Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 4 |
Descriptor
Test Items | 8 |
College Entrance Examinations | 6 |
Mathematics Tests | 5 |
Computer Assisted Testing | 3 |
High School Students | 3 |
Models | 3 |
Reading Tests | 3 |
Scores | 3 |
Verbal Tests | 3 |
Difficulty Level | 2 |
Factor Analysis | 2 |
More ▼ |
Source
College Board | 3 |
ACT, Inc. | 1 |
College Entrance Examination… | 1 |
ETS Research Report Series | 1 |
Grantee Submission | 1 |
Online Submission | 1 |
Author
Gierl, Mark J. | 2 |
Wang, Changjiang | 2 |
Ben Seipel | 1 |
Bridgeman, Brent | 1 |
Cho, YoungWoo | 1 |
Curley, Edward | 1 |
Futagi, Yoko | 1 |
Gokiert, Rebecca | 1 |
Hemat, Ramin | 1 |
Kostin, Irene | 1 |
Leighton, Jacqueline P. | 1 |
More ▼ |
Publication Type
Numerical/Quantitative Data | 8 |
Reports - Research | 8 |
Journal Articles | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 8 |
Postsecondary Education | 7 |
High Schools | 3 |
Secondary Education | 3 |
Audience
Location
New York | 1 |
Laws, Policies, & Programs
Assessments and Surveys
SAT (College Admission Test) | 4 |
ACT Assessment | 1 |
California Achievement Tests | 1 |
Graduate Record Examinations | 1 |
Medical College Admission Test | 1 |
National Merit Scholarship… | 1 |
Preliminary Scholastic… | 1 |
What Works Clearinghouse Rating
Ben Seipel; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison; Patrick C. Kennedy – Grantee Submission, 2022
Originally designed for students in Grades 3 through 5, MOCCA (formerly the Multiple-choice Online Causal Comprehension Assessment), identifies students who struggle with comprehension, and helps uncover why they struggle. There are many reasons why students might not comprehend what they read. They may struggle with decoding, or reading words…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Diagnostic Tests, Reading Tests
Steedle, Jeffrey; Pashley, Peter; Cho, YoungWoo – ACT, Inc., 2020
Three mode comparability studies were conducted on the following Saturday national ACT test dates: October 26, 2019, December 14, 2019, and February 8, 2020. The primary goal of these studies was to evaluate whether ACT scores exhibited mode effects between paper and online testing that would necessitate statistical adjustments to the online…
Descriptors: Test Format, Computer Assisted Testing, College Entrance Examinations, Scores
Gierl, Mark J.; Leighton, Jacqueline P.; Wang, Changjiang; Zhou, Jiawen; Gokiert, Rebecca; Tan, Adele – College Board, 2009
The purpose of the study is to present research focused on validating the four algebra cognitive models in Gierl, Wang, et al., using student response data collected with protocol analysis methods to evaluate the knowledge structures and processing skills used by a sample of SAT test takers.
Descriptors: Algebra, Mathematics Tests, College Entrance Examinations, Student Attitudes
Liu, Jinghua; Schuppan, Fred; Walker, Michael E. – College Board, 2005
This study explored whether the addition of the items with more advanced math content to the SAT Reasoning Test™ (SAT®) would impact test-taker performance. Two sets of SAT math equating sections were modified to form four subforms each. Different numbers of items with advanced content, taken from the SAT II: Mathematics Level IC Test (Math IC),…
Descriptors: College Entrance Examinations, Mathematics Tests, Test Items, Difficulty Level
Bridgeman, Brent; Trapani, Catherine; Curley, Edward – College Entrance Examination Board, 2003
The impact of allowing more time for each question on SAT® I: Reasoning Test scores was estimated by embedding sections with a reduced number of questions into the standard 30-minute equating section of two national test administrations. Thus, for example, questions were deleted from a verbal section that contained 35 questions to produce forms…
Descriptors: College Entrance Examinations, Test Items, Timed Tests, Verbal Tests
Sheehan, Kathleen M.; Kostin, Irene; Futagi, Yoko; Hemat, Ramin; Zuckerman, Daniel – ETS Research Report Series, 2006
This paper describes the development, implementation, and evaluation of an automated system for predicting the acceptability status of candidate reading-comprehension stimuli extracted from a database of journal and magazine articles. The system uses a combination of classification and regression techniques to predict the probability that a given…
Descriptors: Automation, Prediction, Reading Comprehension, Classification
Rizavi, Saba; Way, Walter D.; Lu, Ying; Pitoniak, Mary; Steffen, Manfred – Online Submission, 2004
The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…
Descriptors: Test Items, Test Bias, Item Banks, College Admission
Gierl, Mark J.; Tan, Xuan; Wang, Changjiang – College Board, 2005
The results of this study conclude that there is a multidimensional basis for test score inferences on the mathematics and critical reading sections of the SAT. Results from the exploratory analyses indicate that the data are multidimensional, as mathematics displayed two dimensions and critical reading displayed three dimensions. The correlations…
Descriptors: College Entrance Examinations, Standardized Tests, Scores, Inferences