Text · dataset · 2018
Data sets and visualizations from Carrizosa, Guerrero, Romero Morales and Satorra (2018) "Enhancing Interpretability in Factor Analysis by Means of Mathematical Optimization" (article/paper under submission)
Listed in DataCite
A natural approach to interpret the latent variables arising in Factor Analysis, called factors, consists of measuring explanatory variables over the same samples and assign (groups of) them to the factors.
Description
In this paper, we propose an optimization-based procedure to obtain the best assignment of the explanatory variables to a transformation of the factors, either including some information provided by the user based on his/her expertise or not.
A new quality criterion to assess the interpretation to the factors given this way is also introduced. Our experimental results demonstrate the usefulness of our methodology.
Links
Where it is published
- Repository landing page dataverse.harvard.edu/citation?persistentId=doi%3A10.7910%2FDVN%2FSJBHYG ↗
landing page · from DataCite
- DOI doi.org/10.7910/dvn/sjbhyg ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Zero v1.0 Universal creativecommons.org/publicdomain/zero/1.0/legalcode ↗
license · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.7910/dvn/sjbhyg ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.7910/dvn/sjbhyg ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Economics and business
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.7910/dvn/sjbhyg | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| concepts[field].fos:economics-and-business | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| version_label | source · DataCite | connector:datacite@1.0.0 |