In the age of the internet, getting information on any topic is no more a hassle. The researcher can also extract insight into answers by observing the body language of the interviewee, etc. The face-to-face is often the most preferred method of interviewing as it is more interactive and allows the interviewer to build rapport. In this, the interviewer prepares a set of questions and puts these in front of the interviewee to answer. The interview may be telephonic or face-to-face. The researcher may also offer an incentive to people for responding to the mail with the complete survey.įor interviews, the researcher asks a standard set of questions to the interviewee. It allows the researcher to connect with a vast number of people, giving them time to get acquainted with the topic and respond to the questionnaire at their convenience. Mail questionnaires are sent out to the targeted population with a cover sheet that enlightens the audience about the topic.These surveys can be created using secure online survey tools that are easy to collect and can be accessed anywhere and anytime. Web-based questionnaires often come in the form of a survey link in your mail and include some close-ended questions that aim to collect information about a specific topic.
These surveys are commonly used to understand customer value and monitor their dependency on the product or service. You must have often come across surveys asking you about how many times you buy a certain product or service. It comprises surveys, checklists, and ratings. This is a great way to collect quantitative data as it involves quick and to-the-point questions and answers. These strata are made using a common attribute that defines that set of people, for example, income or occupation.
On the other hand, continuous data is data that can take any value. This type of data is usually represented using tally charts, bar charts, and pie charts.
Thus, you can easily identify discrete quantitative data by questioning whether the given data can be counted or not. Discrete data is also known as attribute data. These values are typically counted in whole numbers and cannot be broken down into smaller units. Let’s explore the two types of data in detail.ĭiscrete data is data that can be expressed in specific values. In simple terms, Discrete data is countable and Continuous data is measurable. There are two main types of quantitative data. However, you must try and identify relevant groups and descriptions to make sense of the data. Such data cannot be used for statistical analysis. Answers to questions like ‘ How much ’, ‘ How many ’, ‘ What percentage ’, and ‘ How often ’ are what constitutes quantitative data. Quantitative data refers to data that can be expressed in numerical terms.