Salīdzināt metodes

	Skalings pēc Tērstona	Atbilstības analīze
Nozare	Statistika	Statistika
Saime	Latent structure	Latent structure
Izcelsmes gads	1927	1984
Autors	Louis Leon Thurstone	Jean-Paul Benzécri; Michael Greenacre
Tips	Psychological measurement and attitude scaling model	Exploratory multivariate technique for categorical data
Pirmavots	Thurstone, L. L. (1927). A law of comparative judgment. Psychological Review, 34(4), 273–286.	Greenacre, M. J. (1984). Theory and Applications of Correspondence Analysis. Academic Press. ISBN: 978-0-12-299050-2
Citi nosaukumi	Law of Comparative Judgment, Thurstone's Method of Equal-Appearing Intervals, Case V Scaling, Thurstone Ölçekleme	CA, Simple Correspondence Analysis, Reciprocal Averaging, Karşılıklı Uyum Analizi
Saistītās	2	2
Kopsavilkums	Thurstone Scaling, formally the Law of Comparative Judgment, is a psychometric model introduced by Louis Leon Thurstone in 1927 for deriving interval-level scale values from pairwise comparison data. By assuming that each stimulus evokes a normally distributed discriminal process on a psychological continuum, the method converts proportions of preference judgments into z-scores and recovers the latent positions of stimuli, enabling rigorous attitude and preference measurement.	Correspondence Analysis (CA) is an exploratory multivariate technique for visualizing the association structure of a two-way contingency table. Developed systematically by Jean-Paul Benzécri in France during the 1960s–1970s and brought to an English-language audience by Michael Greenacre in 1984, CA decomposes the chi-square statistic of a cross-tabulation to produce a low-dimensional joint display — called a biplot — in which rows and columns are represented as points whose proximities reflect their associations.