Mixed Methods

I created the Queering Futures Framework (QFF) to expand mixed methods conventions, amplify practice as a form of research, push boundaries, and lift barriers. After intersecting quantitative and qualitative modes, the Queering Futures Framework (QFF) connects with a practice-based mode. It is in the culminating practice-based mode that signals observed, identified, and interpreted in the quantitative and qualitative datasets are integrated and used to inform a new method I call data-driven speculation. I created data-driven speculation to connect data and imagination.

As with all mixed methods research designs, the Queering Futures Framework (QFF) research design overcomes the limitations of a singular approach and singular mindset and combines the strengths of multiple approaches and diverse mindsets. It is true that mixed methods are more involved than singular approaches, but if resources and time are available, mixed methods is a fantastic way to learn.

Queering Futures Framework

The Queering Futures Framework (QFF) involves 3 modes: a quantitative mode, a qualitative mode, and a practice-based mode. Mode means, “a way or manner in which something occurs or is experienced, expressed, or done” (OED, mode). Each mode is guided by specific research questions. The quantitative mode asks quantitative questions and gathers categories and numbers. It counts, measures, compares. It is valid and reliable. The qualitative mode asks qualitative questions and gathers words/language. It explores and interprets. The quantitative and qualitative datasets are analyzed separately, then signals are identified, and transferred into the practice-based mode.

Back to top


Signals

Signals are dynamic signs or messages observed within data. They encompass various forms of discoverable information, such as patterns, concepts, cues, provocations, or sensations. Signals serve the purpose of conveying meaning, communicating points of interest, indicating actionable needs, or sparking imagination.

Each signal possesses its own aesthetic quality, which can range from subtle to bold, weak to strong. In the process of observing, identifying, and interpreting signals, a researcher remains open-minded, embraces ambiguity, and exercises creative license.

Ultimately, signals serve as a bridge to practice or application. It's crucial that a signal is not only relevant but also usable within the context of the research agenda.

Back to top

Queering Future Framework

Data-Driven Speculation

Data-driven refers to an approach or decision-making process that relies on data and evidence to inform and guide decisions, strategies, and actions. In a data-driven approach, data is collected, analyzed, and interpreted to gain insights and make informed choices. As a phrase it has been in heavy use since the early 2000s.

Speculation generally relates to conjecture, contemplating possibilities, exploring hypothetical scenarios, engaging in activities playing with uncertainty, even dreaming. Speculation, considered through an art or design lens, involves using imagination and provocation to create concepts and scenarios that inspire new ways of thinking and feeling about futures.

In general, practice-based research can be described as a generative process – moving between questions, ideas, and forms. It will engage in creative practices. Sometimes it is referred to as practice-led research. All practice-based research seeks to do things, to make things. This kind of research acknowledges that practitioners equipped with art and design skills, a creative mindset, and the will to engage in rigorous, self-directed (or collaborative) processes, are able to produce discoveries, insights, and new knowledge.

In combination, data-driven and speculation, or data-driven speculation, is a practice-based method that combines data, imagination, and futures.

Back to top