Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 1 |
Descriptor
Causal Models | 2 |
Data Interpretation | 2 |
Algebra | 1 |
Data Collection | 1 |
Generalization | 1 |
Graphs | 1 |
High School Students | 1 |
High Schools | 1 |
Higher Education | 1 |
Inferences | 1 |
Information Transfer | 1 |
More ▼ |
Source
Grantee Submission | 1 |
Author
Adam Sales | 1 |
Charlotte Z. Mann | 1 |
Dibble, Emily | 1 |
Jaylin Lowe | 1 |
Jiaying Wang | 1 |
Johann A. Gagnon-Bartsch | 1 |
Shaklee, Harriet | 1 |
Publication Type
Reports - Research | 2 |
Speeches/Meeting Papers | 2 |
Education Level
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Texas | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Dibble, Emily; Shaklee, Harriet – 1992
To study how the organization of information affects the way that information is interpreted, a total of 404 undergraduates in two studies (151 and 253 students, respectively) solved statistical reasoning problems based on data presented in a variety of types of graphs and tables. When assessing relative probabilities, students were equally…
Descriptors: Causal Models, Data Interpretation, Graphs, Higher Education