Unit 318 Questions and Answers
Unit 318 Questions and Answers
1.1 Describe purpose and benefits of organising data so that it can be analysed.
The purposes and benefits are so that it is easy to read, data is easy to find, and can be analysed more efficiently and effectively. The data can then be manipulated to fit our purpose of any request; this is then quicker to action any requests regarding the data.
1.2 Explain how to evaluate the relevance, validity and reliability of data.
To evaluate the relevance of data you need to go back to why you retrieved the relevant data. If your end result answers the question then you know that you have retrieved relevant data. To evaluate the validity and reliability of the data you can compare it to your own personal knowledge or someone else’s in the team. Alternatively, you can see if this information has ever been retrieved previously, if so, where the results the same?
1.3 Explain how to analyse and prepare researched data so 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 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.
1.4 Explain the differences between quantitative and qualitative research methods
Two types of research methods are quantitative and qualitative. Quantitative research is data which is numerical or can be used mathematically. Qualitative research is data which is pictorial such as graphs or presentations. Qualitative research data is useful to explain to others the outcome of the information whereas quantitative research is difficult to understand at an initial glance.
1.5
1.1 Describe purpose and benefits of organising data so that it can be analysed.
The purposes and benefits are so that it is easy to read, data is easy to find, and can be analysed more efficiently and effectively. The data can then be manipulated to fit our purpose of any request; this is then quicker to action any requests regarding the data.
1.2 Explain how to evaluate the relevance, validity and reliability of data.
To evaluate the relevance of data you need to go back to why you retrieved the relevant data. If your end result answers the question then you know that you have retrieved relevant data. To evaluate the validity and reliability of the data you can compare it to your own personal knowledge or someone else’s in the team. Alternatively, you can see if this information has ever been retrieved previously, if so, where the results the same?
1.3 Explain how to analyse and prepare researched data so 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 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.
1.4 Explain the differences between quantitative and qualitative research methods
Two types of research methods are quantitative and qualitative. Quantitative research is data which is numerical or can be used mathematically. Qualitative research is data which is pictorial such as graphs or presentations. Qualitative research data is useful to explain to others the outcome of the information whereas quantitative research is difficult to understand at an initial glance.
1.5