Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Sociological Methods & Research
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by SNIJDERS, T. A. B.
Right arrow Articles by BOSKER, R. J.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Modeled Variance in Two-Level Models

TOM A. B. SNIJDERS

University of Groningen, Netherlands

ROEL J. BOSKER

University of Twente, Netherlands

The concept of explained proportion of variance or modeled proportion of variance is reviewed in the situation of the random effects hierarchical two-level model. It is argued that the proportional reduction in (estimated) variance components is not an attractive parameter to represent the joint importance of the explanatory (independent) variables for modeling the dependent variable. It is preferable instead to work with the proportional reduction in mean squared prediction error for predicting individual values (for the modeled variance at level 1) and the proportional reduction in mean squared prediction error for predicting group averages (for the modeled variance at level 2). It is shown that when predictors are added, the proportion of modeled variance defined in this way cannot go down in the population if the model is correctly specified, but can go down in a sample; the latter situation then points to the possibility of misspecification. This provides a diagnostic means for identifying misspecification.

Sociological Methods & Research, Vol. 22, No. 3, 342-363 (1994)
DOI: 10.1177/0049124194022003004


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


This article has been cited by other articles:


Home page
Journal of European Social PolicyHome page
J. Siegrist and M. Wahrendorf
Participation in socially productive activities and quality of life in early old age: findings from SHARE
Journal of European Social Policy, October 1, 2009; 19(4): 317 - 326.
[Abstract] [PDF]


Home page
Diabetes CareHome page
P. W. Tuerk, M. Mueller, and L. E. Egede
Estimating Physician Effects on Glycemic Control in the Treatment of Diabetes: Methods, effects sizes, and implications for treatment policy
Diabetes Care, May 1, 2008; 31(5): 869 - 873.
[Abstract] [Full Text] [PDF]


Home page
Journals of Gerontology Series B: Psychological Sciences and Social ScienceHome page
E. Takagi, M. Silverstein, and E. Crimmins
Intergenerational Coresidence of Older Adults in Japan: Conditions for Cultural Plasticity
J. Gerontol. B. Psychol. Sci. Soc. Sci., September 1, 2007; 62(5): S330 - S339.
[Abstract] [Full Text] [PDF]


Home page
Sociological Methods ResearchHome page
H. Dulmer
Experimental Plans in Factorial Surveys: Random or Quota Design?
Sociological Methods Research, February 1, 2007; 35(3): 382 - 409.
[Abstract] [PDF]


Home page
Research on Social Work PracticeHome page
G. Holden, G. Rosenberg, K. Barker, and P. Onghena
An Assessment of the Predictive Validity of Impact Factor Scores: Implications for Academic Employment Decisions in Social Work
Research on Social Work Practice, November 1, 2006; 16(6): 613 - 624.
[Abstract] [PDF]


Home page
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICSHome page
D. F. McCaffrey, J. R. Lockwood, D. Koretz, T. A. Louis, and L. Hamilton
Models for Value-Added Modeling of Teacher Effects
Journal of Educational and Behavioral Statistics, January 1, 2004; 29(1): 67 - 101.
[Abstract] [PDF]


Home page
AJPHHome page
A. V. Diez Roux
Investigating Neighborhood and Area Effects on Health
Am J Public Health, November 1, 2001; 91(11): 1783 - 1789.
[Abstract] [Full Text] [PDF]


Home page
Human RelationsHome page
J. de Jonge, G. J. P. van Breukelen, J. A. Landeweerd, and F. J. N. Nijhuis
Comparing Group and Individual Level Assessments of Job Characteristics in Testing the Job Demand-Control Model: A Multilevel Approach
Human Relations, January 1, 1999; 52(1): 95 - 122.
[Abstract] [PDF]


Home page
Sociological Methods ResearchHome page
T. VAN TILBURG
Interviewer Effects in the Measurement of Personal Network Size: A Nonexperimental Study
Sociological Methods Research, February 1, 1998; 26(3): 300 - 328.
[Abstract]


Home page
Health Educ BehavHome page
H. P. Schaalma, G. Kok, R. J. Bosker, G. S. Parcel, L. Peters, J. Poelman, and J. Reinders
Planned Development and Evaluation of AIDS/STD Education for Secondary School Students in the Netherlands: Short-Term Effects
Health Educ Behav, November 1, 1996; 23(4): 469 - 487.
[Abstract] [PDF]