Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 402

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Fitting One Matrix to Another Under Choice of a Central Dilation and a Rigid Motion

Schönemann, Peter H., Carroll, Robert M.·1970·Psychometrika

Abstract

A least squares method is presented for fitting a given matrix A to another given matrix B under choice of an unknown rotation, an unknown translation, and an unknown central dilation. The procedure may be useful to investigators who wish to compare results obtained with nonmetric scaling techniques across samples or who wish to compare such results with those obtained by conventional factor analytic techniques on the same sample.

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 · 10.1007/bf02291266

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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

Cites

Research works printed but not linked: 14

  1. 10.1007/BF02289565 · DOI · Paper page
  2. 10.1007/BF02289630 · DOI · Paper page
  3. Schönemann, 1965, On the formal matrix differentiation of traces and determinants
  4. Carroll, R. M. A Monte Carlo comparison of nonmetric multidimensional scaling and factor analysis. Doctoral dissertation, The Ohio State University, 1969.
  5. 10.1007/BF02288937 · doi:10.1007/bf02288937
  6. 10.1111/j.1744-6570.1962.tb01860.x · DOI
  7. 10.1207/s15327906mbr0204_6 · DOI
  8. 10.1007/BF02289451 · DOI · Paper page
  9. 10.1111/j.2044-8317.1966.tb00367.x · doi:10.1111/j.2044-8317.1966.tb00367.x
  10. 10.1007/BF02289455 · DOI · Paper page
  11. Anderson, 1958, An introduction to multivariate statistical analysis
  12. 10.1007/BF02288367 · DOI · Paper page
  13. 10.1007/BF02289694 · DOI · Paper page
  14. 10.1007/BF02288918 · DOI · Paper page

Cited by

See all 402

Metadata

Authors
Schönemann, P. H., & Carroll, R. M.
Venue
Psychometrika
Published
1970-06
Volume
35
Issue
2
Pages
245-255
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W2079255216
Cited by
402
References
1
FWCI
4.83
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.