AIM: This study evaluated the psychometric properties of the modified Simulation Effectiveness Tool (SET), the SET-M. BACKGROUND: The SET, developed in 2005, was updated to be consistent with INACSL Standards of Best Practice, QSEN practices, and American Association of Colleges of Nursing baccalaureate essentials. METHOD: Undergraduate nursing students from two nursing programs, one with multiple campuses, completed the SET-M following completion of a simulated clinical experience; 1,288 students took part in the study. RESULTS: Exploratory factor analysis was completed using unweighted least squares. Four subscales were identified with acceptable internal consistency: Prebriefing (α = .833), Learning (α = .852), Confidence (α = .913), and Debriefing (α = .908). CONCLUSION: Revisions made to modify the SET to current standards of simulation practice have resulted in the SET-M, which has been shown to be a valid and reliable method of evaluating students' perceptions of the effectiveness of learning in the simulation environment.
AIM: This study evaluated the psychometric properties of the modified Simulation Effectiveness Tool (SET), the SET-M. BACKGROUND: The SET, developed in 2005, was updated to be consistent with INACSL Standards of Best Practice, QSEN practices, and American Association of Colleges of Nursing baccalaureate essentials. METHOD: Undergraduate nursing students from two nursing programs, one with multiple campuses, completed the SET-M following completion of a simulated clinical experience; 1,288 students took part in the study. RESULTS: Exploratory factor analysis was completed using unweighted least squares. Four subscales were identified with acceptable internal consistency: Prebriefing (α = .833), Learning (α = .852), Confidence (α = .913), and Debriefing (α = .908). CONCLUSION: Revisions made to modify the SET to current standards of simulation practice have resulted in the SET-M, which has been shown to be a valid and reliable method of evaluating students' perceptions of the effectiveness of learning in the simulation environment.
Authors: Margory A Molloy; Ying Zhao; Christina Leonard; Yu Chen; Allen A Cadavero; Weijie Xing; Jacqueline Vaughn; Yufen Lin; Hui Min; Marilyn H Oermann; Hu Yan Journal: Nurs Educ Perspect Date: 2022-02-14
Authors: Shilpa C Balikai; Aditya Badheka; Andrea Casey; Eric Endahl; Jennifer Erdahl; Lindsay Fayram; Amanda Houston; Paula Levett; Howard Seigel; Niranjan Vijayakumar; Christina L Cifra Journal: Pediatr Qual Saf Date: 2020-12-28
Authors: Sitah Alshutwi; Fatmah Alsharif; Faygah Shibily; Almutairi Wedad M; Monir M Almotairy; Maram Algabbashi Journal: Int J Environ Res Public Health Date: 2022-02-15 Impact factor: 3.390