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ERIC Number: EJ656712
Record Type: Journal
Publication Date: 2002
Pages: N/A
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: ISSN-1076-9986
Sensitivity Analysis for Hierarchical Models Employing "t" Level-1 Assumptions.
Seltzer, Michael; Novak, John; Choi, Kilchan; Lim, Nelson
Journal of Educational and Behavioral Statistics, v27 n2 p181-222 Sum 2002
Examines the ways in which level-1 outliers can impact the estimation of fixed effects and random effects in hierarchical models (HMs). Also outlines and illustrates the use of Markov Chain Monte Carlo algorithms for conducting sensitivity analyses under "t" level-1 assumptions, including algorithms for settings in which the degrees of freedom at level 1 is treated as an unknown parameter. (Author/SLD)
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A