Advantages of Qualitative Data
By using qualitative research methods and techniques you are able to collect a dense amount of data filled with details.
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Once information is received the researcher is able to note down the behaviour of a subject to add emphasis to the answer they gave, this is beneficial because once you have the data you can add reasoning to why they believe that.
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It can add depth and explanations to quantitative research.
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It is a chance to show creativity through research rather than just being based on straightforward numbers and facts.
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Advantages of Quantitative Data
Quantitative data is reliable and truthful for the most part, especially in the number realm. It is very straightforward and provides you with big groups of data or a very focused, niche and specialised pieces of numerical data.
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Quantitative data also helps contribute to the improvement of qualitative data. This could be that you have feedback from qualitative research and to give a valid truth to that research you present a figure.
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Again to reiterate how the reliability quantitative is more reliable as it has less personal input into the researching aspect. As it is numerical it gives you that either right or wrong answer.
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Disadvantages of Quantitative Data
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A research question can be designed in a certain way which is biased. For example, the results could only be focused on the successes of something rather than showing a balanced reviews of both sides.
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Quantitative data only presents you with numerical research.
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Because it is numbers based it is difficult to express how a subject’s thought process.Because it is numbers based it is difficult to express how a subject’s thought process.
Disadvantages of Qualitative Data
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This type of high quality detailed data is more time consuming due to its compulsory steps of going out into the field and actually interacting with a mass group of people to receive the research.
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The research can be biased intentionally or unintentionally which could lead to inaccurate data which is not acceptable.
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Qualitative data methods can have the ability to drift away from the original question and leave it neglected or the answer could be have not been answered well enough.
PRIMARY
Quantitative Data
Primary quantitative data is quite simple in that its collecting your own numerical data. The primary part means that it must have been done first hand by approaching people and recording the results. An example would be surveys (explained in the primary research section).
SECONDARY
Quantitative Data
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This includes any numerical data found rather than actually being research first hand, an example would be the internet. filled with information needed to complete any individual research. It is obviously very efficient.
PRIMARY
Qualitative Data
As I have mentioned earlier when explaining primary research there are a few different methods and techniques which are actually examples on how to research primary qualitative data such as :
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Focus Groups
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Interviews
SECONDARY
Qualitative Data
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Secondary qualitative data provides you with detailed information that didn’t have to receive first like (like primary research), again as I have previously mentioned in depth there are several ways to find out this type of information. Such as newspapers, journals, magazines, radio and TV stations.