An Analysis of Technostress Factors Among Teachers in Hunan, China through Statistical Methods and K-means Clustering

dc.contributor	Universiti Sains Malaysia
dc.contributor	Universiti Sains Malaysia
dc.contributor.author	Siyu Li
dc.contributor.author	Chia Yean Lim
dc.date.accessioned	2024-03-08T01:23:37Z
dc.date.available	2024-03-08T01:23:37Z
dc.description	This research identified the significant technostress factors among the teachers in Hunan, China, and clustered the teachers into various clusters, based on the identified technostress factors. The technostress factors include techno-overload, techno-complexity, techno-insecurity, techno-uncertainty, and new technology adoption. Quantitative analysis via questionnaire was adopted to gather the Hunan, China’s teachers’ agreement on five technostress factors. The collected 507 responses to the questionnaire are given in the spreadsheet. The responses are measured with statistical methods such as Pearson Correlation and Multiple Regression Analysis. The data could also be used to perform K-Means clustering by using Euclidean and Manhattan distance methods with K = 5.
dc.identifier.uri	https://opendata.usm.my/handle/123456789/74703
dc.language.iso	en
dc.relation.title	An Analysis of Technostress Factors Among Teachers in Hunan, China through Statistical Methods and K-means Clustering
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject	Technostress
dc.subject	Quantitative Survey
dc.title	An Analysis of Technostress Factors Among Teachers in Hunan, China through Statistical Methods and K-means Clustering
dc.type	Dataset

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