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Traditional Surveys Versus Digital Surveys: Perspectives of Library and Information Science Researchers on Best Method for Data Collection in Research
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  • Traditional Surveys Versus Digital Surveys: Perspectives of Library and Information Science Researchers on Best Method for Data Collection in Research
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Traditional Surveys Versus Digital Surveys: Perspectives of Library and Information Science Researchers on Best Method for Data Collection in Research

Authors

  • Bolaji David Oladokun Federal University of Technology, Ikot Abasi, Akwa Ibom, Nigeria https://orcid.org/0000-0002-7826-9187
  • Yusuf Ayodeji Ajani University of Abuja, The Federal Capital Territory, Nigeria https://orcid.org/0000-0002-2786-4461
  • Adeyinka Tella University of Ilorin, Ilorin, Nigeria/University of South Africa, Pretoria, the Republic of South Africa https://orcid.org/0000-0002-5382-4471

DOI:

https://doi.org/10.12775/FT.2025.001

Keywords

Traditional surveys, Digital surveys, LIS research, Data collection methods, Nigeria

Abstract

Aims: This study examined the preferences of Library and Information Science (LIS) researchers in Nigeria regarding traditional (paper-based) versus digital (online) survey methods for data collection in research. The primary aim was to assess the perceived advantages, drawbacks, contextual influences, and practical challenges associated with both survey methodologies.

Method: A mixed-method research design was employed, involving quantitative data from structured questionnaires and qualitative insights from open-ended responses. The study utilized convenience sampling techniques, targeting LIS researchers across Nigerian universities through the NALISE WhatsApp platform. Data were collected via Google Forms and analyzed using descriptive statistics and thematic analysis.

Results: Findings revealed a slight preference for digital surveys (53.2%) over traditional surveys (46.8%), largely due to the benefits such as time efficiency, cost-effectiveness, broader reach, and enhanced data analysis capabilities. However, traditional surveys were preferred for their data accuracy and ease of administration in low-tech contexts. Key factors influencing researchers’ preferences included researcher expertise, population characteristics, time constraints, and technological infrastructure. Major challenges identified were difficulties in ensuring data quality, limited access to technology, and insufficient training in survey design. Despite the promise of digital surveys, representativeness, technical issues, and ethical concerns persist.

Conclusion: The studyconcluded that there is no one-size-fits-all approach to survey methodology. While digital tools offer significant operational advantages, they must be balanced against contextual limitations such as digital divides, technical capacity, and representativeness. Traditional methods retain value, especially where trust, accuracy, or accessibility is paramount. A hybrid or adaptive survey approach, supported by institutional training, technological investment, and ethical oversight, is recommended to optimize research effectiveness and inclusiveness in the Nigerian LIS context.

Author Biographies

Bolaji David Oladokun, Federal University of Technology, Ikot Abasi, Akwa Ibom, Nigeria

Bolaji David Oladokun is a Lecturer at the Department of Library and Information Technology, Federal University of Technology, Ikot Abasi, Akwa Ibom State of Nigeria. He holds a First-Class degree in Library and Information Science and a Diploma in Mass Communication with distinction. He also has a Master’s degree in Library and Information Science from Ignatius Ajuru University of Education in Port Harcourt, Nigeria, where he graduated with distinction. He is also a Certified Librarian in Nigeria (CLN) and a Nigerian Library Association (NLA) member as well as a member of the Nigerian Association of Library and Information Science Educators (NALISE) and the Association for Information Science and Technology (ASIS&T). He has authored over 150 articles published in accredited journals, conference proceedings, and book chapters. He also has three books to his credit in the library and information science field. He can be contacted at: Bolaji.oladokun@yahoo.com

Yusuf Ayodeji Ajani, University of Abuja, The Federal Capital Territory, Nigeria

Yusuf Ayodeji Ajani is a Lecturer of 2 level at the Department of Library and Information Science, University of Abuja, FCT, Nigeria, and a postgraduate student at the Department of Library and Information Science, University of Ilorin, Ilorin, Nigeria. He has an impressive publication record, with over 70 articles published in renowned local and international journals in the field of Education and Librarianship. In 2023, he received the esteemed Emerald Literati Award in recognition of his contributions to scholarly research. For inquiries and potential collaborations, please contact Ayodeji at yusuf.ajani@uniabuja.edu.ng.

Adeyinka Tella, University of Ilorin, Ilorin, Nigeria/University of South Africa, Pretoria, the Republic of South Africa

Adeyinka Tella is a distinguished scholar affiliated with the Department of Library and Information Science at the University of Ilorin, Nigeria, and serves as a research fellow at the Department of Information Science, University of South Africa, Pretoria. He has an impressive academic portfolio, with over 300 articles published in renowned local and international journals in the field of librarianship. In recognition of his outstanding research contributions, Tella was awarded the prestigious Emerald Literati Award in 2023. He also holds a C2 rating as a researcher, conferred by the National Research Foundation of South Africa. Known for his collaborative spirit, Tella is approachable and open to partnerships across various disciplines (tellayinkaedu@yahoo.com).

References

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Folia Toruniensia

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Published

2025-11-04

How to Cite

Oladokun, B., Ajani, Y., & Tella, A. (2025). Traditional Surveys Versus Digital Surveys: Perspectives of Library and Information Science Researchers on Best Method for Data Collection in Research. Folia Toruniensia, 25, 13–37. https://doi.org/10.12775/FT.2025.001
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