Question

math 216
provide two examples of processes for data collection. What key principles are considered in these processes to ensure data accuracy?

Answer 1

Data Collection : Data collection is the process of gathering information to be obtained on the variables Which further helps in Providing answers evaluating the outcomes. Data collection is an essential component of research as it helps in obtaining the quality evidence which is required to evaluate the outcomes.

Processes which are being followed for data collection : a) primary data b) secondary data

a) Primary Data :

• The data which is being gathered from the individuals directly is known as primary data.
• The data which is being collected under control and supervision of an investigator.
• Primary data is being collected for specific research purposes.
• It is reliable as it being directly collected and the mode in which the data is to be collected is being monitored to collect the data as per quality norms.
• It consumes the times as the resources are imparted directly.

Examples of primary data collection 1) Surveys 2) Group discussions 3) interviews

b) Secondary Data :

• Secondary data is the data which is being obtained from indirect sources.
• It is the data which is not collected directly by the individuals.
• It can be obtained from the sources like newspapers, magzines, articles, internet searches and libraries.
• It saves the time required to collect the data as the data is obtained from indirect sources and resources are not directly imparted.
• Secondary data helps in obtaining large amount information required by the researcher as the data is being obtained from different sources.

Examples of secondary data collection 1) Organizational records 2) Administrative data 3) company reports

Key principles to be considered in primary data processes in order to ensure data accuracy are :

• Simplicity : simplicity is one of the key principle as it heps in analyzing the data and emphasis is on keeping the data simple and easy as it helps the users in understanding the data in an effective manner.
• Accuracy : The data which is collected should be accurate because if the data is inaccurate it will be Strenous for the individuals to evaluate its outcome.
• Relavance : The data collected should be relavant to the research conducted by the individual.It should match the requirement of product.
• Clarity: The data collected should be clear so that it can be properly understood.

Key principles to be considered in secondary data process in order to ensure data accuracy are :

• Research Provider's  purpose in providing the data: Certain businesses like commercial businesses might post information which favours them and their own interests.The integrity of such research might be compromised.
• By whom the data was being collected : Reliability lies on who collected the data. Data collected from the administrative agency can be more reliable when compared to the data collected from personal site or blog.
• Manner in which which the data is being collected: Methodology in which the data is being collected plays an important role in the research.It plays an important role when it being related to customer needs.
• At what time the data was being collected : Data should be collected at right time and from the right place to ensure that research is being carried out effectively. In order to maintain quality it is important to collect the data from the appropriate sources.