University of AkureyriGonzález-Mesa, ErnestoRengel-Díaz, CristóbalRiklikiene, OlgaThomson, GilliamCazorla-Granados, OlgaAbreu, WilsonMorgado-Neves, DulceGökçe Isbir, GözdeJónsdóttir, Sigríður SíaKarlsdóttir, Sigfríður IngaLalor, Joan2025-11-142025-11-142021-06-05González-Mesa, E, Rengel-Díaz, C, Riklikiene, O, Thomson, G, Cazorla-Granados, O, Abreu, W, Morgado-Neves, D, Gökçe Isbir, G, Jónsdóttir, S S, Karlsdóttir, S I & Lalor, J 2021, 'Assessment of the attitude towards childbirth in health sciences students : Development and validation of the questionnaire Cave-St', Current Psychology. https://doi.org/10.1007/s12144-021-01892-41046-1310298838410ca91ed1-8021-4622-8ca3-252ea1a53ae485107498460unpaywall: 10.1007/s12144-021-01892-4https://hdl.handle.net/20.500.11815/5706Publisher Copyright: © 2021, The Author(s).The purpose of this study is to report on the validation process of a questionnaire that explores health science students’ attitudes towards women’s childbirth experiences. This questionnaire can help inform education programs to enhance the quality of woman-professional interactions, and to improve women’s experiences of childbirth. A standardized procedure for the development and validation of the questionnaire included: item development and psychometric pre-validation, Cronbach’s Alpha coefficient calculation, test–retest and item-total correlation for the reliability analysis. Content validity was undertaken by Delphi method with sixteen panelists over two rounds. We determined the factor structure and refined and validated the questionnaire according to the responses of a cohort of 560 students using principal components factor analysis with varimax rotation. Confirmatory factor analysis was undertaken. A 52-items questionnaire CAVE-st: (acronym for cuestionario de actitudes sobre vivencias y experiencias en el parto) was developed and validated. The results of the factor analysis finally revealed four latent dimensions. The questionnaire CAVE-st is a valid and reliable tool to assess health science students’ attitude towards women’s childbirth experiences. Further work to translate and adapt the instrument in other cultures and languages will be undertaken.The purpose of this study is to report on the validation process of a questionnaire that explores health science students’ attitudes towards women’s childbirth experiences. This questionnaire can help inform education programs to enhance the quality of woman-professional interactions, and to improve women’s experiences of childbirth. A standardized procedure for the development and validation of the questionnaire included: item development and psychometric pre-validation, Cronbach’s Alpha coefficient calculation, test–retest and item-total correlation for the reliability analysis. Content validity was undertaken by Delphi method with sixteen panelists over two rounds. We determined the factor structure and refined and validated the questionnaire according to the responses of a cohort of 560 students using principal components factor analysis with varimax rotation. Confirmatory factor analysis was undertaken. A 52-items questionnaire CAVE-st: (acronym for cuestionario de actitudes sobre vivencias y experiencias en el parto) was developed and validated. The results of the factor analysis finally revealed four latent dimensions. The questionnaire CAVE-st is a valid and reliable tool to assess health science students’ attitude towards women’s childbirth experiences. Further work to translate and adapt the instrument in other cultures and languages will be undertaken.10678622eninfo:eu-repo/semantics/openAccessCAVE-stChildbirthPerinatal educationQuestionnaire developmentStudents’attitudeGeneral PsychologySDG 2 - Zero HungerSDG 6 - Clean Water and SanitationSDG 3 - Good Health and Well-beingSDG 4 - Quality EducationSDG 1 - No PovertySDG 5 - Gender EqualitySDG 10 - Reduced InequalitiesSDG 11 - Sustainable Cities and CommunitiesSDG 12 - Responsible Consumption and ProductionSDG 13 - Climate ActionSDG 14 - Life Below WaterSDG 15 - Life on LandSDG 16 - Peace, Justice and Strong InstitutionsSDG 17 - Partnerships for the GoalsSDG 7 - Affordable and Clean EnergySDG 8 - Decent Work and Economic GrowthSDG 9 - Industry, Innovation, and Infrastructure/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article10.1007/s12144-021-01892-4