Data gathering procedure is an organised manner of hunting and gathering relevant information, observation, and measurements. Data collection is the primary stage of any research. It helps researchers to use prime sources of information in research work. There are different types of research like academic research, governmental research, business research, market research, and various others. This article will discuss the data gathering procedure utilised for thesis research. The aim of the study and method of data gathering can change, but the process remains the same. There are four stages of data gathering for thesis research:
The Aim Of The Study
Before starting gathering data, the researcher needs to know the needs and requirements of the topic and what it aims to answer. The aim of the study can be stated in the shape of a problem statement. The researcher needs to design and create research questions. These research questions will help define the purpose of the study and select the research methods accordingly. The research method can be qualitative or quantitative.
- Quantitative data is in the shape of quantities. The quantities may be graphs, numbers, or anything that can be represented in numbers or values. The qualitative research method will be used if the researcher intends to present ideas, experiences, and details in a particular context
- Qualitative data is presented in the shape of words and analysis. It is the interpretation stated in descriptive form. the quantitative research method will be used if the study aims to measure precisely.
The researcher can use mixed methods to analyse the data if the study has different aims.
Data Gathering Methods
The researcher needs to analyse the study and collect information relevant to the study. He can hire a London dissertation writing service for analysis. The analysis will help determine the best suitable research method. The quantitative research method can be opted for in an experimental research study. The research method of qualitative method may be used to study the data of ethnographies, groups, focus, and interviews. A researcher can opt for qualitative research, quantitative research, or mixed research methodology for secondary data research. Secondary data resources include archival research, observations, and surveys. The researcher needs to carefully select the most suitable research method to ensure the credibility and authenticity of the study.
Mechanism To Collect And Process The Data
The researcher should be clear about the research method used for the study. After carefully selecting the research methodology, the researcher must make a comprehensive action plan. The plan of action will help determine how the research will be implemented. The data gathering procedure comprises four methods which are:
Operationalisation means converting the ideas of the information to measurable observations. For instance, the health phenomenon can not be measured. However, operationalisation is the tool that helps identify the measurable resources of the health factor. These factors could include sugar level, cholesterol level, and body mass index.
The researcher needs to formulate a sampling plan in order to obtain data. For this purpose, the data may be segregated into different categories. These categories may include populations segment, different groups, and sources of data collection. This way, the researcher will be able to analyse the data quickly and allocate the data in the right place.
This will lead to making clear assumptions and conclusions utilising data. The sampling will reflect the process of participant selection, how measurements are obtained, or the criteria for selecting the study’s population. Different factors are essential to identify before initiating the sampling method. These factors include the timeline, accessibility to the sample, and size of the samples.
The researcher uses the procedure of standardising research methods to ensure credibility. This research method helps the researcher in reducing the chances of getting biased. Two major standardising processes include random allocation and extraneous variables.
There are two steps of random allocation used for generating:
A sequence of random allocation:
The researcher needs to generate an unpredictable sequence from the collected data. It will ensure the credibility of the research. It will reduce the bias factor significantly.
Allocation concealment helps in hiding significant information. The researcher will not be able to identify the data treatment mechanism and will not be able to judge the conclusion. The researcher will not be able to classify the data.
Creating a data management plan
The researcher needs to ensure that participants’ sensitive information must be protected. This information may include names, contact information and registration numbers. The data collected must be saved in an organised manner with a backup.
Gathering High-Quality Data Relevant To The Study
Recording and maintaining high-quality data is an essential part of the research. The researcher needs to record high-quality data systematically. Some practices are considered useful for recording high-quality data.
- Make a proper record of relevant information from the obtained data.
- Properly check the data to ensure that the data is free from errors and omissions.
- The quantitative data gathering procedure helps the researcher assess the validation and reliability in order to indicate data quality.
The data gathering procedure helps the researcher to access the most relevant information. Data gathering procedures remain a useful resource for different research, including academic research, governmental research, business research, and market research. The data gathering procedure assists researchers in selecting the most appropriate method to screen and segregate the data into different groups and categories. The researcher needs to ensure that the data is protected and safe.