Outcome 1: Understand how to organise and evaluate data that has been researched
1.1 Describe the purpose and benefits of organising data so that it can be analysed
The purpose and benefit of organising data is that it allows you to see clearing what the data is that you have collected and what it relates to. It also allows you to identify any common traits within the data.
1.2 Explain how to evaluate the relevance, validity and reliability of data
Below are some ways in which you can evaluate whether data is relevant, valid and reliable.
Relevance – Dose the date relate to the outcome? Dose the date relate to the aims and objectives?
Validity – Is the data collected up to date? Is the data from a valid source?
Reliability – Is the data that you have collected accurate? Is the data that you have collected from a reliable non-bias source?
1.3 Explain how to analyse and prepare researched data so results will be accurate and free for bias
One way to analyse data so that it is free from bias and is accurate is to get a second person to check the data. This way you can make sure that all the data has been input correctly and figures haven’t been altered to suit a certain outcome.
1.4 Explain the difference between primary and secondary research methods
Primary research is a method where you have gathered research or data first hand. This can be done through interviews, observation, questionnaires etc.
Secondary Research is a method where research or data that you have gathered has come from a secondary source such as the government. This is data or research that you did not collect yourself but has been collected beforehand by someone else.
With primary research methods, you research the data yourself and you know how accurate it is and whether it’s biased or not. The disadvantage with secondary is that you don’t know how accurate it is or whether it is biased or not. An advantage to the secondary