Explain the difference between qualitative and quantitative data. Qualitative vs Quantitative Data
There are several differences between qualitative and quantitative data. Qualitative data is collected and interpreted for research studies, and this includes non-numerical data. Some qualitative type of research studies includes gathering data through document analysis, through focus groups, interviews, first-hand observation, cultural records or personal papers such as diaries or letters. Qualitative data is expressed in the form of language as opposed to the numerical values of quantitative data. Qualitative data is not analyzed through measurement or counts. It will compile words to describe characteristics or traits……..Qualitative vs Quantitative Data…….. These research studies aim to answer why or how and the research questions allow participants to express feelings. Qualitative research is a way of understanding meanings of trends and why they occur (Elkatawneh, 2016). Qualitative interviews can either be structured or semi-structured and the difference in this involves the type of questions that are asked such as open-ended or follow up questions. Qualitative data is obtained over longer periods of time and aims to format individual perspectives within a study. Quantitative data is information gathered that can be quantified, measured or counted and presented in a numerical value. Typically, the variables will tell how many, how often,and how much. Some examples include the amount of revenue a company made in one year work or how many customers visited a website. The data is analyzed through statistical analysis by collecting evaluating and presenting the data to determine any trends or patterns (Elkatawneh,2016). Quantitative data can be collected through questionnaires, databases, experiments, and surveys. In this type of research method, the researchers aim to find relationships among the data….Qualitative vs Quantitative Data….
Quantitative data refers to any information that can be quantified, counted or measured, and given a numerical value. Qualitative data is descriptive in nature, expressed in terms of language rather than numerical values. Quantitative research is based on numeric data. Qualitative research focuses on the qualities of users—the ‘why’ behind the numbers. It’s hard to conduct a successful data analysis without qualitative and quantitative data. They both have their advantages and disadvantages and often complement each other (Saha, 2022). Quantitative data refers to any information that can be quantified — that is, numbers. If it can be counted or measured, and given a numerical value, it’s quantitative in nature. Think of it as a measuring stick…..Qualitative vs Quantitative Data…… Quantitative variables can tell you “how many,” “how much,” or “how often.” To analyze these research questions and make sense of this quantitative data, we’d normally use a form of statistical analysis—collecting, evaluating, and presenting large amounts of data to discover patterns and trends. Quantitative data is conducive to this type of analysis because it’s numeric and easier to analyze mathematically (McNabb, 2020). Unlike quantitative data, qualitative data is descriptive, expressed in terms of language rather than numerical values. Qualitative data analysis describes information and cannot be measured or counted. It refers to the words or labels used to describe certain characteristics or traits. We would turn to qualitative data to answer the “why?” or “how?” questions. It is often used to investigate open-ended studies, allowing participants (or customers) to show their true feelings and actions without guidance (Jones et al., 2019).