Qualitative data analysis (QDA) is a non-numerical method of analysing data. This method is used in various areas such as psychology, sociology, political science, ethnography, marketing research, public health, and other social sciences. Conducting qualitative research requires working with a large amount of data. In the age of technology, there are several tools to assist researchers with an enormous workload. Computer-assisted qualitative data analysis software (CAQDAS) is created for this purpose.
“Writing is an exploration. You start from nothing and learn as you go.”
We all write. Some write full time because of work, some write essays for exams, and others write on social media. Whether we are a professional writer or write occasionally, we always need to perfect our writing skills in order to convey our ideas more effectively. But what can we do about it? Let’s go through some tips.
Textual analysis is a research methodology that can be described as an interpretation or understanding of the structure, content, and other characteristics of a text. “Text” can be in the form of a book, transcribed interview, essay, document, email, newspaper, movie, building, etc. Within this context, the text is everything that contains information. When we do a textual analysis, we try to come up with the most likely interpretations of the text.
Social media connects billions of people from around the globe. According to the latest report, there are 3.8 billion social media users. That's half of the world's population. This colossal number also shapes the different methods researchers can use to gather information without spending too much time and resources. In other words, the internet and social media "bring" your research subjects into the devices that you are using to collect data. It provides the opportunity to do quantitative (numeric data) and qualitative (people's opinions, decisions, action) research.
Quantitative data is information comprising numbers or quantities. This kind of data is usually used in various research projects and is generally obtained from questionnaires, polls, and surveys. While qualitative surveys give open-ended questions, quantitative surveys mostly use a close-ended question format. Quantitative surveys may require answers to questions like “How much?”, “How fast?”, “How often?” or can ask respondents to provide simple “yes” and “no” answers.
Researchers usually work with a great amount of data. Of course, working with written data is not easy but what about hours of audio and video content that you need to listen and take notes? Too much time and effort spent on it can make research process even more time-consuming, exhausting and fail you in meeting deadlines. Especially carrying a qualitative research requires quite a number of audio/video interviews and observations. Conducting interviews is one thing but listening to those audios for hours can be frustrating for most researchers.
Writing styles vary depending on where you submit the writing. Academic writing, sometimes called scholarly writing, is a writing style used in research papers, essays, dissertations by university students and scientists in different scientific circles. It is a formal writing style, which means it needs to follow different vocabulary, content, structure, and style than, for instance, blog or journalism writing. Here are some basic rules to make your academic writing more professional:
You're sitting in the lecture. Your lecturer is talking monotonously and you are about to fall asleep. Scenes like this take place every day in classrooms.
Fortunately, modern techniques can help in many cases.
At many universities, the lectures are now recorded as podcasts. So you can listen to the event in the warm and cozy living room instead of in the crowded lecture hall. To save time, it is best to double speed.