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Original Study
| Published: March 11, 2024
Development and Validation of the Scale for Attitude Toward Artificial Intelligence
Research Scholar, Department of Applied Psychology, University of Calcutta Google Scholar More about the auther
Professor, Department of Applied Psychology, University of Calcutta. Google Scholar More about the auther
DIP: 18.01.160.20241201
DOI: 10.25215/1201.160
ABSTRACT
The aim of this study was to develop a self-administering scale to assess attitude toward Artificial Intelligence (AI). Inter-rater reliability, Cronbach’s Alpha reliability and Construct validity of the Scale for Attitude Toward Artificial Intelligence have been demonstrated. After a preliminary survey on 342 undergraduate students from Kolkata, a set of 30 questions pertaining to attitude toward AI were finalised with the help of experts. Inter-rater reliability (Fliess Multirater Kappa) was calculated to be 0.438. The final scale was administered to a total of 526 undergraduate students from Kolkata. The sample comprised 183 male and 343 female students, with ages ranging from 18-23. Cronbach’s alpha was found to be 0.832. Construct Validity was established as 0.679 through Exploratory Factor Analysis. Mean score for the total sample was 96.55 and S.D. was 13.66. For the male sample the mean score and S.D. were found to be 97.05 and 14.6 respectively. For the female sample, the values were 96.27 and 13.16 respectively. Higher mean values indicate more positive attitudes toward Artificial Intelligence.
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2024, Mukherjee, S. & Dasgupta, S.
Received: March 02, 2024; Revision Received: March 07, 2024; Accepted: March 11, 2024
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.160.20241201
10.25215/1201.160
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Published in Volume 12, Issue 1, January-March, 2024