Statistical measurement of trees’ similarity
Journal article
Sabbaghan, S., Cecil Eng Huang Chua and Lesley Ann Gardner (2020). Statistical measurement of trees’ similarity. Quality and Quantity: international journal of methodology. https://doi.org/10.1007/s11135-019-00957-8
Authors | Sabbaghan, S., Cecil Eng Huang Chua and Lesley Ann Gardner |
---|---|
Abstract | Diagnostic theories are fundamental to Information Systems practice and are represented in trees. One way of creating diagnostic trees is by employing independent experts to construct such trees and compare them. However, good measures of similarity to compare diagnostic trees have not been identified. This paper presents an analysis of the suitability of various measures of association to determine the similarity of two diagnostic trees using bootstrap simulations. We find that three measures of association, Goodman and Kruskal’s Lambda, Cohen’s Kappa, and Goodman and Kruskal’s Gamma (J Am Stat Assoc 49(268):732–764, 1954) each behave differently depending on what is inconsistent between the two trees thus providing both measures for assessing alignment between two trees developed by independent experts as well as identifying the causes of the differences. |
Keywords | Diagnostic theory; Tree; Threshold building |
Year | 2020 |
Journal | Quality and Quantity: international journal of methodology |
Publisher | Springer |
ISSN | 0033-5177 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s11135-019-00957-8 |
Publication dates | |
Online | 03 Jan 2020 |
Publication process dates | |
Accepted | 15 Dec 2019 |
Deposited | 09 Jan 2020 |
Publisher's version | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/88w67
Download files
98
total views95
total downloads0
views this month1
downloads this month