1982
DOI: 10.1080/00438243.1982.9979848
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Correspondence analysis: An alternative to principal components

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Cited by 74 publications
(27 citation statements)
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“…Since we had to analyze together 39 assemblages and more than ten variables (taxa ; Table 3), correspondence analysis (CA) was employed as the most suitable tool to achieve this purpose. The simultaneous consideration of multiple categorical variables can reveal relationships that would not be detected in a series of pair comparisons of variables (Bølviken et al, 1982;Clouse, 1999;Smith and Munro, 2009). CA allows the introduction of small assemblages, as the process characterizes each row (assemblages) and each column (taxa) by its profile (relative frequencies).…”
Section: Analysis Of the Faunal Spectramentioning
confidence: 96%
“…Since we had to analyze together 39 assemblages and more than ten variables (taxa ; Table 3), correspondence analysis (CA) was employed as the most suitable tool to achieve this purpose. The simultaneous consideration of multiple categorical variables can reveal relationships that would not be detected in a series of pair comparisons of variables (Bølviken et al, 1982;Clouse, 1999;Smith and Munro, 2009). CA allows the introduction of small assemblages, as the process characterizes each row (assemblages) and each column (taxa) by its profile (relative frequencies).…”
Section: Analysis Of the Faunal Spectramentioning
confidence: 96%
“…CA was first used by European archaeologists and then later adopted by American scholars to create frequency seriations of archaeological assemblages in diverse regional contexts (e.g., Baxter, 1994Baxter, , 2003Bølviken et al, 1982;Djindijan, 1985;Duff, 1996;Kintigh et al, 2004;Madsen, 1988;Smith and Neiman, 2007). CA has a number of advantages over other techniques employed in seriation in that it works directly with type or attribute frequencies, is capable of monitoring multiple influences in a data set concurrently (e.g., time, space, function, etc.…”
Section: Introductionmentioning
confidence: 99%
“…A full description of the statistical basis of CA is not presented here, as it has been detailed in numerous other publications (Bølviken et al 1982;Shennan 1988;Ter Braak 1986). Suffice it to say that CA is a multivariate statistical method that employs a process of ordination to arrange samples along axes based on their combined compositions.…”
Section: Methodsmentioning
confidence: 99%