Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
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Perceptual and correspondence mapping
Techniques that visualise relationships among brands, attributes, preferences or categories in a reduced-dimensional map.
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Techniques that visualise relationships among brands, attributes, preferences or categories in a reduced-dimensional map.
Use methods only after defining the estimand, data structure, assumptions, validation plan and decision consequence.
Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
Read the full entry →Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
Read the full entry →Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
Read the full entry →Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
Read the full entry →Perceptual mapping is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Preference mapping is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Internal preference mapping is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →External preference mapping is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Multidimensional scaling is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Brand-attribute maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Biplots is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Joint-space maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Vector models is a method within perceptual and correspondence mapping. Techniques that visualise relationships among brands, attributes, preferences or categories in a reduced-dimensional map. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Ideal-point models is a method within perceptual and correspondence mapping. Techniques that visualise relationships among brands, attributes, preferences or categories in a reduced-dimensional map. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Unfolding analysis is a method within perceptual and correspondence mapping. Techniques that visualise relationships among brands, attributes, preferences or categories in a reduced-dimensional map. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Brand-positioning maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Competitive-landscape maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Association maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Browse linked method entries
Correspondence analysis
Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
Open methodSimple correspondence analysis
Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
Open methodMultiple correspondence analysis
Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
Open methodCanonical correspondence analysis
Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
Open methodDiscriminant correspondence analysis
Correspondence analysis maps associations in a contingency table by decomposing chi-square distances into dimensions. The map is descriptive and must be interpreted with contributions and inertia, not visual proximity alone.
Open methodPerceptual mapping
Perceptual mapping is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPreference mapping
Preference mapping is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodInternal preference mapping
Internal preference mapping is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodExternal preference mapping
External preference mapping is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMultidimensional scaling
Multidimensional scaling is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodBrand-attribute maps
Brand-attribute maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodBiplots
Biplots is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodJoint-space maps
Joint-space maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodVector models
Vector models is a method within perceptual and correspondence mapping. Techniques that visualise relationships among brands, attributes, preferences or categories in a reduced-dimensional map. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodIdeal-point models
Ideal-point models is a method within perceptual and correspondence mapping. Techniques that visualise relationships among brands, attributes, preferences or categories in a reduced-dimensional map. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodUnfolding analysis
Unfolding analysis is a method within perceptual and correspondence mapping. Techniques that visualise relationships among brands, attributes, preferences or categories in a reduced-dimensional map. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodBrand-positioning maps
Brand-positioning maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodCompetitive-landscape maps
Competitive-landscape maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodAssociation maps
Association maps is a statistical or analytical concept within perceptual and correspondence mapping. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodNo entries match this search.