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In other words, it can also be defined as a process of collecting and measuring relevant information on interest variables in an accepted systematic trend that enables an individual to answer declared research questions, examine hypotheses, and estimate results. The research component of data collection is common in various fields like business, physical science, social science, humanities, etc. Although the methods can vary for different disciplines emphasis on gathering accurate data remains the same. To find Data Collection operators and Hire Freelancers in the Philippines, Brazil, Canada, China, Indonesia, India, and all over the world visit Paperub.

Our society is very much dependent on data, which makes it extremely important for collection. The collection of accurate data is of utmost importance for making the right business decisions, keeping research integrity, and ensuring quality assurance. Before doing this process of collection, the researchers must recognize the types of data, data sources, and methods of collection. Also, you can find Data Entry jobs from Paperub.

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Data Collection methods

The process of data collection has been broken down into two major methods. The two methods are depicted below:

• Primary: As the name suggests, this is first-hand and original data gathered by the researchers of data. This procedure is known as the first or initial step of information gathering and it is conducted before any further research is carried out by anyone. The data collected in this method are considered to be highly accurate provided that the collection is done by the researchers. But this initial research is expensive and time-consuming as well.
• Secondary: It refers to the collection of second-hand data by other groups and also having experienced statistical analysis. This data can be either information that the researchers give order or authorization to gather or the information which the researcher has come upon. So, it is considered second-hand information. However, it is cheaper and much easier to collect than primary data. But the secondary data may not always be accurate and authentic like primary data. The majority of secondary information or data is available in quantitative data.

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Specific Data Collection Tools

Here are some specific data collection tools that are briefly discussed below:

• Word Association: The respondent is given a set of words by the researcher and asked to explain what comes first to mind while hearing each word.
• Role Playing: Here, an imaginary situation is presented to the respondents, and questioned about their reaction or feeling if it is real.
• Sentence Completion: Sentence completion is used by the researchers to get an understanding of the idea of the respondent. This tool provides an incomplete sentence and inspects how the interviewee deals with it.
• In-Person Surveys: Each person is questioned by the researcher.
•  Web/Online Surveys: These surveys can be easily completed but often some users are reluctant to answer honestly.
• Phone Surveys: A third party is always needed for managing and handling the process as the researchers cannot call up thousands of interviewees at a time.
• Mobile Surveys: This survey enjoys the benefits of the rapid growth of mobile technology. The survey by mobile collection depends on mobile devices such as smartphones, tablets, etc for conducting surveys through mobile applications or SMS.
• Observation: Sometimes, the easiest and simplest technique works best. Researchers gather data easily and quickly by making direct observations with little interference from third parties.

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The importance of appropriate and accurate data collection

Gathering accurate data is a crucial step for preserving research integrity, regardless of the method used for defining data or the subject of research. When the appropriate data collection tools are used, there are lesser chances of error occurrence. If incorrect data collection is done, the effects are as follows:

• Inability to answer the questions of research accurately
• Erroneous findings that result in squandered resources
• The inability of validating and repeating the study
• Decisions that settle or compromise the public policy
• Harmful to human as well as animal participants.

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