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Showing 166 to 172 of 172 results Save | Export
Patterson, Brian F. – College Board, 2008
Presented at the quarterly meeting of the New York Area SAS Users-Group in December 2008. In virtually any research context, there is likely to be opportunity to apply mixed-models--of which repeated-measures, multilevel, hierarchical and random- and fixed-effect models are specific types-- that improve upon their traditional linear or generalized…
Descriptors: Hierarchical Linear Modeling, Statistics, Computer Software, College Entrance Examinations
Smith, Jonathan; Pender, Matea; Howell, Jessica; Hurwitz, Michael – College Board, 2012
This research quantifies the extent of student-college academic undermatch among the 1992 and 2004 cohorts of graduating high school seniors and documents changes in the extent of academic undermatch over time. Tables are appended.
Descriptors: High School Seniors, High School Graduates, Graduation, College Graduates
Byers, Jenny; Mattern, Krista D.; Shaw, Emily J.; Springall, Robert – College Board, 2011
Presented at the College Board National Forum, October 26, 2011. Choosing a college major is challenging enough, without stopping to consider the impact it has on a student's college experience and career choice. To provide support during this major decision, participants in this session will develop strategies to facilitate students in making an…
Descriptors: Majors (Students), Decision Making, High School Students, Intervention
Shaw, Emily J.; Mattern, Krista D. – College Board, 2009
This study examined the relationship between students' self-reported high school grade point average (HSGPA) from the SAT Questionnaire and their HSGPA provided by the colleges and universities they attend. The purpose of this research was to offer updated information on the relatedness of self-reported (by the student) and school-reported (by the…
Descriptors: High School Students, Grade Point Average, Accuracy, Aptitude Tests
Kaliski, Pamela; Huff, Kristen; Barry, Carol – College Board, 2011
For educational achievement tests that employ multiple-choice (MC) items and aim to reliably classify students into performance categories, it is critical to design MC items that are capable of discriminating student performance according to the stated achievement levels. This is accomplished, in part, by clearly understanding how item design…
Descriptors: Alignment (Education), Academic Achievement, Expertise, Evaluative Thinking
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
Norris, Dwayne; Oppler, Scott; Kuang, Daniel; Day, Rachel; Adams, Kimberly – College Board, 2006
This study assessed the predictive and incremental validity of a prototype version of the forthcoming SAT® writing section that was administered to a sample of incoming students at 13 colleges and universities. For these participants, SAT scores, high school GPA, and first-year grades also were obtained. Using these data, analyses were conducted…
Descriptors: College Entrance Examinations, Writing Tests, Predictive Validity, Test Validity
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