Testing for Association Using Multiple Response Survey Data: Approximate Procedures Based on the Rao-Scott Approach
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| Title: | Testing for Association Using Multiple Response Survey Data: Approximate Procedures Based on the Rao-Scott Approach |
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| Language: | English |
| Authors: | Thomas, D. Roland, Decady, Yves J. |
| Source: | International Journal of Testing. Mar 2004 4(1):43-59. |
| Availability: | Lawrence Erlbaum Associates, Inc., Journal Subscription Department, 10 Industrial Avenue, Mahwah, NJ 07430-2262. Tel: 800-926-6579 (Toll Free); e-mail: journals@erlbaum.com. |
| Peer Reviewed: | Y |
| Page Count: | 17 |
| Publication Date: | 2004 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Evaluation Methods, Statistical Analysis, Multivariate Analysis, Surveys, Correlation |
| ISSN: | 1530-5058 |
| Abstract: | This article discusses approximate tests of marginal association in 2-way tables in which one or both response variables admit multiple responses. Although multiple-response questions appear in all fields of research, including sociology, education, and marketing, the development of association tests that can be used with multiple-response data is very recent. A simple test procedure proposed by Agresti and Liu (1999) is extended to tests of association between 2 multiple-response variables, and it is shown that the procedure is a member of the first-order Rao-Scott family of corrected chi-squared statistics. A second-order Rao-Scott version of this procedure is developed. The Type I error control of both first- and second-order procedures is examined through calculation and simulation. |
| Abstractor: | Author |
| Entry Date: | 2005 |
| Access URL: | https://www.leaonline.com |
| Accession Number: | EJ683904 |
| Database: | ERIC |
| Abstract: | This article discusses approximate tests of marginal association in 2-way tables in which one or both response variables admit multiple responses. Although multiple-response questions appear in all fields of research, including sociology, education, and marketing, the development of association tests that can be used with multiple-response data is very recent. A simple test procedure proposed by Agresti and Liu (1999) is extended to tests of association between 2 multiple-response variables, and it is shown that the procedure is a member of the first-order Rao-Scott family of corrected chi-squared statistics. A second-order Rao-Scott version of this procedure is developed. The Type I error control of both first- and second-order procedures is examined through calculation and simulation. |
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| ISSN: | 1530-5058 |
