Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 835

The DOI matches its Crossref record.

Correspondence Analysis: A Neglected Multivariate Method

Hill, M. O.·1974·Applied Statistics

Abstract

R. A. Fisher's canonical analysis of contingency tables is shown to be applicable to incidence data as well as to contingency tables, and is accordingly designated by another author's name “correspondence analysis”. In a theoretical section, the method is shown to be equivalent to a special case of Hotelling's canonical correlation analysis and also to a scale‐free variant of principal components analysis. A practical example is examined, and a number of practical considerations discussed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/2347127

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Hill, M. O.
Venue
Applied Statistics
Publisher
JSTOR
Published
1974
Volume
23
Issue
3
Pages
340
ISSN
0035-9254 (ISSN-L)
OpenAlex
W134855704
Cited by
835
References
0
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.