Studying coincidences with network analysis and other multivariate tools

In this article, I introduce a new user-written command (coin) to study data structures. coin is founded on a combination of statistical and social network analyses. The purpose of this procedure is to ascertain the most frequent events in a given set of scenarios and to study the relationships between them. coin uses a variety of procedures, such as multidimensional scaling, principal components analysis, correspondence analysis, biplot representations, agglomeration techniques, and network analysis algorithms. Because of this, it works with dichotomous variables and can be applied to the exploratory analysis of questionnaires, the study of textual networks, the review of database contents, and the comparison of different statistical analyses of interdependence.


Issue Date:
2015
Publication Type:
Journal Article
DOI and Other Identifiers:
Record Identifier:
https://ageconsearch.umn.edu/record/281331
ISSN:
1536-8634
Language:
English
Published in:
Stata Journal, 15, 4
Page range:
1118-1156

Record appears in:



 Record created 2019-01-18, last modified 2020-10-28

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