Data collection and analysis are the key factors of any research. It takes great importance in writing a thesis, article, and research paper. This article by experts of PhD dissertation writing services is going to highlight the 5 guidelines for data collection and analysis for a research paper, which will help you to develop your understandings of it.
Guideline for Data Collection and Data Analysis:
Data collection and data analysis are the methods that should be chosen by the researcher for the evaluation of the main questions and resources to evaluate the available research. The impact evaluation must be used to create a great amount of existing data to fill the gaps between old and new data. Both the data collection and data analysis are supposed to interlink with each other and must be used to strengthen the process of research paper and remove the weakness and errors of the research.
Difference between Data Collection and Data Analysis:
Data collection can be defined as the process that helps the research to gather data or information and mearing it on the interest. It also helps you to answers the questions of problematic areas of the research, it states the research question, evaluate the quarries and test the hypotheses of the research paper, so on and so forth. There are different methods of data collection techniques, but we have two basic and main types of data collection. The types are; primary data collection and secondary data collection.
In the primary data collection, you collect the data directly from the source. It is also known as raw data collection. On the other hand in secondary data collection, you simply present the data that is already been collected, structured, and analyzed by some other writer or researcher. Data analysis is a bit different from data collection. Data analysis is defined as the process that helps you to examine and interprets the already molded data to get the relevant information, conclusion, and results related to the research problem.
Planning the Data Collection and Data Analysis:
It is very important to plan what you are going to do in your research. Always think about reviewing the data that already exists, and how you can use it for your analysis. It should be evaluated on different points and aims and must reflect the results of the change in the theory of the research. The planning for data collection and analysis for the research paper must be very strong for your guidance. Make sure to identify the major gaps between your work in terms of data collection and analysis and fill those gaps with your ultimate research. Always try to use graphs, pie charts, and tables to discuss your data collection and to analyze the data. These methods should be linked to each of your descriptions of the research.
The most basic and common thing that you must know is managing good data for the effective development of the process. The effective processes include: collecting the data and making it record, securing the data, transferring and cleaning the data. Another important part is to make your data assessable for its verification by the other researchers. There some aspects of data related to its quality.
These aspects are validity, reliability, methodologies, precision, completeness, timeliness and integrity, so on and so forth. It is always better to use standardized data collection tools for this purpose. These tools must have been tried before by other researchers. Make sure to test each tool before making any final trial and decision. Ensure that the quality of data is perfect and extends to the appropriate for data analysis. This will help you to find out the accurate and clear result of your research paper.
Methods for Data Collection:
You are supposed to choose the method of data collection for the completion of your research. These methods are usually based on the type of data you want to collect and work on. You are the one who will decide which is the best method for your data collection and a suitable method for your research. There are different types of methods of data collection for research like; quantitative method (based or experimental research), qualitative method (based on interviews, questionnaire, and ethnography, etc.), it also includes observation, and surveys so on and so forth. The data collection could be of any type from the mentioned methods. The chosen method will always help you to collect a good variety of data and answers for your research questions.