Article: Scale development and validation for usage of social networking sites during COVID-19.
Technology in society
2022 Volume 70, Page(s) 102020
Abstract: This research aims to explore the usage of social networking sites in the midst of the COVID-19 pandemic. To achieve the objective, this study develops and validates a scale to measure the usage of social networking sites. Data was collected via a google ...
| Abstract | This research aims to explore the usage of social networking sites in the midst of the COVID-19 pandemic. To achieve the objective, this study develops and validates a scale to measure the usage of social networking sites. Data was collected via a google form link through social networking sites in India viz. Facebook, Instagram, Twitter, Telegram and WhatsApp. A total of 204 responses were found accurate and useable for the study. The population of the study includes people residing in India. Data was analyzed applying SPSS 20 and AMOS 22.0. To design and validate the scale, both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were used in conjunction with each other. The EFA results indicate a six-factor structure, explaining 73.43% of the cumulative variance, with all the items loading above 0.70. Thus, all the 20 items of six constructs meet this threshold limit. Therefore, this 20-items questionnaire emerges as an effective tool for assessing social networking usage. This study developed and validated the scale of usage of social networking sites to measure the six constructs informativeness, education, entertainment, shopping, socialization and social cause. Social media developers and analysts can use this scale from a technological standpoint to redesign and refine their websites for a better user interface. Since the research is primarily focused on India, extrapolating the results to other countries is difficult. |
|---|---|
| Language | English |
| Publishing date | 2022-06-16 |
| Publishing country | United States |
| Document type | Journal Article |
| ISSN | 0160-791X |
| ISSN | 0160-791X |
| DOI | 10.1016/j.techsoc.2022.102020 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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