Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Cooperative Planning | 2 |
| Structural Equation Models | 2 |
| Surveys | 2 |
| Academic Achievement | 1 |
| Access to Information | 1 |
| Accountability | 1 |
| Administrator Attitudes | 1 |
| Administrator Responsibility | 1 |
| Administrator Role | 1 |
| Board Administrator… | 1 |
| Context Effect | 1 |
| More ▼ | |
Author
| Hanks, Jeffrey Mark | 1 |
| Luo, Mingchu | 1 |
Publication Type
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Secondary Education | 1 |
Audience
| Administrators | 1 |
Location
| Texas | 1 |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkHanks, Jeffrey Mark – ProQuest LLC, 2010
The purpose of this study was to model, through structural equation modeling techniques, the relationships among superintendent practices of collaborative goal-setting, establishment of nonnegotiable goals for achievement and instruction, board alignment with and support of district goals, monitoring goals for achievement and instruction, use of…
Descriptors: Structural Equation Models, Academic Achievement, Factor Structure, Factor Analysis
Peer reviewedLuo, Mingchu – Educational Administration Quarterly, 2008
Background: Accountability demands are increasingly pushing school leaders to explore more data and do more sophisticated analyses. Data-driven decision making (DDDM) has become an emerging field of practice for school leadership and a central focus of education policy and practice. Purpose: This study examined principals' DDDM practices and…
Descriptors: Research Design, Structural Equation Models, Vision, Decision Making
