This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Longford, N. T. Search for Related Content Social Bookmarking                         What's this?

Hierarchical Models and Social Sciences

Educational Testing Service

The view is presented that multilevel methods are just one element in a hypothetical complete analysis of observational data on human subjects. In most contexts several sources of uncertainty, in addition to those captured by a multilevel analysis, are present, and so the confidence placed in the results of a typical multilevel analysis is unrealistically optimistic. A "soft-ware-free" analysis of longitudinal data with rectangular design is outlined. Questions posed by the National Center for Education Statistics and elaborated by de Leeuw and Kreft are briefly discussed.

Key Words: educational process • noninformative allocation • observational study • uncertainty

Journal of Educational and Behavioral Statistics, Vol. 20, No. 2, 205-209 (1995)
DOI: 10.3102/10769986020002205


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?