Non Scientific Method Definition
What is Non Scientific Method of Research - Non-Scientific Method of Research can be broken down into a series of five topics.- Tenacity
- Intuition
- Authority
- Rationalism
- Empiricism
Tenacity Non Scientific Method of Research
It means that quality or state of holding fast. This based on superstitions, because superstitions represent beliefs that are reacted to as if they were fact.
Intuition Non Scientific Method of Research
It is defined as the act or process of coming to direct knowledge or certainty without reasoning.
Authority Non Scientific Method of Research
As a method of acquiring knowledge represents an acceptance of information or facts stated by another, because that person is a highly respected source.
Rationalism Non Scientific Method of Research
It means that knowledge acquired through reasoning. This approach uses reasoning to arrive at knowledge and assumes that valid knowledge is acquired if the correct reasoning process is used.
Consider the following:
All Men are mortal, Socrates is a man, therefore Socrates is mortal.
Empiricism Non Scientific Method of Research
The final and fifth un-scientific method gaining knowledge is empiricism.
Some say that "I would not believe until I see it." This statement illustrates the empirical approach and indicates that we tend to believe the information through our senses.
What is wrong with this approach? Although this approach is very appealing, there are so many dangers if it is alone used.
Our perceptions are affected by a number of variables. Research has demonstrated, that variables such as past experiences and our motivations at the time of perceiving can drastically alter what we see.
Research has also revealed that our memory for events does not remain constant. Not only do we tend to forget things, but at times an actual distortion may take place.
The situations we experiences may represent a biased sample, which could lead to an inaccurate conclusion.
If for example, you have contact only ten females, all of whom were tall, you would probably be concluded that all women were extremely tall.
The bias in your sample of women would lead you to an inaccurate conclusion.
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