ERIC - Search Results

Descriptor

Item Response Theory	2
Matrices	2
Sampling	2
College Entrance Examinations	1
Data Analysis	1
Educational Assessment	1
Equations (Mathematics)	1
Estimation (Mathematics)	1
High School Seniors	1
High Schools	1
Mathematical Models	1
Maximum Likelihood Statistics	1
Models	1
National Surveys	1
Research Design	1
Test Items	1
More ▼

Source

Journal of Educational…	1
Journal of Educational and…	1

Author

Gan, Nianci	1
Mislevy, Robert J.	1
Thomas, Neal	1

Publication Type

Journal Articles	2
Reports - Evaluative	2

Education Level

Audience

Location

Laws, Policies, & Programs

Assessments and Surveys

National Assessment of…	2
SAT (College Admission Test)	1

What Works Clearinghouse Rating

Showing all 2 results Save | Export

Generating Multiple Imputations for Matrix Sampling Data Analyzed with Item Response Models.

Peer reviewed

Thomas, Neal; Gan, Nianci – Journal of Educational and Behavioral Statistics, 1997

Describes and assesses missing data methods currently used to analyze data from matrix sampling designs implemented by the National Assessment of Educational Progress. Several improved methods are developed, and these models are evaluated using an EM algorithm to obtain maximum likelihood estimates followed by multiple imputation of complete data…

Descriptors: Data Analysis, Item Response Theory, Matrices, Maximum Likelihood Statistics

Estimating Population Characteristics from Sparse Matrix Samples of Item Responses.

Peer reviewed

Mislevy, Robert J.; And Others – Journal of Educational Measurement, 1992

Concepts behind plausible values in estimating population characteristics from sparse matrix samples of item responses are discussed. The use of marginal analyses is described in the context of the National Assessment of Educational Progress, and the approach is illustrated with Scholastic Aptitude Test data for 9,075 high school seniors. (SLD)

Descriptors: College Entrance Examinations, Educational Assessment, Equations (Mathematics), Estimation (Mathematics)