Space tourism flow generated from social media data

Abstract

The data is for empirical studies derived from a related research article about space tourism [1], which is a conceptual article with a different aim of economic measurement scale. Most space tourism research is conceptual because data from the nascent industry is limited [2]. Thus this data is constrictive for conducting empirical studies to contribute to quantitative analysis in space tourism [3]. Data from this study were collected by recruiting 361 respondents through snowball and convenient sampling targeted to samples interested in space tourism; 339 responses were adopted after the valid screening of missing data or data bias [4]. Targeted groups of potential space tourism customers were investigated to collect data through a designed questionnaire on the platform, Wenjuanxing, with a majority population database providing functions equivalent to Amazon Mechanical Turk [2]. The reliability and validity of all constructs showed that the questionnaire was proper for measurement [3]. Data analysis applied the structural equation model with Mplus to examine the CFA model and research hypothesis. Structural equation modeling was used to conduct the hypotheses test and model fitness through the statistical tool Mplus. Results imply that the data is suitable for conducting replication studies. To enlighten space tourism emergence studies, this data shows its importance for further research models [5].

Keywords

• Space tourism
• Behavioral intention
• Flow
• Social media
• Attitude