In contrast to qualitative data, quantitative data collection is everything about figures and numbers. Researchers often rely on quantitative data when they intend to quantify attributes, attitudes, behaviors, and other defined variables with a motive to either back or oppose the hypothesis of a specific phenomenon by contextualizing the data obtained via surveying or interviewing the study sample. Show What is the need for quantitative data collection?As a researcher, you do have the option to opt either for data collection online or use traditional data collection methods via appropriate research. However, you will need computational, statistical, and mathematical tools to derive results from the collected quantitative data. A data that can be counted or expressed in numerical’s constitute the quantitative data. It is commonly used to study the events or levels of concurrence. And is collected through a structured questionnaire asking questions starting with “how much” or “how many.” As the quantitative data is numerical, it represents both definitive and objective data. Furthermore, quantitative information is much sorted for statistical and mathematical analysis, making it possible to illustrate it in the form of charts and graphs. Discrete and continuous are the two major categories of quantitative data where discreet data have finite numbers and the constant data values falling on a continuum possessing the possibility to have fractions or decimals. If research is conducted to find out the number of vehicles owned by the American household, then we get a whole number, which is an excellent example of discrete data. When research is limited to the study of physical measurements of the population like height, weight, age, or distance, then the result is an excellent example of continuous data. Any traditional or online data collection method that helps in gathering numerical data is a proven method of collecting quantitative data. Probability samplingA definitive method of sampling carried out by utilizing some form of random selection and enabling researchers to make a probability statement based on data collected at random from the targeted demographic. One of the best things about probability sampling is it allows researchers to collect the data from representatives of the population they are interested in studying. Besides, the data is collected randomly from the selected sample rules out the possibility of sampling bias. There are three significant types of probability sampling
InterviewsInterviewing people is a standard method used for data collection. However, the interviews conducted to collect quantitative data are more structured, wherein the researchers ask only a standard set of questionnaires and nothing more than that. There are three major types of interviews conducted for data collection
Surveys/questionnairesSurveys or questionnaires created using online survey software are playing a pivotal role in online data collection be is quantitative or qualitative research. The surveys are designed in a manner to legitimize the behavior and trust of the respondents. More often, checklists and rating scale type of questions make the bulk of quantitative surveys as it helps in simplifying and quantifying the attitude or behavior of the respondents. There are two significant types of survey questionnaires used to collect online data for quantitative market research.
ObservationsAs the name suggests, it is a pretty simple and straightforward method of collecting quantitative data. In this method, researchers collect quantitative data through systematic observations by using techniques like counting the number of people present at the specific event at a particular time and a particular venue or number of people attending the event in a designated place. More often, for quantitative data collection, the researchers have a naturalistic observation approach that needs keen observation skills and senses for getting the numerical data about the “what” and not about “why” and ”how.” Naturalistic observation is used to collect both types of data; qualitative and quantitative. However, structured observation is more used to collect quantitative rather than qualitative data.
Document Review in Quantitative Data CollectionDocument review is a process used to collect data after reviewing the existing documents. It is an efficient and effective way of gathering data as documents are manageable and are the practical resource to get qualified data from the past. Apart from strengthening and supporting the research by providing supplementary research data document review has emerged as one of the beneficial methods to gather quantitative research data. Three primary document types are being analyzed for collecting supporting quantitative research data
ConclusionQuantitative data is not about convergent reasoning, but it is about divergent thinking. It deals with the numerical, logic, and an objective stance, by focusing on numeric and unchanging data. More often, data collection methods are used to collect quantitative research data, and the results are dependent on the larger sample sizes that are commonly representing the population researcher intend to study. Although there are many other methods to collect quantitative data, those mentioned above probability sampling, interviews, questionnaire observation, and document review are the most common and widely used methods either offline or for online data collection. Quantitative data research is comprehensive, and perhaps the only data type that could display analytic results in charts and graphs. Quality data will give you precise results, and data analysis is probably the essential component, which will not only hamper the integrity and authenticity of your research but will also make the findings unstable if you have weak data. Therefore, it does not matter what method you chose to collect quantitative data, ensure that the data collected is of good quality to provide insightful and actionable insights. What is the most popular data collection method?The most common way to collect primary data is through surveys and interviews. Surveying is the process of collecting data through a questionnaire that asks a range of individuals the same questions related to their characteristics, attributes, how they live or their opinions.
What are the 3 most commonly used data collection in research?Here they are:. Surveys, quizzes, and questionnaires.. Interviews.. Focus groups.. Direct observations.. Documents and records (and other types of secondary data, which won't be our main focus here). |