Unit 318
Outcome 1 and 2: Understand How to Organise and Evaluate Data That Has Been Researched and Understand How to Report Data That Has Been Researched
1.1 The purpose and benefits of organising data so that it can be analysed are that you are turning data in to information. Data is information lacking meaning therefore data cannot easily be analysed however information can. We can manipulate the data to the best purpose for what we need it for which saves time sifting through the data. The benefits of organising data are that it can be read easily and understood easily by others as well. Also, it doesn’t take as long to find the information you want from it.
1.2 To evaluate the relevance of data you need to go back to why you compiled the data. If your end result answers the question then you know that you have compiled relevant data. To evaluate the validity and reliability of the data you can compare it to your own personal knowledge and expectations or someone else’s in the team. Alternatively, you can see if this information has ever been compiled before and if so, are the results similar?
1.3 To analyse and prepare researched data so the results will be accurate and free from bias you can be self-critical of the data asking yourself whether it reflects the reality or not. Also, you could have someone work on the same query completely separate to yourself and see if your outcomes match. If they are different then you will know that one of the outcomes is inaccurate and biased. Depending on the different types of information, you want to ensure that the data isn’t anonymous as you have no guarantee that it is accurate and free from bias. Also, depending on the type of information, you want to make sure it is no way discriminatory towards others.
1.4, 1.5 2 types of research methods are primary and secondary. Primary is research that you personally have created whereas secondary research is research someone else has created. There are advantages and disadvantages to
1.1 The purpose and benefits of organising data so that it can be analysed are that you are turning data in to information. Data is information lacking meaning therefore data cannot easily be analysed however information can. We can manipulate the data to the best purpose for what we need it for which saves time sifting through the data. The benefits of organising data are that it can be read easily and understood easily by others as well. Also, it doesn’t take as long to find the information you want from it.
1.2 To evaluate the relevance of data you need to go back to why you compiled the data. If your end result answers the question then you know that you have compiled relevant data. To evaluate the validity and reliability of the data you can compare it to your own personal knowledge and expectations or someone else’s in the team. Alternatively, you can see if this information has ever been compiled before and if so, are the results similar?
1.3 To analyse and prepare researched data so the results will be accurate and free from bias you can be self-critical of the data asking yourself whether it reflects the reality or not. Also, you could have someone work on the same query completely separate to yourself and see if your outcomes match. If they are different then you will know that one of the outcomes is inaccurate and biased. Depending on the different types of information, you want to ensure that the data isn’t anonymous as you have no guarantee that it is accurate and free from bias. Also, depending on the type of information, you want to make sure it is no way discriminatory towards others.
1.4, 1.5 2 types of research methods are primary and secondary. Primary is research that you personally have created whereas secondary research is research someone else has created. There are advantages and disadvantages to