What is a quantitative research method?

To investigate and study the quantity of things, we must use mathematical tools to analyze the quantity of things, which is called quantitative research, also called quantitative research. Quantitative research is a basic research paradigm in the field of social science and one of the important steps and methods of scientific research.

Empirical research methods can be divided into quantitative research methods, qualitative research methods (also known as quantitative research and qualitative research) and mixed methods combining the two.

Quantitative research follows the traditional scientific research methods, including putting forward hypotheses, establishing models, creating experiments, collecting data and verifying hypotheses, so it is most easily accepted by physics educators. PER researchers are the first to use quantitative research methods in the field of discipline education research.

Extended data

There are four types of quantitative data, which are briefly introduced as follows:

1, nominal data is a kind of classified data, which is discrete and has no sequential relationship. For example, when studying the differences between boys and girls in physics learning, we may use "1" and "0" to represent men and women respectively, which does not mean that 1 is greater than 0.

2. Ordered data is another kind of classified data, which is also discrete but orderly. For example, when studying the development and changes of students' understanding of some physical concepts in the third grade of senior high school, the numbers 1, 2 and 3 are used to represent the first, second and third grades of senior high school respectively. Sequencing data indicate the position of individuals in an orderly state by numbers, which cannot be used for mathematical calculation.

3. Interval data is continuous data with equal interval and order. For example, the difference between temperature, 1℃ and 2℃ is the same as that between 20℃ and 2 1℃. Fixed distance data is unit, and there is no absolute zero. It can add and subtract, but it can't multiply and divide.

4. The ratio data not only has all the attributes of distance data, but also has the absolute origin (i.e. 0), so the ratio between the two values is meaningful. For example, mass is a constant ratio variable. It can be said that the mass of protons is 1836 times that of electrons.

Baidu Encyclopedia-Quantitative Research