In this article, I will focus on the quantitative research method, but in the next one, I plan to expand the topic of qualitative research.
In short, quantitative research is a type of study that collects and analyzes data to uncover patterns, relationships, and trends using numerical measures.
For brands, quantitative research is all about gathering meaningful info from both current and potential customers. How? Well, in contrast to qualitative research, it uses methods like online surveys, polls, case study research and questionnaires. The cool thing about this approach is that it gives you numbers and real, solid data you can work with. Once you've got these numbers all lined up, you can start making some educated guesses about the future of a product or service. You can also figure out cause-and-effect relationships, which is super helpful for making changes that really hit the mark.
Before you start your research, it’s best to decide whether your study will be exploratory or conclusive. Exploratory research aims to develop conclusions by examining a topic in depth. Conclusive research, on the other hand, seeks to reach a final conclusion about an issue.
Let me quote the author of “Types of Quantitative Research Methods and Designs” article published by Grand Canyon University: “Research design refers to your approach for answering your fundamental research questions. If you are writing a quantitatively based dissertation, your research design will center on numerical data collection and analysis.” If you need an entire article, you can find it here.
Quantitative research brings some standout qualities, making it a perfect fit for certain tasks. Let's check some of them:
Sample size is very important in quantitative research and refers to the number of participants included in the study. Selecting a fitting sample size is crucial for getting accurate and reliable results. Too small sample may lead to underpowered analyses and generalization, while a large sample size may be impractical and costly. By estimating the right sample size, investigators can ensure that their analysis detects meaningful effects.
As I mentioned earlier in the text, quantitative research is based on surveys, polls, experiments, and questionnaires. It’s essential to pick the right tool for your research, as the results may be determined by it.
They are asked to each participant in a set order and in an unchanging form, so you can assume that the differences are the result of participant differences, not measurements. Closed questions are those a person answers with a simple yes or no.
Before you even start thinking about your poll, focus on finding prior quantitative studies on the research subjects. Firstly, it’s possible you’ll find your answer there. Secondly, it helps you prepare better questions and frames for your research.
Tables, charts, graphs, or other numerical forms of visualization of collected data may be crucial for your analysis. Make sure to present them understandably.
Quantitative research is based on generalizing its results. That means you can easily use data from research conducted on a small group to make smart choices that benefit a broader population.
The difference between primary and secondary data is one of the basic divisions in social research methodologies. Primary data is gathered directly from respondents during interviews, surveys, etc. Secondary data is the result of previously conducted analyses.
Understanding quantitative research methods entails not just grasping its techniques, but also appreciating its strengths, limitations, and ethical implications. So before you start your journey with qualitative research methods, remember those key practices.
It's necessary to understand the difference between quantitative and qualitative research and to apply the one that best suits your needs.
Whether it's experimental, correlational, or descriptive, choosing the right design is crucial. Equally important is the sampling strategy. Make sure that your sample has a perfect size. You're looking for something between a too-small and too-large group.
Know what you're after before you begin data collection. Quantitative study requires clear research goals and hypotheses. Remember: clarity enables precise analysis and guides the direction of the research towards expected effects.
Why waste your time inventing new thesis or results when (possibly) you already have them in your pocket? Conduct research on the internet, in books, and by talking to your friends. Who knows? They may already know some answers to your questions.
If you need some profound insights about human behavior or how people see certain stimuli, RealEye could be the right tool for you. Start a free trial version of RealEye today, and let us help you to get to know your audience.