Design Science

A research paradigm in which a designer answers questions relevant to human problems via the creation of innovative artefacts. And thereby contributing new scientific evidence to the body of knowledge.

Mixed methods

  • they are about using multiple different methods to study the phenomena, collect data, analyze data, interpret data etc.
    • combining qualitative and quantitative methods within one study to get better picture of what, how much and also why and how of the research
  • all methods are based in one starting Research question and they all finish in meta-inference
    • meta-inference is the overall conclusion drawn from integrating conclusions from all methods used
      • do they complement each other, contradict, or converge (they strengthen each other)
  • types:
    • sequential mixed method design
    • conversion mixed method design
    • parallel mixed method desing
    • integration mixed method desing
Strengths
  • qualitative data (words, pictures, narrative) adds meaning to quantitative results, and vice versa - numbers add precision to qualitative findings
  • the research benefits from the individual strengths of different methods
  • easier to both generate and rigorously test a theory within one study
  • can answer a broader and more complete range of research questions
  • provides stronger evidence through convergence and corroboration of findings
  • increases the generalizability of results
Weaknesses
  • difficult for a single researcher to carry out both approaches, especially concurrently
  • the researcher must learn multiple methods and how to mix them appropriately
  • methodological purists argue one should always work within a single paradigm
  • more resource-intensive and time-consuming than single-method research
  • some methodological details are still debated (paradigm mixing, how to analyze quantitative data qualitatively, interpreting conflicting results)
  • can be difficult to publish due to requiring more space