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) | 3 |
Descriptor
Data Analysis | 3 |
Data Interpretation | 3 |
Mathematics Achievement | 3 |
Academic Achievement | 1 |
Achievement Gains | 1 |
Algebra | 1 |
Benchmarking | 1 |
Change Strategies | 1 |
Child Development | 1 |
Cognitive Development | 1 |
Cohort Analysis | 1 |
More ▼ |
Author
Dahl, Gordon | 1 |
Hong, Guanglei | 1 |
Lawrence, Nancy R. | 1 |
Lochner, Lance | 1 |
Nabrs Olah, Leslie | 1 |
Nomi, Takako | 1 |
Riggan, Matthew | 1 |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Numerical/Quantitative Data | 1 |
Education Level
Elementary Education | 1 |
Grade 9 | 1 |
Secondary Education | 1 |
Audience
Teachers | 1 |
Location
Pennsylvania | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hong, Guanglei; Nomi, Takako – Journal of Research on Educational Effectiveness, 2012
The conventional approaches to mediation analysis such as path analysis and structural equation modeling typically involve specifying two structural models, one for the mediator and the other for the outcome. We employ an alternative approach that avoids some strong identification assumptions invoked by the conventional approaches. By applying a…
Descriptors: Evaluation Methods, Path Analysis, Structural Equation Models, Outcomes of Education
Nabrs Olah, Leslie; Lawrence, Nancy R.; Riggan, Matthew – Peabody Journal of Education, 2010
Although interim assessments are currently promoted as a mechanism for improving teaching and student learning, we know little about how teachers use this data to modify instruction. This article presents findings from a larger study on teachers' use of interim assessment information in elementary mathematics. We address the following questions:…
Descriptors: Educational Assessment, Benchmarking, Evaluation Utilization, Formative Evaluation
Dahl, Gordon; Lochner, Lance – Institute for Research on Poverty, 2009
Past estimates of the effect of family income on child development have often been plagued by endogeneity and measurement error. In this paper, we use two simulated instrumental variables strategies to estimate the causal effect of income on children's math and reading achievement. Our identification derives from the large, non-linear changes…
Descriptors: Family Income, Academic Achievement, Evidence, Tax Credits