Literature DB >> 19793411

Proportion of third-level variation in multi-level studies: A note on an interval estimation procedure.

Tenko Raykov1.   

Abstract

An interval estimation procedure is outlined that can be used for evaluating the proportion of observed variance in a response variable, which is due to the third level of nesting in a hierarchical design. The approach is also useful when it is of concern to address the necessity of including a third level in analyses of data from a multi-level study, relative to an alternative of proceeding with two-level modelling. The proposed method is illustrated with an empirical example.

Mesh:

Year:  2009        PMID: 19793411     DOI: 10.1348/000711009X468004

Source DB:  PubMed          Journal:  Br J Math Stat Psychol        ISSN: 0007-1102            Impact factor:   3.380


  2 in total

1.  Comparing Between- and Within-Group Variances in a Two-Level Study: A Latent Variable Modeling Approach to Evaluating Their Relationship.

Authors:  Tenko Raykov; George A Marcoulides; Hope O Akaeze
Journal:  Educ Psychol Meas       Date:  2016-03-04       Impact factor: 2.821

2.  Evaluation of Second- and Third-Level Variance Proportions in Multilevel Designs With Completely Observed Populations: A Note on a Latent Variable Modeling Procedure.

Authors:  Tenko Raykov; Natalja Menold; Jane Leer
Journal:  Educ Psychol Meas       Date:  2021-04-21       Impact factor: 3.088

  2 in total

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