Qualitative & Quantitative Research Methods

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.

According to Yin (2003), there are two types of research approach. This includes quantitative research approach and qualitative research approach. A quantitative research emphasizes on transforming the data to numbers, quantities and statistics to formulate facts and to uncover patterns in a research. It addresses research purposes through empirical analysis that involve numerical measurement, the relationship between variables and analysis approaches (Zikmund et al., 2010). The sample size being investigated is typically large (Anderson, 2006). Quantitative research mainly uses questionnaires, surveys and other equipment to collect numerical or measurable data (Anderson, 2006). On the other hand, a qualitative research typically emphasizes words more than numbers

For quite a while there has been some discussion around which method of distinctions between Qualitative research and quantitative research. This has been fired in later years with some thinking that a combination of the two is best practice especially in social

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

It is common for researchers to compare qualitative and quantitative research methods. Quantitative methods originate from positivist and post- positivist research paradigms. Also, the methods objectively examine statistical data to determine cause and affect and often use generalizable data. There are various methods used in quantitative research such as surveys,

As Creswell (2002) has noted, quantitative research is the process of collecting, analysing, interpreting and writing the results of a study, while qualitative

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).

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

Reliability refers to coherence, stability and dependability in test results, generally using internal consistency to express the levels of reliability in the test. The higher reliability indicates the higher level of accordance, stabilization and dependability in test results. Reliability is the precondition of validity (Guba and Lincoln, 1981). The same findings may not generate if the same research is repeated, because many influencing factors may work in the process of research. The process of establishment in reliability research includes: the research rigorously collect and explain data in consistent investigation (internal checks); the process is transparent (sample design, field work, inquiry and rational data). Patton (1987) suggests that the use of triangulation in multiple approaches can increase the reliability in results.

The data and findings of a researcher has been tested for its accuracy, objectivity and reliability by using several different strategies (Objakor, Bakken & Rotatori 2010:28)

General speaking, quantitative research is thought to be objective, however qualitative research often involves a subjective element. There are differences designs in qualitative research in comparison to quantitative research. Qualitative research involves words, pictures, or objects; Quantitative involves data in the form of numbers and statistics.

In order to be able to class a research method as reliable, it must produce consistent results each time it is used. The exact same results will not be obtained each time as participants and situations vary, but a similarity between the results of the same test will indicate reliability.

In research paradigm, validity and reliability are the most basic characteristic issues used in qualitative and quantitative analysis. Validity as a psychometric standard is embedded in a positivist approach, which is relevant in reflecting on the qualitative point of view ascribed to the establishment of the truth. In view of this, definition of positivism ascribe to a theory systematic to validity. Additionally, other empirical conceptions culminating from resided validity include truth, deduction, universal laws, evidence, reason, and actuality among others.

(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.