Data collection is one of the most important things that has led to a large change in the methods of doing research. The idea on which data collection is based is when a large number of observations and inferences are drawn from it. Once a large amount of data is collected, we tend to see patterns that lead to a better decision that is made. These decisions can be anything. From surveys from clothing companies regarding the quality of their clothes, opinions on the winning percentage and the success rate of your favourite cricket team, the total box office earnings of the latest blockbuster, etc. Surveys help in making precise and accurate judgements of many things. There are several ways in which data is collected. You may already have been made aware of many ways in which data is collected from your school days. Collection of data helps in better understanding of any situation that can be very useful in making important decisions. Therefore it is crucial for people to make sure that there are no errors in the process of Data collection.
This article is based on methods which can be used in order to collect data of a given situation. This is because data collection is a very crucial part of the decision making process and many people have come up with some really interesting strategies to improve this process and to make it faster. The main aim of the article is to make sure that we are delivering the best content for you that can help you understand everything about these methods in detail. This article will be helpful for your exam preparation and give you an upper hand when it comes to solving questions from topics based on data collection. Hence, we recommend that students keep this article handy at all times to avoid last minute exam stress.
Data collection is a process of collecting quantitative or qualitative data, relevant to the research topic. The collected data undergoes an organisational process, It helps refine and then lead to conclusions or solutions for the research topic.
Organisations collect data to predict, or speculate information about the future, and make decisions based on that data. The essential significance of information assortment in any business is that it assists with deciding numerous significant things about the organisation and its functioning, thus making data collection important in each field.
Here, we will look at the data collection methods in Research.
Data Collection Methods in Research
There are two types of collecting data in research namely:
Let's discuss each of them in detail
Primary Data Collection Methods
Raw data collection methods are also called primary data collection methods. It is data that is acquired legitimately from the direct source through tests, interviews, recordings, surveys, and observations. The five traditional methods of collecting primary data are:
Direct personal Interviews
Indirect Personal Interviews
Data collection through Questionnaire
Data collection through Enumerators
Data collection through Local Sources
Primary data collection methods are further classified into two types namely:
Quantitative Data Collection Methods
The quantitative data collection method defines the data value in the form of numbers or counts, where each data-set has a specific numerical value linked with it. The information collected in the Quantitative data collection method is quantifiable and can be used for mathematical calculations and statistical analysis. Quantitative data collection methods are used to answer questions such as “How many?”, “How often?”, “How much?”. This data can be verified and can also be easily evaluated using different mathematical techniques. For example “How much did those vegetables cost?” is a question that will obtain quantitative data.
Qualitative Data Collection Methods
In contrast to quantitative data collection methods, which deal with numbers and figures, qualitative data is descriptive in nature rather than numerical. Qualitative data cannot be easily measured as quantitative data and can be collected through observation or open-ended survey or interview questions. In qualitative research, we generally get answers to questions such as “why?” and “how?”
Qualitative data is also known as categorical data as this data can be grouped according to categories. For example, consider a student reading a paragraph from an English book in class. An English teacher who is listening to the student's reading provides feedback on how the child reads that paragraph. If the teacher gives feedback based on fluency, tone, usage of words, clarity in pronunciation regardless of giving a grade, then this is considered as a qualitative data example.
Here are the methods to collect qualitative data :
Surveys are the most common type of collecting data. It aims to develop an informed hypothesis or conclusion. This method is beneficial when used for obtaining information by asking open-ended questions which makes the individual provide their point of view or opinion over a certain topic or situation. Surveys can be divided into two types namely: paper surveys and online surveys.
Online Surveys - The online surveys are carried out in the form of a web survey developed using software or uploaded online on the website. Google survey form is the frequently used method used to collect data through online surveys. Additionally, in contrast to a paper survey, an online survey is most commonly used as this type of survey can be conducted by the researchers by individuals anywhere anytime.
It is another frequently used method for collecting qualitative data. In this method, the researcher observes the behaviour of the person and records the events either in the form of notes, audio, or video. IIt helps researchers to know individual behaviour of how they interact, communicate with each other. The researcher in this method is completely immersed in the situation to derive a logical conclusion. The observation method is further divided into two types namely covert and overt, and Interviews. Let's discuss each of them.
Covert and Overt Method - In a covert method, the observer or researcher keeps his purpose secret without letting anybody know that they are conducting the observation. On the other hand, an overt method is a method where everyone knows that the researcher is observing them. This includes attending a birthday party or wedding ceremony, wedding and using a video recorder or camera to record and capture what is happening around the party.
Interview - This is one of the most renowned and confidential methods of qualitative data collection. It includes direct and face-to-face communication between two people. In this method, an interview questionnaire is designed by the researcher to gain information about the individual’s knowledge or perception surrounding a certain topic, issue, or situation.
Target Group Discussion - Here, the interviewer may target a group of 8-10 people, the size of the sample is based on the requirement given by the researcher, and it may vary. Furthermore, each participant is given an equal opportunity to provide their feedback on how they considered a certain situation, with an opportunity to agree and disagree with each other’s opinion.
Secondary Data Collection Methods
The secondary data collection method is defined as the data gathered by others for a purpose other than the researcher’s ongoing project and has already encountered statistical analysis. The secondary data can be easily gathered from other sources and as such, there are no specific collection methods. The secondary data collection method can be both quantitative and qualitative. The qualitative data can be obtained through newspapers, diaries, interviews, transcripts, etc, whereas the quantitative data can be obtained through a survey, financial statements, and statistics.
The researcher can in secondary data obtain data from both the internal and external sources of the organisation. The internal sources of collecting secondary data are:
Organisation financial records
Customer details, like contact details, name, and age of the customer.
Report and feedback from a distributor, dealer, retailer, etc.
Management Information System.
The external sources of collecting secondary data are:
Internet, where comprehensive formation about different areas is readily available.
Information from other government departments such as tax records, social security, etc.
Final Thoughts from Vedantu
Data Collection is a very interesting field that requires good focus, and dedication to master completely. The goal of the article was to make sure that the concept of Data Collection becomes extremely simple for you and that you get a nice hold of the idea. We hope that the article was successful in breaking down all the different data collection strategies that we talked about and enabled you to think in terms of collecting data to achieve a tangible outcome. Maths is based on a lot of observation and data that has been given to us in the past. The main focus of data collection methods and practises is to keep the valuable data in mind so that it can be used in making important observations in the future.
Thank you so much for reading this article. We wish you luck for your exams!