Abstract
This chapter is split into two major parts followed by a few real-data examples. Section 10.1 covers fundamental issues about multivariate universes of generalization and D studies. Section 10.2 treats a selected set of other issues that, in most cases, are probably less central than the issues covered in Section 10.1. All of the issues, and most of the results and procedures, discussed in this chapter apply to both balanced and unbalanced multivariate D study designs. However, attention is focused primarily on balanced designs in the sense that, for each of the fixed levels in the D study, there is a balanced variance components design. Multivariate unbalanced designs are the subject of Chapter 11.1
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© 2001 Springer-Verlag Berlin Heidelberg
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Brennan, R.L. (2001). Multivariate D Studies. In: Generalizability Theory. Statistics for Social Sciences and Public Policy. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3456-0_10
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DOI: https://doi.org/10.1007/978-1-4757-3456-0_10
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2938-9
Online ISBN: 978-1-4757-3456-0
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