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Comparing Private Schools and Public Schools Using Hierarchical Linear Modeling. NCES 2006-461

Title: Comparing Private Schools and Public Schools Using Hierarchical Linear Modeling. NCES 2006-461
Language: English
Authors: Braun, Henry; Jenkins, Frank; Grigg, Wendy; National Center for Education Statistics (ED), Washington, DC.; Educational Testing Service, Princeton, NJ.
Source: National Center for Education Statistics. 2006.
Availability: ED Pubs, P.O. Box 1398, Jessup, MD 20794-1398. Tel: 877-433-7827 (Toll Free); Web site: http://www.edpubs.org.
Peer Reviewed: Y
Page Count: 66
Publication Date: 2006
Document Type: Numerical/Quantitative Data; Reports - Evaluative
Descriptors: Student Characteristics; School Size; Private Schools; National Competency Tests; Public Schools; Comparative Analysis; Reading Achievement; Mathematics Achievement; Scores
Abstract: The goal of the study was to examine differences in mean National Assessment of Educational Progress (NAEP) reading and mathematics scores between public and private schools when selected characteristics of students and/or schools were taken into account. Among the student characteristics considered were gender, race/ethnicity, disability status, and identification as an English language learner. Among the school characteristics considered were school size and location, and composition of the student body and of the teaching staff. In particular, if the student populations enrolled in the two types of schools differed systematically with respect to background characteristics related to achievement, then those differences would be confounded with straightforward comparisons between school types. The following are appended: (1) Overview of Procedures; and (2) Homogeneity of Variance Assumption in the HLM Analysis. (Contains 26 tables and 13 figures.) [The work upon which this publication is based was performed for the National Center for Education Statistics by Educational Testing Service, the NAEP Education Statistics Services Institute, Pearson Educational Measurement, and Westat.]
Abstractor: ERIC
Number of References: 19
IES Funded: Yes
IES Publication: http://ies.ed.gov/pubsearch/pubsinfo.asp?pubid=2006461
Entry Date: 2006
Accession Number: ED492570
Database: ERIC