Dataset of measurable indicators of the Slovak state institutions’ websites

Autor: Veronika Bojdová, Viliam Ďuriš, Ľubomír Rybanský
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Data in Brief, Vol 55, Iss , Pp 110558- (2024)
Druh dokumentu: article
ISSN: 2352-3409
DOI: 10.1016/j.dib.2024.110558
Popis: The dataset contains 11 measurable indicators for the website evaluation from different points of view. These indicators were collected for 60 websites of the Slovak state institutions. It provides information about the directly measurable variables, which may affect or reflect the usability, popularity and visibility of the website. Most variables were measured by online tools. The dataset is a mixture of binary, ordinal, discrete numeric and continuous numeric variables, which gives many opportunities to analyze the relations between the measurable websites’ indicators. It can be used to find the structure consisting of latent variables, which cannot be directly measured (such as usability or popularity of the website). Another use is to find subgroups of state institutions, which have similar websites from some point of view.
Databáze: Directory of Open Access Journals