Methods of Analysing Binomial Data in a Two‐Factor Experiment Without Replication Compared by Computer Simulation

K. E. Kemp and D. F. Butcher

Journal of the Royal Statistical Society Series C, 1972, vol. 21, issue 3, 261-273

Abstract: Four common methods of analysing percentage (attribute) data were compared for the case of a 3 × 3 analysis without replication. Data with no interaction, linear‐ × ‐linear, linear‐ × ‐quadratic and quadratic‐ × ‐quadratic interactions were sequentially generated and the effects of interaction, and form of interaction, on the power of the F‐test, χ2 and Friedman's non‐parametric procedure were determined. Three‐way χ2 and Tukey's test for non‐additivity were compared for their power for finding interactions of various forms. In all cases the χ2 test proved superior.

Date: 1972
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2307/2346276

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:21:y:1972:i:3:p:261-273

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().