223. Note: Applications of Nonorthogonal Designs to Situations where Treatments or Blocks are of Unequal Status or Size

N. A. Goodchild

doi:10.2307/2528194

223. Note: Applications of Nonorthogonal Designs to Situations where Treatments or Blocks are of Unequal Status or Size

Biometrics ◽

10.2307/2528194 ◽

1966 ◽

Vol 22 (3) ◽

pp. 629

Author(s):

N. A. Goodchild

Keyword(s):

Nonorthogonal Designs

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Analysis of nonorthogonal designs: The 2-super(k ) factorial experiment.

Psychological Bulletin ◽

10.1037/0033-2909.91.1.190 ◽

1982 ◽

Vol 91 (1) ◽

pp. 190-192 ◽

Cited By ~ 6

Author(s):

Paul Horst ◽

Allen L. Edwards

Keyword(s):

Factorial Experiment ◽

Nonorthogonal Designs

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Efficient Experimental Design with Marketing Research Applications

Journal of Marketing Research ◽

10.1177/002224379403100408 ◽

1994 ◽

Vol 31 (4) ◽

pp. 545-557 ◽

Cited By ~ 143

Author(s):

Warren F. Kuhfeld ◽

Randall D. Tobias ◽

Mark Garratt

Keyword(s):

Experimental Design ◽

Discrete Choice ◽

Relative Efficiency ◽

Marketing Research ◽

Orthogonal Arrays ◽

Experimental Designs ◽

Design Algorithms ◽

Nonorthogonal Designs

The authors suggest the use of D-efficient experimental designs for conjoint and discrete-choice studies, discussing orthogonal arrays, nonorthogonal designs, relative efficiency, and nonorthogonal design algorithms. They construct designs for a choice study with asymmetry and interactions and for a conjoint study with blocks and aggregate interactions.

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Adjusted orthogonality in nonorthogonal designs

Biometrika ◽

10.1093/biomet/64.2.339 ◽

1977 ◽

Vol 64 (2) ◽

pp. 339-345 ◽

Cited By ~ 24

Author(s):

J. A. ECCLESTON ◽

K. G. RUSSELL

Keyword(s):

Adjusted Orthogonality ◽

Nonorthogonal Designs

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Nonorthogonal Analysis of Variance Programs: An Evaluation

Journal of Educational Statistics ◽

10.3102/10769986004002161 ◽

1979 ◽

Vol 4 (2) ◽

pp. 161-185

Author(s):

James D. Hosking ◽

Robert M. Hamer

Keyword(s):

Analysis Of Variance ◽

Computer Programs ◽

Ease Of Use ◽

Nonorthogonal Designs

Recently, at least four methods have been suggested for the analysis of nonorthogonal designs. However, even researchers who have decided which method is appropriate often do not know which computer programs are capable of performing the desired analysis. In addition, available programs differ widely in their accuracy and ease of use. We have evaluated some widely used ANOVA computer programs with respect to their capabilities for performing analyses using all four methods, their accuracy in performing these analyses, and other characteristics which influence their utility.

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