The Importance Of Qualitative And Quantitative Data

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.

Research can be used in many methods, for example: questionnaires, television, leaflets, books etc. it allows us to keep up to date on the new findings or discoveries e.g. a new type of cancer or a new vaccination. Research is the investigation into

FUNCTIONS OF RESEARCH TO HEALTH AND SOCIAL CARE: Research might have so many different functions or aims which are as follows: identifying needs, highlighting gaps in provision, planning provision, informing policy or practice, extending knowledge and understanding, improving practice, aiding reflection, allowing progress to be monitored and examining topics of contemporary importance.

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.

Research is vital in understanding why certain theories are conceived. Essentially, through research I am studying human life and more so studying human

Qualitative research data is useful to explain to others the outcome of the information whereas quantitative research is difficult to understand at an initial glance. An advantage to quantitative data is that it is easy for you to turn in to quantitative data, which is more aesthetically pleasing for the audience.

Methods used in psychological research are used to obtain quantitative or qualitative data. Quantitative data is more often than not derived from methods such as experiments and statistics analysing data using surveys, questionnaires and interviews. Qualitative data tends not to be aimed at finding exact measurements in its findings, but is more concerned with evidence collection and analysis through practices such as observation and ethnography (using observations through involvement in activities over a period of time) (Brownlow 2011).

Above is an example of qualitative data. It is based on proven fact and testament is the aircrafts ability.

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

13. Distinguish between quantitative and qualitative data. Which type would be presented in a data

Quantitative and qualitative methods differ from one another as to their research design elements as listed below:

These are research techniques that can be used to produce data such as questionnaires, structured and unstructured interviews, observations and scientific experiments.

Quantitative research is gathered using a traditional tactic, that is a calculated way of obtaining data (Polit & Beck, 2017). Data

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.