Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

What Is Multi-Level Modelling for?

Stephen Gorard
British Journal of Educational Studies
Vol. 51, No. 1 (Mar., 2003), pp. 46-63
Stable URL: http://www.jstor.org/stable/3121644
Page Count: 18
  • Download ($45.00)
  • Cite this Item
What Is Multi-Level Modelling for?
Preview not available

Abstract

This paper is intended to be a consideration of the role of multi-level modelling in educational research. It is not a guide on how to design or perform such an analysis. There are several references in the text to sources that teach the practicalities perfectly well, and the technique is anyway similar to other forms of regression and to analysis of variance. Rather, the paper describes what multi-level modelling is, why it is used, and what its limitations are. It does so in the hope that some readers will be enthused sufficiently to become appropriately critical 'consumers' of research using this approach, so building research capacity, and easing pressures on 'specialist' reviewers. Anyone who can read or perform standard multivariate analyses can understand, referee, or conduct a multi-level model. Additionally, the paper makes three key points. The generally small sample size in each cluster at the lowest level of any multi-level model means that there is a danger of a greater bias in the results than in standard analyses that pool the data from all clusters. Even where there are genuine gains through the use of multi-level models these have to be set against a loss in simple intuitive grasp of the results, especially amongst policy-makers and practitioners. Therefore, long term, we are probably better advised to improve our research designs and the quality of the data we collect than to focus on more and more complex forms of analysis to overcome deficiencies in the datasets we already have.

Page Thumbnails

  • Thumbnail: Page 
46
    46
  • Thumbnail: Page 
47
    47
  • Thumbnail: Page 
48
    48
  • Thumbnail: Page 
49
    49
  • Thumbnail: Page 
50
    50
  • Thumbnail: Page 
51
    51
  • Thumbnail: Page 
52
    52
  • Thumbnail: Page 
53
    53
  • Thumbnail: Page 
54
    54
  • Thumbnail: Page 
55
    55
  • Thumbnail: Page 
56
    56
  • Thumbnail: Page 
57
    57
  • Thumbnail: Page 
58
    58
  • Thumbnail: Page 
59
    59
  • Thumbnail: Page 
60
    60
  • Thumbnail: Page 
61
    61
  • Thumbnail: Page 
62
    62
  • Thumbnail: Page 
63
    63