Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Grade 11 | 2 |
| Hierarchical Linear Modeling | 2 |
| Science Instruction | 2 |
| Achievement Need | 1 |
| Anxiety | 1 |
| Classroom Environment | 1 |
| Context Effect | 1 |
| Correlation | 1 |
| Difficulty Level | 1 |
| Educational Research | 1 |
| Grade 10 | 1 |
| More ▼ | |
Publication Type
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Grade 11 | 2 |
| High Schools | 2 |
| Secondary Education | 2 |
| Grade 10 | 1 |
| Grade 12 | 1 |
| Grade 9 | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
Audience
Location
| Texas | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Nimon, Kim – Career and Technical Education Research, 2012
Using state achievement data that are openly accessible, this paper demonstrates the application of hierarchical linear modeling within the context of career technical education research. Three prominent approaches to analyzing clustered data (i.e., modeling aggregated data, modeling disaggregated data, modeling hierarchical data) are discussed…
Descriptors: Vocational Education, Educational Research, Hierarchical Linear Modeling, Multivariate Analysis
Ochoa-Angrino, Solanlly – ProQuest LLC, 2012
Using emergent motivation theory, this study analyzes the relationships between high school students' perceptions of their reading skills, task challenge, and personal control over assigned reading activities and their reading engagement (i.e., interest, enjoyment, and concentration) during science instruction. The study also examines how…
Descriptors: High School Students, Science Education, Reading Achievement, Reading Habits

Peer reviewed
Direct link
