Unit 318 Analyse and report data Essay

Qualitative research is flexible written form their results are ongoing and their conclusion can be changed while quantitative research is numerical, reliable, specific, data are collected by statistical analysis due to which quantitative are more accurate. Qualitative research uses open questions to find the depth of the information while quantitative research uses closed question, secondary data or experiments due to this it lacks the depth of the information and neglect the effect of the individuals which could be service provider, service users or other staff members.

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

The purpose and benefits of organising data so that it can be analysed as you will be turning this data into information. Data is commonly known as information which is lacking meaning, therefore it cannot be analysed easily, however information is much more meaningful. We can filter the data and use it as needed which saves time scrolling through lots of unnecessary data. The benefits of organising data are that is can be easier to read and to understand. It also makes it quicker to find the information you need from it.

There has probably been more energy spent on debating the difference, advantages and limitations between qualitative and quantitative research methods, it can be said that this issue has been debated to death with many spending years proving which methods is the best.

Quantitative research methods are objective as it uses measurements and analysis of statistical data to answer the study question. The researchers’ opinions do not affect the outcome of the study, ensuring that the study is unbiased. Another advantage is quantitative research uses numbers and statistics which is understood universally (Houser,2008).

Determine what sources of data would provide the information needed and assess the feasibility of the alternatives.

Quantitative research deals with numbers and is measurable. Some examples of quantitative data are cost, number of participants and time. This type of research is systematic and uses the more traditional scientific method of data collection and presentation. Qualitative research has data that is nonnumeric in nature and it is difficult to measure. As the root of the same suggests, it gives a quality description of the data being viewed. It can include descriptions or verbal responses. Qualitative data is subjective in the sense that the answer can be different amongst various people.

A qualitative study addresses the complexity of human experience, focusing on the big picture (Rebar & Gersch, 2015); while a quantitative study breaks a problem down into small pieces and focuses on specific parts to see how they all relate (Rebar & Gersch, 2015). Qualitative methods focus on subjective information, and never try to predict or control the phenomenon of interest (Rebar & Gersch, 2015); on the other hand, quantitative methods focus on statistics and objective information, and can yield predictions and control (Rebar & Gersch, 2015).

Data management is vital to any business as this is a key tool to an organisations business improvement, as you can refer back to data, and compare them against benchmarks. Analysing data can provide evidence for possible future structure such as identify trends, as well as indicate where improvements can be made. However there are strict procedures to be followed when collecting and storing data.

The key distinctions between qualitative and quantitative data are qualitative data is subjective, ask What?, Why?, literature review may be done after study is complete, develops theory, focus is complex, facts are biased and values are involved, qualitative data is about discovery, describing, understanding, sharing results to who are concerned about the study. Basic with analysis is part of, the researcher conducting the study is part of the process, and participants are involved, reasoning is dialectic and inductive, describes the meaning of what was discovered in the study conducted, uses communication and observation, and strives for trends and theories easy to understand. Study conducted has a flexible approach in a natural setting, provides information worth counting (Anderson, 2006). Quantitative data provides objectives, ask questions how many?, literature review must be done early in the study, tests theory, focus is

First, consult the document entitled "Guidelines for Evaluating Sources". Then judge the credibility of the all the sources you located (use one worksheet for each source) according to each of the following criteria. Rate it by highlighting the appropriate term (excellent, good, fair or poor) and explain your reason for your choice, drawing on the suggested criteria below each item.

1. The criteria for determining credible sources is taught to students in elementary school and reiterated through college. It is also available on the internet. Some questions to consider when searching for material are:

Knowing how data was obtained is central to knowing its value. If the information comes from a survey look to find the sample source and size.

However, quantitative research can also be used to track data within the company such as production, manpower hours, quality of work and mishaps. This allows the management staff to keep operations running smoothly and also monitor areas that could benefit from improved productivity. This method could also be used to assist in determining awards,

A key to a valid and reliable research includes various sources and forms of data. As to research more in depth