Artificial Intelligence Anxiety: Psychometric Properties and a Mediation Model.

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Title: Artificial Intelligence Anxiety: Psychometric Properties and a Mediation Model.
Authors: Salimi, Samaneh (AUTHOR), Moosavi Dastjerdi, Motahareh (AUTHOR), Javaheri, Abbas (AUTHOR)
Source: International Journal of Human-Computer Interaction. Oct2025, Vol. 41 Issue 19, p12349-12360. 12p.
Subjects: Psychometrics, Mediation (Statistics), Anxiety, Personality, Test validity, Iranian students, Gender differences (Sociology)
Abstract: This study evaluated the psychometric properties of the Persian version of the Artificial Intelligence Anxiety Scale (AIAS) among Iranian college students, with a focus on gender differences. Additionally, it examined the mediating role of career adaptability in the relationship between proactive personality and AIAS. A sample of 317 participants completed the AIAS, Career Adaptabilities Scale, and Proactive Personality Scale. Results confirmed a four-factor second-order structure for the AIAS, consistent across genders. Divergent validity was supported by significant negative correlations between AIAS scores and career adaptability (r = −.37, p <.001) and proactive personality (r = −.33, p <.001). Convergent validity was demonstrated by average variance extracted values (total score: 0.66) and subdimensions, along with strong internal consistency (Cronbach's α = 0.95; composite reliability: 0.97). The findings further highlighted the mediating effect of career adaptability in the relationship between proactive personality and AIAS, offering valuable insights for future research. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Artificial Intelligence Anxiety: Psychometric Properties and a Mediation Model.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22International+Journal+of+Human-Computer+Interaction%22&quot;&gt;International Journal of Human-Computer Interaction&lt;/searchLink&gt;. Oct2025, Vol. 41 Issue 19, p12349-12360. 12p.
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study evaluated the psychometric properties of the Persian version of the Artificial Intelligence Anxiety Scale (AIAS) among Iranian college students, with a focus on gender differences. Additionally, it examined the mediating role of career adaptability in the relationship between proactive personality and AIAS. A sample of 317 participants completed the AIAS, Career Adaptabilities Scale, and Proactive Personality Scale. Results confirmed a four-factor second-order structure for the AIAS, consistent across genders. Divergent validity was supported by significant negative correlations between AIAS scores and career adaptability (r = −.37, p &lt;.001) and proactive personality (r = −.33, p &lt;.001). Convergent validity was demonstrated by average variance extracted values (total score: 0.66) and subdimensions, along with strong internal consistency (Cronbach&#39;s α = 0.95; composite reliability: 0.97). The findings further highlighted the mediating effect of career adaptability in the relationship between proactive personality and AIAS, offering valuable insights for future research. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: &lt;i&gt;Copyright of International Journal of Human-Computer Interaction is the property of Taylor &amp; Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10447318.2025.2457183
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 12349
    Subjects:
      – SubjectFull: Psychometrics
        Type: general
      – SubjectFull: Mediation (Statistics)
        Type: general
      – SubjectFull: Anxiety
        Type: general
      – SubjectFull: Personality
        Type: general
      – SubjectFull: Test validity
        Type: general
      – SubjectFull: Iranian students
        Type: general
      – SubjectFull: Gender differences (Sociology)
        Type: general
    Titles:
      – TitleFull: Artificial Intelligence Anxiety: Psychometric Properties and a Mediation Model.
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Salimi, Samaneh
      – PersonEntity:
          Name:
            NameFull: Moosavi Dastjerdi, Motahareh
      – PersonEntity:
          Name:
            NameFull: Javaheri, Abbas
    IsPartOfRelationships:
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          Dates:
            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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              Value: 41
            – Type: issue
              Value: 19
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            – TitleFull: International Journal of Human-Computer Interaction
              Type: main
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