The importance of deductive reasoning

Open-ended questions, emerging approaches, text or image data Closed-ended questions, predetermined approaches, numeric data Both open- and closed-ended questions, both emerging and predetermined approaches, and both quantitative and qualitative data and analysis Use these practices of research as the researcher Source: CreswellResearch Design: Qualitative data requires an inductive approach of analysis.

The importance of deductive reasoning

Aristotle's Logic (Stanford Encyclopedia of Philosophy)

Abductive Thinking and Sensemaking: The Drivers of Design Synthesis Overview: Making Sense of Chaos Designers, as well as those who research and describe the process of design, continually describe design as a way of organizing complexity or finding clarity in chaos.

Jeff Veen, founder of Adaptive Path, has noted that "Good designers can create normalcy out of chaos. New Riders Press, Accessed November 3, Yet despite the acknowledged importance of this phase of the design process, there continues to appear something magical about The importance of deductive reasoning when encountered in professional practice: While other aspects of the design process are visible to non-designers such as drawing, which can be observed and generally grasped even by a naive and detached audiencesynthesis is often a more insular activity, one that is less obviously understood, or even completely hidden from view.

Designers may follow a user-centered discovery process to immerse themselves in a particular subject or discipline, and then go "incubate" that material.

The importance of deductive reasoning

After a period of reflection, they will produce a tangible artifact as a visual representation of the reflection. When synthesis is conducted as a private exercise, there is no visible connection between the input and the output; often, even the designers themselves are unable to articulate exactly why their design insights are valuable.

Clients are left to trust the designer, and more often than not, the clients simply reject the insight as being "blue sky" or simply too risky. For example, a designer developing a new digital device might study the use of digital devices used in the workplace.

Typically, a designer will observe four or five users as those individuals conduct their work. The designer will ask questions of each user about their jobs and record details of their responses. The designer might also take screen shots or photographs of the tools being used, and probe for details about each item.

The designer will then return to the design studio. In the privacy of his or her natural work place, the designer will attempt to make sense of what he or she has learned.

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The goal is to find relationships or themes in the research data, and to uncover hidden meaning in the behavior that is observed and that is applicable to the design task at hand.

The user research sessions will produce pages of verbal transcript, hundreds of pictures, and dozens of artifact examples. Because of the complexity of comprehending so much data at once, the designer will frequently turn to a large sheet of paper and a blank wall in order to "map it all out.


The designer will have identified themes, and will better understand the problem he or she is trying to solve; the designer will have discovered "the whole," as described by Daniel Fallman: For the latter, there is only design.

A Lack of Formality To an observer commonly a clientthe physical output, themes, and design ideas produced seem arbitrary, or magically derived. The artifacts developed by the designer are messy, usually drawn in the midst of deep and reflective thinking; they are sketches drawn in Sharpie, incomplete sentences, and crude diagrams lacking adequate captions or descriptions.

If the beginning state the research data is compared to the end state the design ideait is not immediately clear how one derived the latter from the former. It can be argued that the more innovative the output, the more difficult it is to identify how the idea was developed at all.

Yet the incubation period described above can be well structured, and things that occur during that period are both repeatable and comprehendible.

Types of research approach for data collection

It is only the lack of understandable documentation, or the decision to not share that documentation, that creates the sense of magic. And the magic may well be desirable by some clients, as it hints that their money has been well spent.

But the notion that design synthesis is magical and difficult to formalize has led to a number of very large problems that plague the industries of designed artifacts: Because synthesis is frequently relegated to an informal step in the overall process, it is practiced implicitly; a single designer forges connections in the privacy of her own thoughts, and performs only rudimentary sensemaking.

They are, of course, right: If there is no formal period of time allotted for design synthesis methods, and no formal deliverables associated with these methods, a strong message is sent to the designer: The output of design synthesis is frequently incomplete or intangible—the value of the output is not immediately evident, as the results are "half baked.

The importance of deductive reasoning

These problems are roadblocks to innovation, and illustrate a deep disconnect between the core process of insight development and the billed process of product development.

Yet synthesis methods have been continually referenced as critical in sensemaking, organization, and in drawing the important connections between apparently unrelated elements. These are the keys for relating research to design—synthesis methods are the ways in which ethnographic insights lead to new, innovative, appropriate, or compelling ideas.

These principles and methods are teachable, repeatable, and understandable. They are creative activities that actively generate intellectual value, and they are unique to the discipline of design.Begging the Question. A form of circular reasoning in which a conclusion is derived from premises that presuppose the conclusion.

Normally, the point of good reasoning is to start out at one place and end up somewhere new, namely having reached the goal of increasing the degree of reasonable belief in the conclusion. The New York Times bestselling guide to thinking like literature's greatest detective."Steven Pinker meets Sir Arthur Conan Doyle" (Boston Globe), by the author of The Confidence Game..

No fictional character is more renowned for his powers of thought and observation than Sherlock Holmes. Box and Cox () developed the transformation. Estimation of any Box-Cox parameters is by maximum likelihood. Box and Cox () offered an example in which the data had the form of survival times but the underlying biological structure was of hazard rates, and the transformation identified this.

Reason is the capacity for consciously making sense of things, establishing and verifying facts, applying logic, and changing or justifying practices, institutions, and beliefs based on new or existing information.

It is closely associated with such characteristically human activities as philosophy, science, language, mathematics, and art and is normally .

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Aristotle: Logic. Aristotelian logic, after a great and early triumph, consolidated its position of influence to rule over the philosophical world throughout the Middle Ages up until the 19 th Century.

All that changed in a hurry when modern logicians embraced a new kind of mathematical logic and pushed out what they regarded as the antiquated and clunky . Research approach is a plan and procedure that consists of the steps of broad assumptions to detailed method of data collection, analysis and interpretation.

Inductive reasoning - Wikipedia