MV3403 Research Methods and Statistics for Healthcare Simulation

This course focuses on common research and statistical methods used to assess performance in simulated healthcare environments. Research methods covered include differences between surveys, observational studies, and experiments, sampling procedures, instrumentation, reliability and validity, ethical requirements in conducting human subjects research, and the components of a grant proposal. Statistical methods include hypothesis testing, t-tests, z-tests, ANOVA, regression, and chi square methods. Labs will be conducted using appropriate statistical software that will provide students with hands-on understanding of many of the statistical methods covered in lecture. Prerequisites: None.

Lecture Hours

4

Lab Hours

1

Quarter Offered

  • Fall
  • As Required