A validation of web-based surveys for exploratory research in the areas of business and entrepreneurship

Vasilios Stouraitis; Mior Harun Mior Harris; Markos Kyritsis; Pattana Boonchoo

doi:10.1109/CTIT.2018.8649512

A validation of web-based surveys for exploratory research in the areas of business and entrepreneurship

Vasilios Stouraitis, Mior Harun Mior Harris, Markos Kyritsis, Pattana Boonchoo

Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

241 Downloads (Pure)

Abstract

In this study, we demonstrate that web-based surveys are suitable for data collection in academic Business-related research. Using one of our datasets from an online study on entrepreneurial orientation, we investigated the construct validity and reliability of the instrument used to collect the data. Our analysis supports that for 28 Likert-scaled questionnaire items, a sample size of 332 people was adequate to conduct principle component analysis (PCA) and load the items into five components that are supported by literature. Cronbach's alpha was consistently high $\pmb{(\alpha=0.92)}$ , with no evidence that the reliability would increase if any of the survey items were dropped. We therefore conclude that for short web-based surveys ( $\pmb{< 30}$ items), a sample size of $\pmb{> 300}$ is suitable for exploratory factor analysis.

Original language	English
Title of host publication	2018 Fifth HCT Information Technology Trends (ITT)
Publisher	IEEE
Pages	91-93
Number of pages	3
ISBN (Electronic)	9781538671474
ISBN (Print)	9781538671481
DOIs	https://doi.org/10.1109/CTIT.2018.8649512
Publication status	Published - 24 Feb 2019

Publication series

Name	ITT 2018 - Information Technology Trends: Emerging Technologies for Artificial Intelligence

Keywords

principle Component Analysis
reliability
survey
validity
web-based
Principle Component Analysis
Validity
Survey
Web-based
Reliability

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications

Documents and Links

10.1109/CTIT.2018.8649512

Stouraitis, V. et al (2019) A Validation of Web-based Surveys for Exploratory Research in the Areas of Business and Entrepreneurship
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Author accepted manuscript, 391 KB

Cite this

Stouraitis, V., Mior Harris, M. H., Kyritsis, M., & Boonchoo, P. (2019). A validation of web-based surveys for exploratory research in the areas of business and entrepreneurship. In 2018 Fifth HCT Information Technology Trends (ITT) (pp. 91-93). (ITT 2018 - Information Technology Trends: Emerging Technologies for Artificial Intelligence). IEEE. https://doi.org/10.1109/CTIT.2018.8649512

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abstract = "In this study, we demonstrate that web-based surveys are suitable for data collection in academic Business-related research. Using one of our datasets from an online study on entrepreneurial orientation, we investigated the construct validity and reliability of the instrument used to collect the data. Our analysis supports that for 28 Likert-scaled questionnaire items, a sample size of 332 people was adequate to conduct principle component analysis (PCA) and load the items into five components that are supported by literature. Cronbach's alpha was consistently high $\pmb{(\alpha=0.92)}$ , with no evidence that the reliability would increase if any of the survey items were dropped. We therefore conclude that for short web-based surveys ( $\pmb{< 30}$ items), a sample size of $\pmb{> 300}$ is suitable for exploratory factor analysis.",

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Stouraitis, V, Mior Harris, MH, Kyritsis, M & Boonchoo, P 2019, A validation of web-based surveys for exploratory research in the areas of business and entrepreneurship. in 2018 Fifth HCT Information Technology Trends (ITT). ITT 2018 - Information Technology Trends: Emerging Technologies for Artificial Intelligence, IEEE, pp. 91-93. https://doi.org/10.1109/CTIT.2018.8649512

A validation of web-based surveys for exploratory research in the areas of business and entrepreneurship. / Stouraitis, Vasilios; Mior Harris, Mior Harun; Kyritsis, Markos et al.
2018 Fifth HCT Information Technology Trends (ITT). IEEE, 2019. p. 91-93 (ITT 2018 - Information Technology Trends: Emerging Technologies for Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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A validation of web-based surveys for exploratory research in the areas of business and entrepreneurship

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Documents and Links

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