Evidence map›Paper›PMID 38920769›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Adaptation and Psychometric Properties of an Attitude toward Artificial Intelligence Scale (AIAS-4) among Peruvian Nurses.

Wilter C Morales-García, Liset Z Sairitupa-Sanchez, Sandra B Morales-García, Mardel Morales-García

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Article in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wilter C Morales-GarcíaEscuela de Posgrado, Universidad Peruana Unión, Lima 15457, Peru.ORCID 0000-0003-1208-9121
Liset Z Sairitupa-SanchezEscuela Profesional de Psicología, Facultad de Ciencias de la Salud, Universidad Peruana Unión, Lima 15457, Peru.ORCID 0000-0003-0555-091X
Sandra B Morales-GarcíaEscuela Profesional de Medicina Humana, Facultad de Ciencias de la Salud, Universidad Peruana Unión, Lima 15457, Peru.ORCID 0000-0002-5102-303X
Mardel Morales-GarcíaUnidad de Salud, Escuela de posgrado, Universidad Peruana Unión, Km 19, Carretera Central, Lima 15033, Peru.ORCID 0000-0002-6413-1072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of Artificial Intelligence (AI) into various aspects of daily life has sparked growing interest in understanding public attitudes toward this technology. Despite advancements in tools to assess these perceptions, there remains a need for culturally adapted instruments, particularly in specific contexts like that of Peruvian nurses.

objectiveTo evaluate the psychometric properties of the AIAS-4 in a sample of Peruvian nurses.

methodsAn instrumental design was employed, recruiting 200 Peruvian nurses. The Attitude toward Artificial Intelligence in Spanish (AIAS-S), a cultural and linguistic adaptation of the AIAS-4, involved data analysis using descriptive statistics, confirmatory factor analysis (CFA), and invariance tests.

resultsThe Confirmatory Factor Analysis (CFA) confirmed a unidimensional factor structure with an excellent model fit (χ

conclusionsThe AIAS-S proved to be a psychometrically solid tool for assessing attitudes toward AI in the context of Peruvian nurses, providing evidence of validity, reliability, and gender invariance. This study highlights the importance of having culturally adapted instruments to explore attitudes toward emerging technologies in specific groups.

Indexed as

artificial intelligenceattitude of health personnelattitudeshealthcarepsychometric evaluationtechnology

Identifiers

PMID38920769
PMCPMC11200830

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.