Abstract

\ The Professional Quality of Life (ProQOL) instrument has been in use in some variation for decades with the most recent iteration becoming available in 2009. With twelve years of changes in the workforce plus applications of the ProQOL in novel professional groups, it is critical to determine if the tool is still reliable and valid. Data obtained from specific occupational groups, specifically college resident assistants (RAs) and substance abuse professionals (SAPs), will be utilized to explore if the measure holds up to past research claiming high reliability and validity. It is possible that the RAs (n=358) and the SAPs (n=40) will be outliers from these claims due to their unique positionality in their roles or due to the amount of time that has passed since the last update of the ProQOL.

Highlights

  • Measuring the attitudes, beliefs, and wellness of a variety of professionals is a frequent practice nowadays (Groebe et al, 2018; Kodaka et al, 2011)

  • The data utilized in this analysis comes from two independent studies about resident assistants (RAs) and substance abuse professionals (SAPs)

  • The goal of this statistical undertaking was to determine if the Professional Quality of Life (ProQOL) was a valid and reliable instrument for measuring the burnout, secondary traumatic stress, and compassion satisfaction of individuals

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Summary

Introduction

Beliefs, and wellness of a variety of professionals is a frequent practice nowadays (Groebe et al, 2018; Kodaka et al, 2011). Because of the fluid and changing nature of humanity within the social context, it became critical for tools and instruments to prove that they could accomplish what was intended. Beyond being variable day to day for a single individual person, sometimes there are larger cultural consideration, societal shifts, or trained patterns within populations that make an instrument that was valid and reliable into an obsolete tool. For these reasons, it is critical to continually test even highly utilized and praised instruments over time to confirm they still meet criteria to be statistically useful for their purposes

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