Try to compare the advantages and disadvantages of quantitative research and qualitative research

Advantages and disadvantages: In contrast, quantitative analysis methods are more scientific but require more advanced mathematical knowledge, while qualitative analysis methods, although coarse, are more suitable when the data is insufficient or the analyst's mathematical foundation is weak. A combination of qualitative and quantitative methods is often used in the analysis process.

Qualitative is the use of written language to describe the relevant information. It is a method of analyzing the nature, characteristics, development and change laws of the object of analysis mainly based on the intuition and experience of the analyst and using subjective judgment.

Quantification is described in the language of mathematics. It is based on statistical data and builds a mathematical model.

It is also a method that uses mathematical models to analyze quantitative characteristics, quantitative relationships and quantitative changes.

Quantitative research implications

A method of analyzing and studying things from the quantitative aspect, and using mathematical methods to study and examine the interconnection and interaction between things. Everything is a unity of quality and quantity. There is qualitative research.

Without quantitative research, we can only get a general idea of things, which is neither precise nor comprehensive, and may even be wrong. Because without quantity there is no quality. When the quantity changes to a certain extent, it will cause the qualitative change, so it is very necessary to analyze the basic quantity of things.

The above content refers to: Encyclopedia - Quantitative Research.

Quantitative research. The advantage of quantitative research is that it can provide descriptive data, for example, allowing us to see the user population at a glance. But interpreting them is difficult (I don't know why).

In the context of developing products, this lack of data can lead to serious errors in product design. For example, the survey found that the majority of users prefer 3D displays, which may lead product teams to consider integrating 3D displays into their products. However, if most users just like glasses-free 3D, or only like 3D displays when they are on TV for sports events or action movies.

Then, it is not a reasonable design direction to bring 3D eyes to visualize the data on mobile devices.

In addition, only those who have a deep understanding of how to use and understand quantitative data should conduct a quantitative study.

In quantitative research, you can change the p-value by manipulating the sample size (the p-value illustrates the likelihood that your findings are random), but you need a sufficient sample size to get enough statistical testing power to determine if the results are accurate. If the statistical test power of your study is too low because the sample size is too small, you may not be able to achieve statistical significance, even if the results are accurate. On the other hand, if you reach statistical significance with a small sample, you don't need to increase the sample size, and the results are true anyway.

By increasing the sample size, you can improve the statistical testing power of the study, but to a certain point, the results (statistical significance) may not be meaningful. In this case, you need to look at the effect size – the statistic that tells you how much the variable you are studying affects the variation. All in all, statistical significance tells you whether the results of the study are true or not, while effect sizes tell you how important they are.

Typically, if you are able to achieve statistical significance with a small sample, this indicates that the effect size is quite large. Interpret your data with both statistical significance and effect size in mind.

Qualitative research. After data collection, instead of analyzing the data, the researcher looks for trends in the data. At this point, the researcher looks for statements that have similar meanings between the study participants.

A rule of thumb is that what you hear from one participant is an anecdote, what you hear from two participants can be a coincidence, and what you hear from three people can be a trend. The trends you spot can inform product development, business decisions, and marketing strategies.

Since you can't verify trends by calculating p-values and effect sizes, you need to be extra careful when applying them. And, you should continue to validate this data through ongoing qualitative research projects.

Quantitative and qualitative, go hand in hand.

You can use qualitative research to discover the factors that influence the research variables, and then use this information to conceive quantitative research to evaluate how these factors affect user preferences. At the same time, you can also establish a trend through qualitative research and then verify it with quantitative research.

Answer]: Qualitative research refers to research that uncovers consumer motivations, attitudes, and decision-making processes, and its function is not to provide objective numbers about consumers, but to answer the question of "why". Quantitative research refers to research that can provide quantitative information, and its main function is to answer the question "How much?"

What is ?"What happened?".

The main differences between fixed-sail failure studies and quantitative studies are as follows:

1) Different research contents: quantitative research mainly studies facts, opinions, behaviors, etc., while qualitative research mainly studies dynamics, attitudes, and decision-making processes.

2) Different supports: Quantitative research is supported by numbers and scales, while qualitative research is mainly supported by verbal information.

3) Different survey methods: Quantitative research mainly uses questionnaire surveys, while qualitative research mainly uses in-depth interviews, focus group interviews and projection techniques.

4) The sampling methods are different, with random sampling and quota sampling mainly used in quantitative research, while judgment sampling was mainly used in qualitative research.

5) Quantitative studies are generally large samples, while qualitative studies are generally small samples.

6) The methods of analysis are different, quantitative research uses statistical analysis, qualitative research uses psychological analysis, empirical analysis, and subjective analysis.

7) The depth and breadth are different, the quantitative research is the breadth detection, and the final course of action is recommended, while the qualitative research is the depth detection and obtain a preliminary conclusion.

Answer]: a, c, d, e

The differences between the two research paradigms of quantitative research and qualitative research are manifested in the following aspects: the relationship between the researcher and the research object; the relationship between research and theory; research strategy travel stool; The data is hail-specific; Range of results.

Answer]: a, c, d, e

The differences between the two research paradigms of quantitative research and qualitative research on die grinding preparation are manifested in the following aspects: the relationship between the researcher and the research object; the relationship between research and rational wandering theory; research strategies are ruined; data characteristics; Range of results.

The focus is different.

The study of fixed pulse air training focuses on the aspect of the quantity of things; Qualitative research focuses on the material aspects of things.

There are different levels in the study.

Quantitative research is done to be more qualitative.

Depending on the basis. Quantitative research is mainly based on actual data obtained from surveys, while qualitative research is based on a large number of historical facts and life experience materials.

The means are different. Quantitative research mainly uses empirical measurements, statistical analysis and modeling. Qualitative research mainly uses logical reasoning and historical comparison.

The subject basis is different.

Quantitative research is based on probability theory, social statistics, etc., while qualitative research is based on logic and history.