How much’, ‘How many’, ‘What percentage

Mail questionnaires are sent out to the targeted population with a cover sheet that enlightens the audience about the topic. 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. The researcher may also offer an incentive to people for responding to the mail with the complete survey.

3. Interviews
For interviews, the researcher asks a standard set of questions to the interviewee. The interview may be telephonic or face-to-face. In this, the interviewer prepares a set of questions and puts these in front of the interviewee to answer. The face-to-face is often the most preferred method of interviewing as it is more interactive and allows the interviewer to build rapport. The researcher can also extract insight into answers by observing the body language of the interviewee, etc.
4. Open Source Datasets
In the age of the internet, getting information on any topic is no more a hassle. Whether you’re seeking information on finance, communication, dentistry, commerce, or the internet itself, there’s an overflow of information that you can access 24×7. You can easily access free and reliable information from a wide range of open datasets online.
5. Experiments
This data collection method involves making some changes to variables and then observing their effect on other variables. For this, you need to be vigilant and be prepared to fail as the success of this method is secured only after trials and errors. Thus, here, the researcher primarily aims to understand the cause and effect relationship of a specific situation.
Quantitative Data Analysis Methods
If you’re still looking for an answer to how to analyze quantitative data, we’re here to help. Analyzing quantitative data is easy, provided you collect the right quantitative research data and incorporate the right technique to analyze that data.
Here, we will look at a few quantitative data analysis methods that you can choose to analyze your next data research project effectively.