Question

1. Explain the difference between inductive and deductive reasoning in terms of why deductive reasoning is more appropriate for positivist research 2. Explain why analysing scientific research data is not just about descriptions but about explanations. 3. Discuss the experimental method in terms of its role in a positivist research exercise. 4. Discuss the purpose of the theoretical framework in terms of its function as a lens.

Answer 1

Sol. 1. Deductive reasoning

Deductive Reasoning is a type of reasoning which work on deduction , start with a general statement and checks the probabilities to get a logical and specific conclusion.

Hence the deductive reasoning starts with theory and reach till the specific observations by using the prediction for the incidents.

This reasoning method follow the syllogisms. Suppose "Every Car is Fararri" could be followed by another "Every Vehicle is a Car" and conclusion can be happen as "Every Car is Fararri"

Inductive reasoning

The reasoning which makes vast generalizations from the defined observations is called as Inductive Reasoning.

As in the beginning one have some information which information then process into conclusion , this is the reasoning logic behind it.

Hence , we can say that in the inductive reasoning we go to the basic from the specific observations or conclusions while in deductive reasoning the things are absolutely opposite because there we go to final observations from basics.

Example : The dollar which I took from the bag is celling . That dollar is a celling. A third currency I took is a celling. Hence , the all currency which I have in my bag is celling.

Sol 2.Analysis of any scientific research data means deep diving into the scenario and finding the observation in a specific way so the research can be utilize for any invention , modification , updation or other things.

So that, if the research data will be only available in descriptive format then it's not useful at all. The person whoever will try to go through it will get only the description of the data not the real scenario which can only be available by explaining everything by using some useful examples.

Examples play a vital role in the research data as examples make it easier to understand the description and the important points of the data and examples create visuals for the scenario in the mind of the reader . Hence, the research scholar become able to understand the importance of the data and the whole data driven story in less time and due to this the researchers can carry forward the researches.

Hence , it's very important that the scientific research data should be in explanationatory

, not in the descriptive format.