Document Type
Article
Department
Community and Global Health (CGU)
Publication Date
4-1984
Disciplines
Categorical Data Analysis | Design of Experiments and Sample Surveys | Investigative Techniques | Quantitative, Qualitative, Comparative, and Historical Methodologies
Abstract
It is not always possible, especially in large-scale evaluation research, to ensure that random assignment will produce groups that are comparable on any number of potentially important factors. Typically, gaining comparability has been achieved only at the expense of random assignment. A method is presented that allows multivariate comparability while making only minimal restrictions on randomization. The procedure is demonstrated in the context of assigning 63 aggregated units (schools) to 28 experimental and control conditions. Good comparability of groups for all primary main effects and interactions was verified for 15 individual variables.
Rights Information
© 1984 Sage Publications, Inc.
DOI
10.1177/0193841X8400800206
Recommended Citation
Graham, J.W., Flay, B.R., Johnson, C.A., Hansen, W.B., & Collins, L.M. Group comparability: A multi-attribute utility measurement approach to the use of random assignment with small numbers of aggregated units. Eval Rev, 8(1), 247-260, 1984.
Included in
Categorical Data Analysis Commons, Design of Experiments and Sample Surveys Commons, Investigative Techniques Commons, Quantitative, Qualitative, Comparative, and Historical Methodologies Commons
