Comparing Quantitative and Qualitative Research

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.

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

Both qualitative and quantitative research methods have their specific qualities which make them useful to a researcher, however in the course of this short essay I will explain why, for several reasons, qualitative research is better. As both methods operate within different assumptions, it is important to stem criticism for each method 's respective theoretical base in order to adequately judge them. In the course of this essay I will highlight each method 's theoretical assumptions and then I will assess each method by pointing out their positive and negative factors.

In particular, qualitative researchers tend to focus more on the social-constructed reality and the contextual influence, interaction and constraints between the researcher(s) and the participants. They are interested in finding answers to questions that focus on the “social construction of experience and how meaning is created” (Cooper & White, 2012, p. 15). However, quantitative researchers “emphasize measurement and analysis, and focus on product rather than process” (Cooper & White, 2012, p. 15). Quantitative researchers perceive reality as observable and external so that they are interested in conducting research which is based on measurement or calculation. Therefore, it is the ontological and epistemological beliefs that usually drive the methodological preferences, but what helps the researchers make their final decisions about research methods is the guiding research question(s). Sechrest and Sidani (1995) point out the commonality that both methodologies “describe their data, construct explanatory arguments form their data, and speculate about why the outcomes they observed happened as they did (p. 78)”. Both research methodologies need to address issues of either validity or credibility, make the data unbiased and the research design as rigorous as possible.

Qualitative and quantitative methods each bring a unique perspective to research and both methods satisfy the major goals of research in different ways.

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.

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

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).

The more ‘extreme’ positions in the debate between qualitative versus quantitative research state that qualitative research is “unscientific, anecdotal, and saturated by the opinions of the researcher”, whereas the latter is “not representative of human behaviour” (Natasi & Schensul, 2005).

Qualitative research is designed in general to try and understand and interpret social interactions, according to Xavier University. Quantitative research, on the other hand, is used to test hypothesis, to examine "cause and effect," and to make predictions (Xavier). Qualitative research is used to identify patters, themes and certain features while quantitative research tends towards identifying statistical relationships (Xavier). As to the role of the researcher in qualitative research, his or her biases "…may be known to participants in the study" and the characteristics of the participants may be known to the researcher; in quantitative research the researcher and his or her biases "…are not known to participants in the study" and the characteristics of participants are "deliberately hidden from the researcher" (Xavier).

Research contrasts in various perspectives yet they do have a few shared characteristics. Numerous aspects are included in conducting research. One extremely fundamental component is gathering data. The information can be assembled from various sources, like the hotels, journals related to the particular theme, documents from online study and surveys.

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).

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.

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.

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.