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Research in simulation 

Research in simulation
Research in simulation

Alexander (Sandy) Garden

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date: 18 May 2021

The chapter focuses on challenges that are commonly encountered while undertaking simulation-based research for educational or evaluative purposes. Many simulation-based studies measure experimental outcomes that don’t have physical properties; rather, they measure a hypothetical construct—for example, ‘competence with crisis management’. To measure such a construct it needs to be defined and operationalized in terms of something that can be measured or observed. Because of this, validity (the extent to which the measurement tool actually measures what it purports to measure) and reliability (the tendency to obtain the same result with repeated measurements) are important considerations that are discussed in the chapter. Depending on the nature of the research question and the data collected, either quantitative research with statistical analysis, or qualitative research with non-numeric analysis, may be the appropriate method. Both approaches require careful consideration of validity and reliability. In addition to methodology, important ethical issues are discussed.

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