Reliability and validity of the simulation learning effectiveness inventory

Instruments developed to measure simulation learning outcomes need evidence of their reliability and validity for rigorous research. The purpose of this paper is to report psychometric properties of the English version of the Simulation Learning Effectiveness Inventory. Psychometric properties of th...

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Veröffentlicht in:Journal of professional nursing 2019-11, Vol.35 (6), p.461-466
Hauptverfasser: Bates, Teresa A., Clark, Patricia C.
Format: Artikel
Sprache:eng
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Zusammenfassung:Instruments developed to measure simulation learning outcomes need evidence of their reliability and validity for rigorous research. The purpose of this paper is to report psychometric properties of the English version of the Simulation Learning Effectiveness Inventory. Psychometric properties of the English version of the Simulation Learning Effectiveness Inventory, which included internal consistency reliability and construct validity with factor analysis, were examined in a sample of 132 undergraduate nursing students. Cronbach's alpha coefficients were >0.70 for all subscales. There was evidence of convergent, discriminant, and known-group validity. The factor analysis resulted in some items being associated with different subscales than in the original Chinese version. The English version of the Simulation Learning Effectiveness Inventory has evidence of reliability and validity. Additional psychometric studies may result in changes in some of the subscales. •Evaluating the psychometric properties of new instruments, particularly those translated from different languages is needed.•The internal consistency reliability and construct validity with factor analysis were examined for the English version.•The Cronbach's alpha coefficients were >.70 for all subscales on the English version of the SLEI.•In the factor analysis, some items loaded differently from the Chinese version of the SLEI.•Additional psychometric analysis may reveal the need for changes on some of the subscales.
ISSN:8755-7223
1532-8481
DOI:10.1016/j.profnurs.2019.04.007