Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Data Collection | 3 |
| Models | 3 |
| Item Response Theory | 2 |
| Asian American Students | 1 |
| Case Studies | 1 |
| College Students | 1 |
| Colleges | 1 |
| Computation | 1 |
| Consciousness Raising | 1 |
| Data Analysis | 1 |
| Ethnic Groups | 1 |
| More ▼ | |
Source
| Educational Testing Service | 3 |
Author
| Lok, Libby | 1 |
| Nguyen, Bach Mai Dolly | 1 |
| Rijmen, Frank | 1 |
| Teranishi, Robert | 1 |
| von Davier, Alina A. | 1 |
| von Davier, Matthias | 1 |
Publication Type
| Reports - Evaluative | 2 |
| Numerical/Quantitative Data | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| California | 1 |
| Guam | 1 |
| Hawaii | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Teranishi, Robert; Lok, Libby; Nguyen, Bach Mai Dolly – Educational Testing Service, 2013
In 2013, the National Commission on Asian American and Pacific Islander Research in Education (CARE) and the White House Initiative on Asian Americans and Pacific Islanders (WHIAAPI)--with support from ETS and Asian Americans and Pacific Islanders in Philanthropy (AAPIP)--began an Asian American and Pacific Islander (AAPI) data quality campaign.…
Descriptors: College Students, Asian American Students, Pacific Islanders, Consciousness Raising
Rijmen, Frank – Educational Testing Service, 2010
As is the case for any statistical model, a multidimensional latent growth model comes with certain requirements with respect to the data collection design. In order to measure growth, repeated measurements of the same set of individuals are required. Furthermore, the data collection design should be specified such that no individual is given the…
Descriptors: Tests, Statistical Analysis, Models, Measurement
von Davier, Matthias; von Davier, Alina A. – Educational Testing Service, 2004
This paper examines item response theory (IRT) scale transformations and IRT scale linking methods used in the Non-Equivalent Groups with Anchor Test (NEAT) design to equate two tests, X and Y. It proposes a unifying approach to the commonly used IRT linking methods: mean-mean, mean-var linking, concurrent calibration, Stocking and Lord and…
Descriptors: Measures (Individuals), Item Response Theory, Item Analysis, Models


