Using Generalizability Theory to Assess the Validity of the Evaluation Process

Using Generalizability Theory to Assess the Validity of the Evaluation Process Generalizability theory is used to assess the validity of the conceptualisation and implementation design of an evaluation programme carried out in the context of five care centres for homeless children. In order to measure the implementation process of the social intervention programme at three different observation moments, a rating scale questionnaire was developed. Crossed, three-facet random-effects designs (items × subjects × observation moments) for each care centre were analysed to develop different generalizability and decision studies and thus optimise the overall evaluation design. Given the generalizability analyses performed, the way in which generalizability results are complemented by log-linear analyses is discussed in relation to the evaluative objectives. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Using Generalizability Theory to Assess the Validity of the Evaluation Process

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2006 by Springer
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-005-1102-9
Publisher site
See Article on Publisher Site

Abstract

Generalizability theory is used to assess the validity of the conceptualisation and implementation design of an evaluation programme carried out in the context of five care centres for homeless children. In order to measure the implementation process of the social intervention programme at three different observation moments, a rating scale questionnaire was developed. Crossed, three-facet random-effects designs (items × subjects × observation moments) for each care centre were analysed to develop different generalizability and decision studies and thus optimise the overall evaluation design. Given the generalizability analyses performed, the way in which generalizability results are complemented by log-linear analyses is discussed in relation to the evaluative objectives.

Journal

Quality & QuantitySpringer Journals

Published: Jul 20, 2005

References

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