Quantitative Research / Data Deals With Numbers Or Being Counted

Quantitative research is done to find the accurate facts by evaluating the problems like opinion, behaviour by using numerical data. This research is based on theories, hypothesis, collecting, analysing the data to make the research accurate.

Qualitative data is a kind of data that cannot be used in identical way as Quantitative so it is viewed in a narrative form. This can be used to only observe the data for example John Lewis have to ask customer how they feel about their shop and then record the response rather than customers telling you out of nowhere as they will not know, this will give time of how they feel about it when they answer the question. There are few data that can be seen but cannot be measured such as seeing the product instead of describing it. This type of information can be used in John Lewis if customers want to know which products are popular in stock. Most of them will have their own opinion on the product. Businesses like John Lewis may want to include

Quantitative data is facts that are written in numerical form and then proven. The way Quantitative data is recorded is in numbers. An example of Quantitative data is 55%take bus, 25% take train, 10% walk and 10% car.

Qualitative research depicts the attributes and characteristics of something. In Qualitative research, the portrayal is not decreased into numbers just like the case in quantitative research. In any case, this can later be accomplished through encoding process. Qualitative research furnishes the scientist with data about

Qualitative Research is using the characteristic of something such as colour, shape, texture, etc. Qualitative research is commonly used to research the quality of a product for example the red T-shirt is soft and fits well.

Quantitative data can be described as measurable factual and accurate data, i.e. sales, volumes and costs. Can be developed with historic records. Quantative data is more objective rather than subjective focusing on key issues.

3. Quantitative data is easily compiled into something meaningful because it is based on concrete data. On the other hand, qualitative data is presented in a raw form and needs

Qualitative research is not measurable. This is how a consumer believes about a product. The consumer may feel that the color red makes the widget look better than the color blue. There is no measurement for this type of research. Finding out what makes the red widget more pleasing to consumers is the driving force for qualitative research. This type of data is not strait forward and involves a large amount of interpretation from the researcher. Experts are needed to translate the data.

A quantitative study has objective stances, logic, and numbers focusing on unchanging data and details (Babbie, E.R., 2010). The aim of quantitative research is to classify features, count the features, and construct statistical models to explain what was observed (McNabb, D.E., 2008). It has eight characteristics:

Scientific method involves quantitative information. For example measuring changes in the body and analysing blood or urine samples. Body mass index is used to measure height and weight to distinguish whether an individual is a healthy weight.

Quantitative analysis involves the techniques by which researchers translate data into a numerical form and subject it to statistical analyses (Lesson 6 2017). I would design a quantitative research project by focusing on measurement. I will provide numerical statistics in support of my research. Lets say I am researching on the growth of the MS-13 gang. I will present numerically the growth or declination of the member attendance, crime rates, gang activities, etc. Then, with all the results, I will be able to form a conclusion on whether the gang has or has not grown over the years.

Quantitative data is something that you can actually see or handle. Quantitative data is also easily observed and/or measured. Quantitative data is define. Now, on the other hand qualitative data is hardest as it can be difficult to measure. Qualitative data formulates an approximation of something or its characteristics.

Quantitative research involves collecting data, which can be expressed numerically. The design is well structured with pre-determined outcomes. It frequently involves testing a hypothesis, which then can be analysed from the data deductively using statistical methods. Using numerical data is easier to analysis mathematical, so larger sample sizes can be utilised compared to qualitative research, therefore giving a better representative of the population; along with simplifying the process of making a generalisation. Another advantage is that studies can easily compare to similar findings (Kruger, 2003). The disadvantages are the results are limited and might not provide a proper understanding of the topic. Also, statistics and leading questions can be used to give a false representation of the data when summarising.

To conduct quantitative research, the first step is defining the problem, identifying the objectives and goals, and establishing research questions or hypothesis. It is followed by data collection and analysis with the application of various numerical and statistical approaches. Quantitative research is more factual in terms that we get concrete data with evidence to prove the results of our research.

(i) Quantitative vs Qualitative Research: Qualitative research methods is based on values and not numbers while quantitative is based on numeric and Quantifiable data to generalize in its conclusion.