AIMC Topic: Factor Analysis, Statistical

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Artificial intelligence and academic writing questionnaire (AI-AWQ): development and validation among medical students' experiences using exploratory factor analysis.

BMC medical education
INTRODUCTION: This study aimed to develop and validate the Artificial Intelligence and Academic Writing Questionnaire (AI-AWQ) to assess participants' perceptions with AI. The primary focus was to explore the factors that influence attitudes toward A...

Machine learning-based groundwater potential mapping and factor analysis in tropical lateritic terrains using self-organizing maps and random forest.

Environmental monitoring and assessment
Groundwater potential mapping is essential for sustainable water resource management, particularly in tropical lateritic terrains where communities depend heavily on groundwater for domestic and agricultural needs. This study delineates groundwater p...

Validity and reliability analysis of the Turkish life satisfaction scale developed through artificial intelligence.

BMC psychology
This study evaluates the validity and reliability of a Turkish Life Satisfaction Scale developed using artificial intelligence (ChatGPT) to explore AI's potential in creating psychometric tools. The scale was tested on three independent samples of Tu...

Translation and validation of the artificial intelligence anxiety scale in German.

PloS one
AIM: Artificial intelligence anxiety refers to fear due to challenges caused by AI-related changes in one's own life. As the first study, our aim was to translate and validate the German version of the Artificial Intelligence Anxiety Scale (AIAS-G). ...

Developing self-regulated artificial intelligence learning (SRAIL) Student Attitudes Scale.

Acta psychologica
This research aims to develop a valid and reliable scale for measuring students' attitudes towards integrating artificial intelligence (AI) in self-regulated learning (SRL). In this study, 250 children from the Ankara province in Turkey participated....

The General Attitudes towards Artificial Intelligence Scale (GAAIS): validation and psychometric properties analysis in the Italian context.

BMC psychology
This two-study investigation aimed to assess the psychometric properties of the Italian version of the General Attitudes towards Artificial Intelligence Scale (GAAIS). In study 1 (N = 236 adults) confirmatory factor analysis (CFA) was conducted to ex...

Psychometric properties and Turkish adaptation of the artificial intelligence attitude scale (AIAS-4): evidence for construct validity.

BMC psychology
Artificial intelligence (AI) attitude scales can be used to better evaluate the benefit and drawback cons of AI. This article consists of two different studies examining attitudes towards AI. In Study I (N = 370), the four-item Artificial Intelligenc...

Machine learning and confirmatory factor analysis show that buprenorphine alters motor and anxiety-like behaviors in male, female, and obese C57BL/6J mice.

Journal of neurophysiology
Buprenorphine is an opioid approved for medication-assisted treatment of opioid use disorder. Used off-label, buprenorphine has been reported to contribute to the clinical management of anxiety. Although human anxiety is a highly prevalent disorder, ...

Machine learning-based urban noise appropriateness evaluation method and driving factor analysis.

PloS one
The evaluation of urban noise suitability is crucial for urban environmental management. Efficient and cost-effective methods for obtaining noise distribution data are of great interest. This study introduces various machine learning methods and appl...

The Development and Validation of an Artificial Intelligence Chatbot Dependence Scale.

Cyberpsychology, behavior and social networking
In recent years, a plethora of artificial intelligence (AI) chatbots have been developed and made available to the public. Consequently, an increasing number of individuals are integrating AI chatbots into their daily lives for various purposes. This...