method: Latent class analysis (LCA) was employed to classify college bullying involvement typologies among 325 college students attending a…
Descriptors: Bullying, Peer Relationship, College Students, Victims
Bayly, Benjamin L.; Cooper, Brittany Rhoades; Rhoades, Kimberly A. – Child & Youth Care Forum, 2023
Background: The long-term effectiveness of Head Start remains a topic of debate. Previous research with families of children enrolling in Head Start at three years of age has shown patterns of familial risk moderate the short-term effects of Head Start suggesting some children benefit more than others. However, we know little about patterns of…
Descriptors: Federal Programs, Low Income Students, Social Services, At Risk Students
Garnett, Bernice R.; Masyn, Katherine E.; Austin, S. Bryn; Williams, David R.; Viswanath, Kasisomayajula – Journal of School Health, 2015
Background: We used a latent class analysis (LCA) to characterize coping styles of urban youth and examined if coping styles moderated the association between experiencing discrimination and bullying and depressive symptoms. Methods: The data come from the 2006 Boston Youth Survey, where students were asked to select 2 behaviors they do most often…
Descriptors: Coping, Bullying, Urban Youth, Correlation
Schultheis, Holger; Carlson, Laura A. – Cognitive Science, 2017
Previous studies have shown that multiple reference frames are available and compete for selection during the use of spatial terms such as "above." However, the mechanisms that underlie the selection process are poorly understood. In the current paper we present two experiments and a comparison of three computational models of selection…
Descriptors: Comparative Analysis, Models, Reaction Time, Experiments
Lawson, Michael A.; Masyn, Katherine E. – AERA Open, 2015
Using data from the Educational Longitudinal Study (2002), this study employed latent class analysis (LCA) to explore the relationship between students' engagement-related dispositions and their behavioral engagement in home, school, and community activities. The primary aim was to identify and describe the engagement characteristics of distinct…
Descriptors: Correlation, Learner Engagement, Student Characteristics, Student Behavior
Kang, In Gu – International Review of Research in Open and Distributed Learning, 2020
Massive open online courses (MOOCs) have been touted as an effective way to make higher education accessible for free or for only a small fee, thus addressing the problem of unequal access and providing new opportunities to young people in middle and low income groups. However, many critiques of MOOCs have indicated that low completion rates are a…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Bayly, Benjamin L.; Vasilenko, Sara A. – International Journal of Behavioral Development, 2021
To provide a comprehensive view of the unique contexts shaping adolescent development in the U.S., we utilized latent class analysis (LCA) with indicators of risk and protection across multiple domains (family, peers, school, neighborhood) and examined how latent class membership predicted heavy episodic drinking, illicit substance use, and…
Descriptors: Adolescents, Risk, Resilience (Psychology), Substance Abuse
Cook, Kelley L. – ProQuest LLC, 2023
Lesbian, gay, bisexual, transgender, and queer or questioning (LGBTQ) college students are among the most vulnerable to suicide when compared to cisgender and heterosexual students (Casey et al., 2022; Hatchel et al., 2021; Horwitz et al., 2020; Ketchen-Lipson et al., 2019; Shepherd et al., 2023). Building upon Joiner's (2005) interpersonal…
Descriptors: Gender Discrimination, Suicide, Risk, At Risk Students