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Two-Way Crossed Classification Without Interaction

In: The Analysis of Variance

Author

Listed:
  • Hardeo Sahai

    (University of Puerto Rico
    University of Veracruz)

  • Mohammed I. Ageel

    (King Saud University, Abha Campus)

Abstract

The major advantage of the one-way classification (one-factor design) discussed in the preceding chapter is its simplicity, which extends to the experimental layout, the model and assumptions underlying the analysis of variance, and the computations involved in the analysis. The major disadvantage of such a design is its relative inefficiency. The error variance will usually be large compared to that resulting from other designs. This is in part offset by the fact that no other design yields as many degrees of freedom for the error variance as does this design.

Suggested Citation

  • Hardeo Sahai & Mohammed I. Ageel, 2000. "Two-Way Crossed Classification Without Interaction," Springer Books, in: The Analysis of Variance, chapter 3, pages 125-175, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-1344-4_3
    DOI: 10.1007/978-1-4612-1344-4_3
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