If the implementation of a policy initiative relies heavily on direct community collaboration and efforts, how would any type of bias be mitigated in the data collection process. For example, stores use quantitative data collection which are chosen based on the Food for Justice Leaders relationships and ability to recruit participating merchants. How might bias be rectified in the data analysis?
Data analysis is the most crucial part of any research.data analysis summarize collected data,it involves the interpretation of data gathered through the use of analytical and logical reasoning to determine patterns,relationship or trends .
BIAS is taken to mean interference in the outcomes of research by predetermined ideas,prejudice or influence in a certain direction. DATA can be biased but so can the people who analyse the data.when data is biased ,we mean that the samples is not representative of the entire population .
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