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Exploratory analysis of machine learning models for state and trait anxiety based on Spielberger questionnaire data in nursing students

Bibliographic Data

ID22423960
AuthorsReza Salehinia (0000-0001-6395-4651, Birjand University of Medical Sciences), Sajjad Salehian (0009-0008-1607-7412, Birjand University of Medical Sciences, corresponding author), Marzieh Nasiri Sangari (0000-0003-0955-0060, Shiraz University), Mohammad Amin Nasiri Sangari (0009-0006-0115-2091, Shiraz University), Hossein Abbassian (0000-0002-1805-1928, Birjand University of Medical Sciences)
Year2026
Volume26
Issue1
Publication date2026-02-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Medical Education (JOURNAL)
Journal identifiersISSN: 1472-6920 • E-ISSN: 1472-6920
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s12909-026-08842-3
PMID41723488
OpenAlexW7130852041
LanguageEN
References cited21

Anxiety · Bivariate analysis · Descriptive statistics · Linear regression · Marital status · Regression analysis · Trait · Trait anxiety · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes · Healthcare professionals’ stress and burnout · Nursing education and management

  • Validation of the State Version of the State-Trait Anxiety Inventory in a University Sample

    Open Access•Christopher L Thomas, Jerrell C Cassady•SAGE Open•2021

  • Trends in medical students’ stress, physical, and emotional health throughout training

    Open Access•Isla McKerrow Johnson, Patricia A Carney et al.•Medical Education Online•2020

Citation velocityhistorical
Highly citedNo

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