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A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...
Artistic research, also seen as 'practice-based research', can take form when creative works are considered both the research and the object of research itself. It is the debatable body of thought which offers an alternative to purely scientific methods in research in its search for knowledge and truth.
Evidence-based design (EBD) is the process of constructing a building or physical environment based on scientific research to achieve the best possible outcomes. [1] [2] Evidence-based design is especially important in evidence-based medicine, where research has shown that environment design can affect patient outcomes.
The research-based design process is a research process proposed by Teemu Leinonen, [1] [2] inspired by several design theories. [ 3 ] [ 4 ] [ 5 ] It is strongly oriented towards the building of prototypes and it emphasizes creative solutions, exploration of various ideas and design concepts, continuous testing and redesign of the design solutions.
According to the authors, a strong research design requires both qualitative and quantitative research, a research question that poses an important and real question that will contribute to the base of knowledge about this particular subject, and a comprehensive literature review from which hypotheses (theory-driven) are then drawn.
Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation.
New product design and development is often a crucial factor in the survival of a company. In a global industrial landscape that is changing fast, firms must continually revise their design and range of products. This is necessary as well due to the fierce competition and the evolving preferences of consumers.
One of the most important requirements of experimental research designs is the necessity of eliminating the effects of spurious, intervening, and antecedent variables. In the most basic model, cause (X) leads to effect (Y). But there could be a third variable (Z) that influences (Y), and X might not be the true cause at all.