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
Source
Grantee Submission | 3 |
Author
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Education Level
Adult Education | 1 |
Early Childhood Education | 1 |
High Schools | 1 |
Higher Education | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Preschool Education | 1 |
Secondary Education | 1 |
Audience
Location
California (Stockton) | 1 |
Connecticut (Hartford) | 1 |
Illinois (Chicago) | 1 |
New York (New York) | 1 |
North Carolina (Charlotte) | 1 |
Ohio (Columbus) | 1 |
Ohio (Dayton) | 1 |
Rhode Island (Providence) | 1 |
Tennessee (Memphis) | 1 |
Wisconsin | 1 |
Laws, Policies, & Programs
Assessments and Surveys
ACT Assessment | 1 |
What Works Clearinghouse Rating
Does not meet standards | 1 |
Sandilos, Lia E.; Goble, Priscilla; Rimm-Kaufman, Sara E.; Pianta, Robert C. – Grantee Submission, 2018
The present study examines the extent to which participation in a 14-week professional development course designed to improve teacher-child interactions in the classroom moderated the relation between teacher-reported job stress and gains in observed teacher-child interaction quality from the beginning to the end of the intervention. Participants…
Descriptors: Faculty Development, Teacher Student Relationship, Interaction, Program Effectiveness
Cho, Sun-Joo; Preacher, Kristopher J.; Bottge, Brian A. – Grantee Submission, 2015
Multilevel modeling (MLM) is frequently used to detect group differences, such as an intervention effect in a pre-test--post-test cluster-randomized design. Group differences on the post-test scores are detected by controlling for pre-test scores as a proxy variable for unobserved factors that predict future attributes. The pre-test and post-test…
Descriptors: Structural Equation Models, Hierarchical Linear Modeling, Intervention, Program Effectiveness
Rozek, Christopher S.; Svoboda, Ryan C.; Harackiewicz, Judith M.; Hulleman, Christopher S.; Hyde, Janet S. – Grantee Submission, 2017
During high school, developing competence in science, technology, engineering, and mathematics (STEM) is critically important as preparation to pursue STEM careers, yet students in the United States lag behind other countries, ranking 35th in mathematics and 27th in science achievement internationally. Given the importance of STEM careers as…
Descriptors: STEM Education, Career Readiness, College Readiness, High School Students