Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Source
| Educational Measurement:… | 2 |
Author
| An, Chen | 1 |
| Barron, Kenneth E. | 1 |
| Braun, Henry | 1 |
| Hulleman, Chris S. | 1 |
| Kosovich, Jeff J. | 1 |
| Lazowski, Rory A. | 1 |
| Walsh, Mary E. | 1 |
Publication Type
| Journal Articles | 2 |
| Opinion Papers | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Middle Schools | 2 |
| Junior High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lazowski, Rory A.; Barron, Kenneth E.; Kosovich, Jeff J.; Hulleman, Chris S. – Educational Measurement: Issues and Practice, 2016
In an article published in "Educational Measurement: Issues and Practice," Gaertner and McClarty (2015) discuss a college readiness index based, in part, on nonacademic or noncognitive factors measured in middle school. Such an index is laudable as it incorporates important constructs beyond academic achievement measures that may be…
Descriptors: College Readiness, Measures (Individuals), Student Motivation, Validity
An, Chen; Braun, Henry; Walsh, Mary E. – Educational Measurement: Issues and Practice, 2018
Making causal inferences from a quasi-experiment is difficult. Sensitivity analysis approaches to address hidden selection bias thus have gained popularity. This study serves as an introduction to a simple but practical form of sensitivity analysis using Monte Carlo simulation procedures. We examine estimated treatment effects for a school-based…
Descriptors: Statistical Inference, Intervention, Program Effectiveness, Quasiexperimental Design

Peer reviewed
Direct link
