Survey Development:  HealthStream Research’s Employee Insights Satisfaction and Engagement Survey was developed from (1) a composite of public domain employee instruments, and (2) questions recommended by the JCAHO.  The survey instrument was designed and developed to monitor hospital quality trends, and identify areas of strength, as well as areas of immediate priority, based on the perceptions of employees of the hospital.

Survey Pretest:  After the development of the HealthStream Research Employee Insights survey, a pilot test was performed.  At the conclusion of the pilot study, a formal analysis that examines the psychometric properties of the instrument was performed.  Reliability is assessed through the use of coefficient alpha.  Discriminant and convergent validity are routinely assessed using correlational procedures.  Predictive validity is evaluated through multiple regression analysis and the underlying factor structure of each instrument is evaluated through factor analysis. 

Survey Validation:  HealthStream Research completed a full-scale reliability and validity assessment of its employee survey.  This assessment was based on over 14,000 employees from 54 health care facilities.  Part of this evaluative process includes an evaluation of the convergent and discriminant validity of the scales on the survey.  HealthStream Research’s assessment found that convergent and discriminant validity was strong for all scales on the survey. A second part of this assessment process was a technique called “factor analysis.”  A factor analysis evaluates the survey for the underlying constructs that it measures and the questions associated with each construct.  These two techniques help the researcher to know if the questions on the survey actually measure what they are purported to measure.  A third technique employed by HealthStream Research is multiple regression.  This technique is used to test how well survey items predict the overall satisfaction item.  The items on the HealthStream Research Employee Insight Survey were found to be excellent predictors of the overall work satisfaction item.

Do you have a question you’d like to send to our team of experts?  Send an email to researchinfo@healthstream.com, and our interdisciplinary team of experts will provide you with a detailed answer.  Specify if you wish to remain anonymous.