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The word quantitative means something that can be numbered or measured in numbers. quantitative observation refers to the data collection method which brings you the data in the form of numbers and values. The data gathered from quantitative observation is depicted in terms of a measurable quantity.
The results of quantitative observation are calculated through statistical and numerical analysis methods. The data indicates that the observation is being made often by entities that can be measured or presented using a numerical value. Some examples of quantitative observation entities can be age, shape, height, wait, volume, etc.
Quantitative observation is done on a group of participants called a sample population, which is considered as a representative of a larger population. This larger population is mostly market targets, target customers, or research study subjects. It is always advisable to have a sample population of a larger size so that the observations consider all the diversity that exists within that population. Along with that, it also ensures higher reliability in results and less biased answers.
Conducting exploratory research seems tricky but an effective guide can help.
Quantitative observations are way different than qualitative observations, which focus more on the quality of the data collected. So when we talk about quantitative observations, the researcher is expected to look at the numbers and figures that are in front of him, try to put the observations on a scale and try to quantify it.
In businesses, where fields like sales, marketing, customer reach, product competition, etc. play an important role in defining how your business does on the market level. In such cases it is important for the organization to make emotionless but rational decisions while studying the market. Quantitative observation just does the trick for such organizations to bring out the numbers and statistical understandings of the market trends and changes.
Quantitative observations are set to be factual because as we know the numbers don’t lie. so it can be considered as an ultimate resort for the conclusions to be made if you like to make decisions based on facts and proofs.
Consider the following customer survey question:
How satisfied are you with our customer service?
If you look at the question, you are actually asking the customer to tell you the quality of your customer service. but imagine asking a question like this, “please explain in short about your customer service satisfaction”. you surely will get your answer but in a paragraph form, where did respondents will try to tell some good things and some bad things about your customer service first up but when you sit down to analyze these descriptive data, you will understand that it is actually hard to decide what the overall existence of that answer was, whether the customer likes your customer service or he doesn’t?
but in our question, we have numbers assigned to some general answers of the question. These answers can be spread out on a scale of 4, 5, 7, depending on how detailed you want your answer to be. So when the customers select their choices, you will have direct numbers of the customers well choosing the options and how many times. So you just have to take one look at the gathered answers and analyze them based on which option was chosen the most, and that is what the majority of the customers feel about your customer service.