I love definitions. qualitiative and quantitiative Research discovered.
After researching the aspects and characteristics shown below using Google AI, I must be honest. It was good to think about how qualitative research is done and how it can be used in my course of study.
I noticed how it's important to classify as qualitative; it needs to be a small and purposive sampling, whereas quantitative sampling is larger. So this distinctive difference is good to keep in mind. Because with a large sample, you can't actually get in-depth information. Imagine having in-depth interviews with 1,000 individuals. Almost impossible. However, a small group of 10-15 is manageable, thus making it qualitative. Imagine trying to do quantitative research, but using the method of small sample sizes; it doesn't work, your numbers will be skewed.
I think the substance of each type of research is the method. how it is conducted. Aligning to the methods can be detrimental if you don't take a step back to understand how each is used.
The first picture below is an example of qaulititative, the second quantitative data. and the third is a diagram showing the designs is qualitative research.
The exploratory nature of qualitative research refers to its purpose of gaining a deep, rich understanding of phenomena, experiences, or problems that are not well understood or haven't been studied in depth. This often involves flexible, open-ended approaches to uncover new insights, generate hypotheses, and develop initial understandings, rather than testing pre-defined theories or measuring numerical data.
Open-ended and flexible:
Focus on insights
Subjective data collection:in-depth interviews, focus groups, observations, and case studies to gather rich, detailed data.
Case study - a process or record of research in which detailed consideration is given to the development of a particular person, group, or situation over a period of time.
Often the first step:
Quantitative Research ;
Quantitative research is a methodology that focuses on collecting and analyzing numerical data to describe, explain, or predict phenomena. It aims to establish patterns, test hypotheses, and draw objective, generalizable conclusions about a population using statistical analysis and measurement. Common methods include surveys, experiments, and cross-sectional studies, and the results are often presented using graphs, tables, and charts
Large Sample Sizes
Statistical Analysis:
Numerical Data
Awesome. This definition work clearly resonated for you. Love it. Spot on.
ReplyDelete