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) | 3 |
Descriptor
Source
| College Board | 3 |
Author
| Kaliski, Pamela | 2 |
| Chajewski, Michael | 1 |
| France, Megan | 1 |
| Hendrickson, Amy | 1 |
| Huff, Kristen | 1 |
| Lionberger, Karen | 1 |
| Melican, Gerald | 1 |
| Patterson, Brian | 1 |
| Reshetar, Rosemary | 1 |
| Thurber, Allison | 1 |
Publication Type
| Non-Print Media | 3 |
| Reference Materials - General | 3 |
Education Level
| High Schools | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Advanced Placement… | 2 |
| SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Download full textReshetar, Rosemary; Kaliski, Pamela; Chajewski, Michael; Lionberger, Karen – College Board, 2012
This presentation summarizes a pilot study conducted after the May 2011 administration of the AP Environmental Science Exam. The study used analytical methods based on scaled anchoring as input to a Performance Level Descriptor validation process that solicited systematic input from subject matter experts.
Descriptors: Advanced Placement Programs, Science Tests, Achievement Tests, Classification
Kaliski, Pamela; France, Megan; Huff, Kristen; Thurber, Allison – College Board, 2011
Developing a cognitive model of task performance is an important and often overlooked phase in assessment design; failing to establish such a model can threaten the validity of the inferences made from the scores produced by an assessment (e.g., Leighton, 2004). Conducting think aloud interviews (TAIs), where students think aloud while completing…
Descriptors: World History, Advanced Placement Programs, Achievement Tests, Protocol Analysis
Hendrickson, Amy; Patterson, Brian; Melican, Gerald – College Board, 2008
Presented at the Annual National Council on Measurement in Education (NCME) in New York in March 2008. This presentation explores how different item weighting can affect the effective weights, validity coefficents and test reliability of composite scores among test takers.
Descriptors: Multiple Choice Tests, Test Format, Test Validity, Test Reliability
