Accession Number : ADA137283

Title :   'Pairwise Balanced' Latin Square Should Always be Used for within-Subjects Designs.

Descriptive Note : Technical rept.,


Personal Author(s) : Ostrom,I M ; Isaac,P D ; McCann,C D

PDF Url : ADA137283

Report Date : 20 Dec 1983

Pagination or Media Count : 51

Abstract : The use of repeated measures designs in many areas of psychological research has prompted concern for the potential confounds inherent in the interpretation of treatments that have been included as within-subject variables. Of the solutions proposed for this problem, the most commonly adopted strategy is the use of Latin Square counterbalancing orders for treatment presentation. Traditional Latin Square designs ensure that each of the experimental treatments included as part of the within-subject factor(s) is administered in each serial position of the treatment sequence. The present paper presents a discussion of a novel technique for the generation of a subset of Latin Squares that control for two additional features that are seen to be important in many research situations, i.e., pairwise priority and distance. Such Latin Squares are referred to as 'pairwise balanced' Latin Squares. The relative advantages of using such Latin Squares in repeated measures designs are discussed. (Author)

Descriptors :   *Factor analysis, *Mathematical analysis, *Psychology, Fatigue, Residuals, Research management, Human resources, Statistical analysis, Analysis of variance, Mathematical models, Group dynamics, Fatigue(Physiology), Factorial design, Balance

Subject Categories : Psychology
      Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE