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Describe some of the benefits of using a survey design in quantitative research.

Describe some of the benefits of using a survey design in quantitative research.

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Expert Solution

Quantitative research is systematic process of investigation in which different numerical and statistical data are used in order to obtain the required information from different sources.

Goals drive a quantitative research design

If some organization need any mathematical model of any particular phenomena they look for quantitative research. It is a process by which the numerical data will be generated and that data will be used for the farther process.

For an example, Honda launches a car in INDIA for the mid-segment people, which might cost 6L to 10 L. Now Honda need some data before they take the decision to launch a new car into the market. They need to know from quantitative survey

  1. what is average income of the people in INDIA
  2. How many people may afford to purchase the car? Data comes in percentage
  3. What is the value of the car what maximum people purchase in general?
  4. How many people like the manual transmission and how many like automatic transmission etc.…

Depending on these reports they will find a suitable model for the particular country and they will try to launch the vehicle that the chance of success for the vehicle will be increased.

Compare and contrast quantitative survey and experimental designs for research.

Quantitative survey is the survey made and came to a statistical or mathematical statement which shows what the standard behavior of the product is. According to the survey report the decision is made and product launches in the market.

Experimental design in made based on some qualitative values. Those values are kept in mind in order to develop the product and launches in the market. Then the see the market acceptance and can say that the experiment they made was successful or not.

Challenges of quantitative research design.

There may be different challenges for the quantitative research design.

  1. May be the survey was not made with proper data.
  2. May be the product designed as per the survey made but still the product failed in the market due to some reason what was not planned while designed.
  3. May be the product was not successful into the market because the quality or feature of the product don’t are not as per the customer requirement.
  4. May be the survey happened with only a class of people but didn’t cover the others.

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