multiple abstract variance analysisの例文
- Additional contributions include the Coefficient of Profile Similarity ( taking account of shape, scatter, and level of two score profiles ); P-technique factor analysis based on repeated measurements of a single individual ( sampling of variables, rather than sampling of persons ); dR-technique factor analysis for elucidating change dimensions ( including transitory emotional states, and longer-lasting mood states ); the Taxonome program for ascertaining the number and contents of clusters in a data set; the Rotoplot program for attaining maximum simple structure factor pattern solutions . the Basic Data Relations Box ( assessing dimensions of experimental designs ), the group syntality construct ( " personality " of a group ), the triadic theory of cognitive abilities, the Ability Dimension Analysis Chart ( ADAC ), and Multiple Abstract Variance Analysis ( MAVA ), with " specification equations " to embody genetic and environmental variables and their interactions.
