Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Disadvantaged Youth | 3 |
| Gender Differences | 3 |
| Hierarchical Linear Modeling | 3 |
| Comparative Analysis | 2 |
| Foreign Countries | 2 |
| Poverty | 2 |
| Socioeconomic Status | 2 |
| Academic Achievement | 1 |
| Access to Education | 1 |
| Achievement Gap | 1 |
| Adolescents | 1 |
| More ▼ | |
Author
| Barber, Bonnie L. | 1 |
| Diemer, Matthew A. | 1 |
| Maier, Kimberly S. | 1 |
| Modecki, Kathryn Lynn | 1 |
| Strand, Steve | 1 |
| Uink, Bep Norma | 1 |
| Wang, Qiu | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Elementary Education | 1 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkUink, Bep Norma; Modecki, Kathryn Lynn; Barber, Bonnie L. – International Journal of Behavioral Development, 2017
Previous Experience Sampling Method (ESM) studies demonstrate that adolescents' daily emotional states are heavily influenced by their immediate social context. However, despite adolescence being a risk period for exposure to daily stressors, research has yet to examine the influence of peers on adolescents' emotional responses to stressors…
Descriptors: Disadvantaged Youth, Psychological Patterns, Stress Variables, Peer Influence
Wang, Qiu; Diemer, Matthew A.; Maier, Kimberly S. – Educational and Psychological Measurement, 2013
This study integrated Bayesian hierarchical modeling and receiver operating characteristic analysis (BROCA) to evaluate how interest strength (IS) and interest differentiation (ID) predicted low–socioeconomic status (SES) youth's interest-major congruence (IMC). Using large-scale Kuder Career Search online-assessment data, this study fit three…
Descriptors: Bayesian Statistics, Socioeconomic Status, Student Interests, Gender Differences
Strand, Steve – Review of Education, 2016
Relatively little research has explored whether schools differ in their effectiveness for different group of pupils (e.g. by ethnicity, poverty or gender), for different curriculum subjects (e.g. English, mathematics or science) or over time (different cohorts). This paper uses multilevel modelling to analyse the national test results at age 7 and…
Descriptors: School Effectiveness, Hierarchical Linear Modeling, Children, Elementary School Students
