Qualitative data can be used to ask the question “why.” It is used to investigate situations.
Qualitative data is mostly open-ended until research is conducted. We can generate the data
from qualitative research by using interpretations, developing hypotheses, and initial
understandings. When discussing qualitative data, we are talking about a specific object’s
characteristics. Qualitative data is found through qualitative analysis of the detailed
information about the matter at hand. Quantitative data, is the opposite of qualitative data.
Quantitative data is statistical and is more rigid and defined. This data type is measured
using numbers and values, making it a more suitable candidate for data analysis. Qualitative
is open for exploration, but quantitative data is much more concise and close-ended. It can
be used to ask the questions “how much” or “how many,” followed by unquestionable
information. A type of data I experience in my professional life is invoices from contractors.
the estimates are constantly changing as the scope of work continues through the process. If
unforeseen problems arise during the process the invoice will have to be readjusted. The
difference between quantitative and qualitative data is one can be counted and measured, the
other is descriptive and not measured. Quantitative data is countable, measurable and related
to numbers. It can tell how many, how much, and how often. It is factual and can be
analysed using statistical analysis. Qualitative data is descriptive, relating to words, and
language. Describes attributes to understand the why and how behind certain behaviors. it is
dynamic and subjective. Gathered through observations and interviews. Analysed by
grouping the gathered data into categories.In the real estate industry, I can compare
qualitative data to counts, such as number of website inquiries, and sales. The qualitative
data can be reviews, postings, or surveys about the customer experience with the agency.
There are many differences between quantitative and qualitative data. Quantitative data is
any data that can be be put into a quantity. This is any data that can be counted and or
measured. The two types of quantitative data is discrete data and continuous data.
Quantitative data tells us how many, how much, and how often. Quantitative data is
measured by statistical analysis through charts and tables. An example of quantitative data is
55% of customers paid with a credit card versus cash.Qualitative data is data that represents
the how or the why behind the numbers. It is known as descriptive data. This data is
gathered though observation. There are two types of qualitative data: nominal data and
ordinal data. Nominal data is a way to categorize certain data that does not have a
quantitative value. An example of this would be be like based out of Mexico or the children
have green eyes. Ordinal data is qualitative data that has some sort of numerical value. An
example of this would be like collecting data in a. survey such as first second or third best.
Quantitative data is all about How much or how many. Qualitative data asks Why?. In
qualitative data the sample size is small and that too is drawn from non-representative
samples. Conversely, the sample size is large in quantitative data drawn from the
representative sample.Qualitative data develops initial understanding, i.e. it defines the
problem. Unlike quantitative data, which recommends the final course of action.Quantitative
research is advantageous for studies that involve numbers, such as measuring achievement
gaps between different groups of students or assessing the effectiveness of a new blood
pressure medication.Qualitative research is often used to conduct social and behavioural
studies because human interactions are more complex than molecular reactions in a beaker.
Subjectivity, nonrandom sampling and small sample size distinguishes qualitative research
from quantitative research. A big advantage of qualitative research is the ability to deeply
probe and obtain rich descriptive data about social phenomena through structured interviews,
cultural immersion, case studies and observation, for instance. Examples include
ethnography, narratives and grounded theory. Quantitative data is data that expresses a
quantity, amount, or range. Then can usually be something like a measurement or the height
of a person. Qualitative data is data that isn’t easily reduced to numbers. Qualitative data
answers questions of ‘what’, ‘how’, and ‘why’, versus answering questions of ‘how many’,
and ‘how much’.
Advantages of Quantitative data – Since quantitative data can be statistically analysed,
researched based off this data will more than likely be detailed. Since quantitative data has a
numerical nature, there is a reduced risk of personal bias. Results from quantitative data is
extremely accurate. Disadvantages of Quantitative data – Quantitative data is not descriptive
and therefore is difficult for researchers to make decisions based only off the collected
information.
-Quantitative data depends on the question types.
Advantages of Qualitative data – Qualitative data provides researchers with a detailed
analysis of subject matters.
-Qualitative data helps market researchers understand the mindset of their customers
-Qualitative data can be used to conduct research in the future.
Disadvantages of Qualitative data - Collecting qualitative data is more time-consuming.
-Qualitative data is difficult to generalize because fewer people are studied
-Qualitative data collection is dependent on the researcher’s skills and experience
In my professional life I encounter a lot of qualitative data. When making judgements on
potentially fraudulent transactions I collect a lot of the ‘what’, ‘how’, and ‘why’ aspects of a
customer’s account. It is my responsibility to try to make sense of these transactions and
determine whether or not they could be fraudulent activity occurring on a customer’s account
Quantitative is data collected by people to provide to researchers and be able to analyse in
detail subject matters. Qualitative is streamline summarized in data into information that is
relevant. The disadvantage of Quantitative is that it takes a lot of time to do surveys and get
a good perspective of the subject of interest studied from. This makes it difficult to get
results and collect data correctly. The disadvantages for Qualitative can be bias based that it
is seen by opinion and data used by a researcher's feelings to the experienced studied.
Scientific data and numbers are not correctly collected for the final results in a survey
studied for. Quantitative Data is when the data shows numbers, percents ranges and is exact
or precise on the information given. Examples that I experience with this on a daily basis
working in our family grocery store is the number of Transactions Per day, The amount of
cash, credit and check monetary funds that we have gained throughout each day. The exact
weight that comes in per pallet or freight for our orders both in and out… The advantage to
this is that the numbers are clear, reliable and can be tracked down and verified. The
disadvantage is that all the data is tied to the exact number and nothing else. Qualitative
data differs because it’s not the exact data, it's more of an estimate. It's not easily compared
or reduced to numerical answers. If someone asked me how many people, we had shopping
in the store on average I could give them my best estimate based on experiences and
knowledge but there would be no definite answer for this because not every person who
shops makes a transaction. .Disadvantage to this is no way to be exact or to provide charted
information. I could give best guess. Advantage is that one can ballpark the answer to the
situation or example above and not have error because it doesn't have the numbers to reflect
that it has to be accurate. The differences between quantitative and qualitative data is that
quantitative data expresses a certain amount, range, and or quantity. Whereas qualitative
data cannot be expressed by numbers but by opinions and characteristics. An example of
quantitative data that are encounter in my work is how much a shipment weight and its
dimensions. This data can determine how much it will cost to transport this item from point
a to b. For qualitative data an example I can encounter daily are determining how many
white cars are parked in the grocery parking lot.Some advantages and disadvantages of
quantitative data is that it doesn’t need direct observation to be useful, there’s higher and
randomized samples, and it’s anonymous. Though the data randomization will not create
usable information, no specific feedback, and the validity can create a doubt on the final
results. The advantages and disadvantages of qualitative data is that it will provide data from
viewpoints only and it can be based on available and incoming data. The disadvantages are
is its not a statistically representative form of data collection and can create misleading
information.
