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ERIC Number: EJ879635
Record Type: Journal
Publication Date: 2009
Pages: 31
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1076-9986
EISSN: N/A
Available Date: N/A
On the Estimation of Hierarchical Latent Regression Models for Large-Scale Assessments
Li, Deping; Oranje, Andreas; Jiang, Yanlin
Journal of Educational and Behavioral Statistics, v34 n4 p433-463 2009
To find population proficiency distributions, a two-level hierarchical linear model may be applied to large-scale survey assessments such as the National Assessment of Educational Progress (NAEP). The model and parameter estimation are developed and a simulation was carried out to evaluate parameter recovery. Subsequently, both a hierarchical and a simple model were applied to NAEP reading data. The impact of using a hierarchical model was found to be relatively modest in this case, mostly due to modest clustering. Several other applications and future studies are discussed. (Contains 10 notes and 16 tables.)
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://bibliotheek.ehb.be:2814
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Secondary Education; Grade 8
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: National Assessment of Educational Progress
Grant or Contract Numbers: N/A
Author Affiliations: N/A