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Reliability Analysis of an Evaluation Experiment on Cultural Websites

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Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection (EuroMed 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12642))

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Abstract

This paper describes the evaluation experiment of the websites of museums’ conservation labs. For this purpose an experiment has been implemented with the participation of 81 subjects and a multi-criteria decision-making model has been used for processing the results and draw conclusions about the electronic presence of the conservation labs of museums. However, the main focus of the paper is on performing a reliability analysis of the whole experiment. This analysis involved two tests, one for examining the reliability of the sample used in the evaluation experiment and another for examining the reliability of the questionnaire provided to the subjects of the evaluation.

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Author information

Authors and Affiliations

  1. Department of Environment, Ionian University, 29100, Zakynthos, Greece

    Katerina Kabassi, Athanasios Botonis & Christos Karydis

Authors
  1. Katerina Kabassi
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  2. Athanasios Botonis
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  3. Christos Karydis
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Corresponding author

Correspondence to Katerina Kabassi .

Editor information

Editors and Affiliations

  1. Cyprus University of Technology, Limassol, Cyprus

    Marinos Ioannides

  2. Arlington, VA, USA

    Eleanor Fink

  3. USI – Università della Svizzera italiana, Lugano, Switzerland

    Lorenzo Cantoni

  4. Curtin University, Perth, WA, Australia

    Erik Champion

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Kabassi, K., Botonis, A., Karydis, C. (2021). Reliability Analysis of an Evaluation Experiment on Cultural Websites. In: Ioannides, M., Fink, E., Cantoni, L., Champion, E. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2020. Lecture Notes in Computer Science(), vol 12642. Springer, Cham. https://doi.org/10.1007/978-3-030-73043-7_60

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  • DOI: https://doi.org/10.1007/978-3-030-73043-7_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73042-0

  • Online ISBN: 978-3-030-73043-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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