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MedISA

Medical Centre Employee Centered Information Security Awareness

Catalogue

As part of the MedISA research, various instruments for measuring Information Security Awareness have been compiled in a catalogue, which can be used for further research and practical applications.

The compiled instruments provide evidence of reliability and validity; however, the scientific quality criteria vary. For more information, please refer to the associated publications.

Cataloguetitles.catalogue | MedISA

Mobile Information Security Awareness Scale (MISAS)

Authors: Erdoğdu F., Gökoğlu S., Kara M.
Publication Title: “What about users?”: Development and validation of the mobile information security awareness scale (MISAS).
DOI: https://doi.org/10.1108/OIR-04-2020-0129
Date: 2021

Language of Items: English
Number of Items: 17
Reliability: Cronbach’s alpha (0.761 to 0.904)
Validity: Content, Face, and Construct Validity


Response Specification: Five-point Likert scale (1 = absolutely disagree, 2 = disagree, 3 = neutral, 4 = agree, 5 = absolutely agree)

Item
I think there is nothing wrong with Internet banking transactions using my friends’ mobile devices.
I think there is nothing wrong with shopping using my friends’ mobile devices.
Item
I backup my photos on my mobile device.
I backup my phonebook on my mobile device.
I backup my data on my mobile device.
Item
I regularly check the updates of the applications on my mobile device.
I regularly check the upgrades of my mobile device.
Item
I never download the applications requesting access to my phonebook.
I never download the applications requesting access to my photos.
Item
I make sure that nobody looks while I unlock the screen of my mobile phone.
I make sure that my screen lock is adequately complex so it cannot be easy to guess.
I make sure that nobody looks while I enter the passwords for my mobile applications such as e-mail, Internet banking, or social networks.
I make sure that the passwords for my mobile applications such as e-mail, Internet banking, or social networks are adequately complex so others cannot easily guess.