Avoiding the dangers of averaging across subjects when using multidimensional scaling.

DOI10.1016/S0022-2496(02)00019-6zbMath1040.91082OpenAlexW2143477205WikidataQ57710711 ScholiaQ57710711MaRDI QIDQ1398360

Kenneth J. Pope, Michael D. Lee

Publication date: 29 July 2003

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0022-2496(02)00019-6

zbMATH Keywords

multidimensional scalingsimulation studiesBayesian measure

Mathematics Subject Classification ID

One- and multidimensional scaling in the social and behavioral sciences (91C15)

Related Items (1)

ConPar: a method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses

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