Comparing Quantitative and Qualitative Research

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

This paper primarily concerns qualitative research, but we were asked to compare both qualitative and quantitative methods. During comparison, there are many noted differences in both study designs, but not many similarities. Qualitative research uses a subjective approach with a large sample population. It collects non-statistical data, using an unstructured or semi-structured technique (Nieswiadomy & Bailey, 2018). Quantitative research uses an objective approach and large, random, sampling to ask opinions in a structured way. The findings of quantitative studies are conclusive and used to recommend a final course of action (Nieswiadomy & Bailey, 2018). While it is hard to see similarities between the two, both methods aim to find a solution to a problem or question, the researcher doing the study may affect the outcome and an analysis of the collected data must be done (Souza, 2017). What many don’t realize is the connection amongst the two. You can say, both types of research build upon one another, meaning quantitative studies can quantify results found in qualitative research (Souza, 2017).

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.

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 research generates from two different perspectives, and it provide different types of crucial information from the research subject. Qualitative research corresponds more with comprehensive and thorough descriptions of events, whereas quantitative research creates statistical models to explain events. Several advantages and disadvantages in qualitative and quantitative research, depends upon the researcher's purpose and area of focus and information that will answer those research questions (Creswell, (2013).

The researcher must set a clear hypothesis, showing the relationship between independent and dependent variables. In quantitative research tools are used to collect numerical data. The information can be gathered using questionnaires or some type of equipment. Quantitative data is efficient at testing a hypothesis, but can miss contextual detail. In quantitative research, the researcher is often objectively separated from the subject matter. One of the ways quantitative research is different from qualitative research is that quantitative research requires extraction of large amounts of statistical data. Qualitative research is focused in on personal viewpoints and opinions of a smaller number of subjects (typically). Qualitative research can take more time than quantitative research (McCusker & Gunaydin,

Qualitative research is subject to judgments about the data and synthesizes the findings using specialized approaches such as experimental or non-experimental. Researchers often opt to use non-experimental approaches in studies using surveys, interviews, observations, and case studies. Even though an experimental approach is appropriate in quantitative research, it further enables researchers to find answers and collect data (Bagozzi & Yi, 2012). This approach is unique in its hypotheses and the study of behavior, making it valid and reliable.

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).

Qualitative research uses data obtained through methods such face- to- face interviews, observations, and focus groups. Data is analyzed by looking for trends and patterns. Quantitative research use numerical and statics to process the answer specific questions. Statistics used to support assessment of research. Analysis techniques are used to report are affected by the questions addressed and type of information that is expected in the research discoveries (Wakoff, 2007).

Business researchers utilize various forms of approaches to analyze and obtain information and data, and two of the most popular approaches used are the qualitative research approach and quantitative research approach. Each approach can be beneficial or in some cases may cause inconclusive results depending on the type of research being conducted and what the nature of the study is. The following will assess two different peer reviewed articles: one which uses a qualitative approach and the other a quantitative approach. It

The approach of this study will take the epistemological position and a qualitative research design. Humphries (2008) asserts that qualitative research focusses on the subjective and recognises that the researcher will affect the data that is produced and therefore the outcome of the research. Denzin & Lincoln (2005:3) state that “Qualitative researchers study things in their natural settings attempting to make sense of, or to interpret, phenomena in terms of the meanings people bring to them”. Quantitative research on the other hand, claims to be objective, removing the researcher’s views and values from the study. While traditionally quantitative data has been deemed to produce more reliable or valid data, it does not suffice to capture the complexities of the human experience as it assumes a positivist epistemology.

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.

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.

Qualitative and Quantitative study designs both can be beneficial in research design. They both provide valuable options for researchers in the field. These techniques can either be used separately in a research study or they can be combined to achieve maximum information. This paper will define the terms qualitative and quantitative; describe the similarities and differences between each; discuss how qualitative and/or quantitative research designs or techniques could be used in the evaluation of my proposed research; and discuss why linking analysis to study design is important.