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) | 1 |
Descriptor
| Difficulty Level | 2 |
| Academic Achievement | 1 |
| Academic Records | 1 |
| Algebra | 1 |
| Comparative Analysis | 1 |
| Course Content | 1 |
| Course Selection (Students) | 1 |
| Credits | 1 |
| Educational Assessment | 1 |
| Geometry | 1 |
| Goodness of Fit | 1 |
| More ▼ | |
Publication Type
| Numerical/Quantitative Data | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Grade 12 | 1 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 2 |
What Works Clearinghouse Rating
Peer reviewed
Download full textBrown, J.; Schiller, K.; Roey, S.; Perkins, R.; Schmidt, W.; Houang, R. – National Center for Education Statistics, 2013
The 2005 National Assessment of Educational Progress (NAEP) High School Transcript Study (HSTS) found that high school graduates in 2005 earned more mathematics credits, took higher level mathematics courses, and obtained higher grades in mathematics courses than in 1990. The report also noted that these improvements in students' academic records…
Descriptors: Difficulty Level, Mathematics Achievement, Academic Records, Credits
Rudner, Lawrence M.; And Others – 1995
Fit statistics provide a direct measure of assessment accuracy by analyzing the fit of measurement models to an individual's (or group's) response pattern. Students that lose interest during the assessment, for example, will miss exercises that are within their abilities. Such students will respond correctly to some more difficult items and…
Descriptors: Difficulty Level, Educational Assessment, Goodness of Fit, Measurement Techniques
