Historical Research
Historical research is the process of systematically examining past events to give an account of what has happened in the past. It is also defined as a type of secondary data analysis to determine past social attitudes and community structure and how they have changed over time. This historical method of study can be applied to all fields of study because of its both quantitative and qualitative variables can be used in the collection of historical information. Historical research is not just an accumulation of facts and dates or not even a description of past events. It is a flowing, dynamic account of past events which involves an interpretation of the events in an attempt to recapture the nuances, personalities and ideas that influenced these events. One of the main goals of historical research is to communicate and understand about past events.
There are some steps have to be followed before conducting a historical research to achieve a reliable resut
1. The recognition of a historical problem or the identification of a need for certain historical knowledge.
2. The gathering of as much relevant information about the problem or topic as possible.
3. If appropriate, the forming of hypothesis that tentatively explain relationships between historical factors
4. The rigorous collection and organizations of evidence and the verification of the authenticity and veracity of information and its sources
5. The selection , organization and analysis of the most pertinent collected evidence and the drawing of conclusion
6. The recording of conclusion in a meaningful narrative.
The significance of Historical Research
1. To uncover the unknown.
2. To answer questions.
3. To identify the relationship that the past has to the present.
4. To record and evaluate the accomplishments of individuals, agencies or institutions.
5. To assist in understanding the culture in which we live.
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ReplyDeleteA well-planned research project will help you avoid retracing your steps or forgetting to do something altogether. In real life, however, research projects rarely go exactly as planned. They are more likely than not thrown off course by the unpredictable and unexpected sources. A healthy mixture of flexible planning, a leave-no-stone-unturned mentality, and serendipity are the stuff of good research.
ReplyDeleteramis
In a sense research is not only looking forward for something new but also it is a process of experiencing the past.In that context historical research becomes an important one. Every research is directly or indirectly related to the history. We can’t avoid historical aspects while we are doing research. As Deepthi said historical method of study can be applied to all fields of study because of its both quantitative and qualitative variables can be used in the collection of historical information. We should want to follow some systematic steps to do historical research.The significance of historical research is also expressing its importance.
ReplyDeleteabdulsalam
A good research will lead to a good outcome in any of the experiments. The elements like dependent variable and independent variable will help a researcher to develop their studies in rich manner.
ReplyDelete1. Independent variable: which is manipulated by the researcher and not dependent on any kind of variable.
2. Dependent variable: This is a kind of variable which is influenced or affected by different variables. Sometimes it is controlled or always dependent on certain things, which is observed and measured to determine the effect of the independent variable.
There are other elements or sub elements which are influencing the above categories.
They are:
1. Nominal
2. Ordinal
3. Interval
4. Ratio
Null hypothesis
The null hypothesis is a type of hypothesis used in statistics that proposes that no statistical significant exits in a set of given observations. It shows that no variable exists between variables, then all hypothesis assumes that any kind of difference or significant you can see in a set of data is due to chance.
In Null hypothesis the researcher tries to disprove reject or nullify. It is the opposite of alternative hypothesis, in which the researcher really think is the cause of a phenomenon. Accepting null hypothesis does not mean that it is true, in the same way that rejecting the does not prove the alternative.
Maneesha and Rishna
we can distinguish between two types of variables according to the level of measurement.that is discrete and continuous.The discrete variables are nominal,ordinal,interval and ratio
DeleteNominal:Indicates a diffrence,without any implied ordening.
Ordinal:Indicates a diffrence,and indicates the direction of the diffrence.
interval:Indicates a diffrence,with directionality and amount of diffrence in equal intervals.
ratio:indicatesa diffrence,indicates the direction of the diffrence,indicates the amount of the difference in equal intervals,indicates an absolute zero.