|
Sign In to gain access to subscriptions and/or personal tools.
|
Intraclass Correlation Values for Planning Group-Randomized Trials in Education
Larry V. Hedges
Northwestern University
E. C. Hedberg
University of Chicago
Experiments that assign intact groups to treatment conditions are increasingly common in social research. In educational research, the groups assigned are often schools. The design of group-randomized experiments requires knowledge of the intraclass correlation structure to compute statistical power and sample sizes required to achieve adequate power. This article provides a compilation of intraclass correlation values of academic achievement and related covariate effects that could be used for planning group-randomized experiments in education. It also provides variance component information that is useful in planning experiments involving covariates. The use of these values to compute the statistical power of group-randomized experiments is illustrated.
Key Words: intraclass correlation cluster randomized trials experiments statistical power
Educational Evaluation and Policy Analysis, Vol. 29, No. 1,
60-87 (2007)
DOI: 10.3102/0162373707299706

CiteULike Connotea Del.icio.us Digg Reddit Technorati What's this?
This article has been cited by other articles:

|
 |

|
 |
 
S. Konstantopoulos
Incorporating Cost in Power Analysis for Three-Level Cluster-Randomized Designs
Eval Rev,
August 1, 2009;
33(4):
335 - 357.
[Abstract]
[PDF]
|
 |
|

|
 |

|
 |
 
M. A. Rotondi and A. Donner
Sample Size Estimation in Cluster Randomized Educational Trials: An Empirical Bayes Approach
Journal of Educational and Behavioral Statistics,
June 1, 2009;
34(2):
229 - 237.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
P. Z. Schochet
Statistical Power for Regression Discontinuity Designs in Education Evaluations
Journal of Educational and Behavioral Statistics,
June 1, 2009;
34(2):
238 - 266.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. A. Durlak
How to Select, Calculate, and Interpret Effect Sizes
J. Pediatr. Psychol.,
February 16, 2009;
(2009)
jsp004v1.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. W. Raudenbush
Advancing Educational Policy by Advancing Research on Instruction
American Educational Research Journal,
March 1, 2008;
45(1):
206 - 230.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
L. V. Hedges
Effect Sizes in Cluster-Randomized Designs
Journal of Educational and Behavioral Statistics,
December 1, 2007;
32(4):
341 - 370.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
L. V. Hedges
Correcting a Significance Test for Clustering
Journal of Educational and Behavioral Statistics,
June 1, 2007;
32(2):
151 - 179.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
H. S. Bloom, L. Richburg-Hayes, and A. R. Black
Using Covariates to Improve Precision for Studies That Randomize Schools to Evaluate Educational Interventions
Educational Evaluation and Policy Analysis,
March 1, 2007;
29(1):
30 - 59.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|
|