WordListsAnalytics: An R package for multiple data analysis of Property Listing Tasks

Cristobal Heredia; Sebastian Moreno; Enrique Canessa; Sergio Chaigneau

doi:10.1016/j.softx.2024.101842

WordListsAnalytics: An R package for multiple data analysis of Property Listing Tasks

Cristobal Heredia, Sebastian Moreno, Enrique Canessa, Sergio Chaigneau

Research output: Contribution to journal › Article › peer-review

Abstract

WordListsAnalytics allows sounder analyses of data collected in Property listing tasks, Semantic fluency tasks (SFT), and other related methods by calculating sample sizes to attain a specified coverage and estimating population parameters that characterize those tasks. Relatedly, WordListsAnalytics calculates agreement probability between pairs of concepts, which gauges how similar are the listed properties and counts the number of clusters and shifts in SFT data.

Original language	English
Article number	101842
Journal	SoftwareX
Volume	27
DOIs	https://doi.org/10.1016/j.softx.2024.101842
State	Published - Sep 2024
Externally published	Yes

Keywords

Cluster and shift count
Coverage
Parameter estimation
Property Listing Task
Sample size
Semantic fluency task

Access to Document

10.1016/j.softx.2024.101842

Cite this

@article{00e70b474f014c45b9cf3baf995e6f68,

title = "WordListsAnalytics: An R package for multiple data analysis of Property Listing Tasks",

abstract = "WordListsAnalytics allows sounder analyses of data collected in Property listing tasks, Semantic fluency tasks (SFT), and other related methods by calculating sample sizes to attain a specified coverage and estimating population parameters that characterize those tasks. Relatedly, WordListsAnalytics calculates agreement probability between pairs of concepts, which gauges how similar are the listed properties and counts the number of clusters and shifts in SFT data.",

keywords = "Cluster and shift count, Coverage, Parameter estimation, Property Listing Task, Sample size, Semantic fluency task",

author = "Cristobal Heredia and Sebastian Moreno and Enrique Canessa and Sergio Chaigneau",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors",

year = "2024",

month = sep,

doi = "10.1016/j.softx.2024.101842",

language = "English",

volume = "27",

journal = "SoftwareX",

issn = "2352-7110",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - WordListsAnalytics

T2 - An R package for multiple data analysis of Property Listing Tasks

AU - Heredia, Cristobal

AU - Moreno, Sebastian

AU - Canessa, Enrique

AU - Chaigneau, Sergio

PY - 2024/9

Y1 - 2024/9

N2 - WordListsAnalytics allows sounder analyses of data collected in Property listing tasks, Semantic fluency tasks (SFT), and other related methods by calculating sample sizes to attain a specified coverage and estimating population parameters that characterize those tasks. Relatedly, WordListsAnalytics calculates agreement probability between pairs of concepts, which gauges how similar are the listed properties and counts the number of clusters and shifts in SFT data.

AB - WordListsAnalytics allows sounder analyses of data collected in Property listing tasks, Semantic fluency tasks (SFT), and other related methods by calculating sample sizes to attain a specified coverage and estimating population parameters that characterize those tasks. Relatedly, WordListsAnalytics calculates agreement probability between pairs of concepts, which gauges how similar are the listed properties and counts the number of clusters and shifts in SFT data.

KW - Cluster and shift count

KW - Coverage

KW - Parameter estimation

KW - Property Listing Task

KW - Sample size

KW - Semantic fluency task

UR - http://www.scopus.com/inward/record.url?scp=85200639820&partnerID=8YFLogxK

U2 - 10.1016/j.softx.2024.101842

DO - 10.1016/j.softx.2024.101842

M3 - Article

AN - SCOPUS:85200639820

SN - 2352-7110

VL - 27

JO - SoftwareX

JF - SoftwareX

M1 - 101842

ER -

WordListsAnalytics: An R package for multiple data analysis of Property Listing Tasks

Abstract

Keywords

Access to Document

Fingerprint

Cite this