Alternative Multidimensional Scaling Methods for Large Stimulus Sets

Abstract

Seven data collection methods available for scaling large stimulus sets are evaluated via simulation under three scaling approaches, using data from a known configuration. Pick or order methods produced better recoveries than subjective methods, and grouping followed by sequential merging was superior to other grouping methods.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 97 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.