title: A Practical Method for Data Handling in Multi-Method Usability Research Studies.
abstract: BACKGROUND
  Analyses of large, complex data sets are common in health informatics and usability research. Researchers need feasible ways of streamlining data handling and analyses. We offer a useful approach across qualitative and digitalized data.
  
  
  METHODS
  Illustrated by a usability evaluation study on a mHealth system, we present methods for managing a large set of usability data using qualitative data analysis software (QDAS). Three different data collection methods were used (usability testing, in-depth interviews, and open-ended questionnaire responses).
  
  
  RESULTS
  The process began at initial transcription and all data were imported into the system. Content analysis was used throughout - from problem identification to assigning problem classifications and severity ratings to linkages with system views.
  
  
  CONCLUSIONS
  This approach was practical and useful as it allowed the capture and synthesis of a large number of multifaceted usability problems. We recommend this approach to other researchers performing usability evaluations on large data sets.
authors: Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
authors: Mattias
authors: M
authors: Georgsson
authors: Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
authors: Nancy
authors: N
authors: Staggers
mesh_terms: D003625:Data Collection / Q000379:methods; D066264:Datasets as Topic; D017598:Efficiency, Organizational; D019451:Information Management / Q000458:organization & administration*; D012106:Research; D012984:Software