Leadership and Human–AI Collaboration: A Measurement Scale

This paper aims to develop and provide the validity and reliability of a measurement scale that establishes the relationship between Leadership and Human–AI Collaboration. An instrumental study was conducted to inform the design and revision of a scale’s psychometric properties. The techniques used for statistical analysis were carried out in three sequences, namely, the first consisted of collecting validity evidence based on test content; the second consisted of an exploratory and confirmatory factor analysis to gather validity evidence based on internal structure; and the third consisted of estimating the test reliability of internal consistency through the omega coefficient. The results show that the proposed measurement scale meets the psychometric properties required of a social-science instrument.

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Publication Details

Journal
Behavioral Sciences
Published
2026-07-17
DOI
https://doi.org/10.3390/bs16071208
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Leadership and Human–AI Collaboration: A Measurement Scale

Rodrigo Arturo Zárate Torres, C. Fabiola Rey-Sarmiento, José Pablo Camargo, Julio César Acosta Prado
Behavioral Sciences
Ethics and Social Impacts of AI
article

Leadership and Human–AI Collaboration: A Measurement Scale

Rodrigo Arturo Zárate Torres, C. Fabiola Rey-Sarmiento, José Pablo Camargo, Julio César Acosta Prado
article en

Abstract

This paper aims to develop and provide the validity and reliability of a measurement scale that establishes the relationship between Leadership and Human–AI Collaboration. An instrumental study was conducted to inform the design and revision of a scale’s psychometric properties. The techniques used for statistical analysis were carried out in three sequences, namely, the first consisted of collecting validity evidence based on test content; the second consisted of an exploratory and confirmatory factor analysis to gather validity evidence based on internal structure; and the third consisted of estimating the test reliability of internal consistency through the omega coefficient. The results show that the proposed measurement scale meets the psychometric properties required of a social-science instrument.

Behavioral SciencesVol. 16(7)
Colegio de Estudios Superiores de Administración (CO), Pontificia Universidad Católica del Perú (PE)
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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