“There are many types of research frameworks, but we will focus on four common ones: deductive, inductive, abductive, and mixed. Each of these frameworks has a different logic, purpose, and approach to research.
Deductive research starts with a general theory or hypothesis and tests it with specific data and observations. It is often used in quantitative, experimental, and causal research.
Deductive research is beneficial for testing existing theories or hypotheses, establishing causal relationships, and generalizing results. However, it can also be disadvantageous for ignoring contextual factors, oversimplifying complex phenomena, and limiting creativity and innovation.
Inductive research begins with specific data and observations and generates a general theory or hypothesis from them. It is often used in qualitative, descriptive, and interpretive research.
Inductive research is advantageous for exploring new phenomena, generating new theories or hypotheses, and understanding meanings and experiences. On the other hand, it can be disadvantageous for lacking empirical validation, being subjective and biased, and having limited applicability and transferability.
Abductive research starts with an unexpected or puzzling phenomenon and seeks to explain it with the best possible theory or hypothesis. It is often used in design, innovation, and problem-solving research.
Abductive research is advantageous for explaining unexpected or puzzling phenomena, creating novel and useful solutions, and bridging gaps and contradictions. Yet, it can also be disadvantageous for being speculative and uncertain, requiring high levels of creativity and intuition, and being difficult to evaluate and replicate.
Mixed research combines elements of deductive, inductive, and/or abductive frameworks. It is often used in interdisciplinary, comparative, and evaluative research.
Mixed research is advantageous for addressing complex and multifaceted research questions, integrating and triangulating different types of data, methods, and perspectives, and enhancing the validity and reliability of the research. However, it can also be disadvantageous for being time-consuming and resource-intensive, requiring high levels of expertise and coordination, and facing potential conflicts and inconsistencies.” [online] At: https://www.linkedin.com/advice/3/how-do-you-choose-best-research-framework-your-project#:~:text=Some%20of%20the%20most%20common,frameworks%20that%20researchers%20can%20use. (Accessed 22.11.2023)
I was interested in Bricoleur. Since the method of my work with the debris and building materials in my studio, this is the method of my learning about the world.
Bricoler
“Lévi-Strauss described the bricolage methodology as a combination of the researchers' imagination with all the tools of knowledge at their disposal, using a rich repertoire of rituals, meaningful objects, observations, and social practices. To all these are added structured conversations and spontaneous interviews, institutional knowledge, and informal knowledge (Rogers, 2012; Lévi-Strauss, 2014).” [online] At: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1068703/full (Accessed 16.11.2023)
Realism…
1 Visual analysis: This involves an analysis of the visual elements of artistic works, such as composition, color, and form, in order to understand their meanings and significance.
2 Content analysis: This involves a systematic analysis of the content of artistic works or performances, with the aim of identifying patterns, themes, and trends in the data. This method of analysis is often used in quantitative research.
3 Interpretative analysis: This involves a close reading and interpretation of the artistic work, performance or installation in order to understand its meanings, themes, and symbolic content. This method of analysis is often used in qualitative research. [online] At: https://researchmethod.net/artistic-research/ (Accessed 17.11.2023)
Data Collection Methods
· Artistic production: One of the most common methods of data collection in artistic research is the creation of new artistic works. This involves using the artistic practice itself as a method of data collection. Artists may create new works of art, performances, or installations to explore research questions and generate data.
· Observation: Artists may also use observation as a method of data collection. This can involve observing the audience’s reactions to a performance or installation, or observing the process of artistic creation.
Experimental methods: In some cases, artists may use experimental methods to collect data. This can involve manipulating variables in an artistic work or performance to test hypotheses and generate data.
Surveys and questionnaires: Surveys and questionnaires can be used to collect data from a larger sample of people. These can be used to collect information about audience reactions to artistic works, or to collect demographic information about artists. [online] At: https://researchmethod.net/artistic-research/ (Accessed 17.11.2023)
Comments