Qualitative and Quantitative Approaches

Research, no matter what field, is often conducted and analysed in accordance with two basic approaches: quantitative and qualitative. The quantitative approach aims to test a hypothesis and examine the relationship through generating numerical data or other information that is than converted into numbers, whereas the qualitative approach is more exploratory, aiming to gain a deeper understanding of the research subject. Through breaking down and examining the key features in each of these approaches it is evident that although they both begin with a problem the researcher aims to understand they fundamentally differ. The table below shows side by side comparisons, highlighting the differences that can be used to differentiate these approaches, described broadly across three main categories.

Hypothesis testing and development provides a baseline for taking ideas or theories that were initially created by another person in regards to the markets, economy, or investing and then determining if the

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).

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

Replication, external review, and data recording and sharing, are important to the scientific method because it helps support the hypothesis even more. By replicating the experiment and sharing the data, it increases the validity of the experiment. Semmelweis included these concepts in his experiment by repeating the experiment multiple times, he showed a third party (other scientists) his experiment, and he shared his data and results to multiple sources, but scientists dismissed it.

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).

Researchers are sometimes using Quantitative and Qualitative research methodologies interchangeably, or all three of the methodologies including the mixed approach, Creswell (2009). However, the most distinctive differences between the two is the application used, or the design, using words for qualitative analysis, and

Compare and contrast quantitative and qualitative methods on each of the elements listed. Please use scholarly, academic literature to support your response.

hypothesis testing is using data to evaluate a hypothesis. Data can either support the hypothesis or disprove it.

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 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).

Reiterate- to state or do over again or repeatedly sometimes with wearying effect # I had to go to the store two times today.

Skinner, Tagg, and Holloway (2000) stressed that engaging in qualitative research demands an understanding of some of the drawbacks associated with doing this type of research. A number of common concerns related to qualitative research are found in the literature. The time and resources involved in collecting and analyzing qualitative data are mentioned frequently (e.g., Creswell, 1998; Skinner, Tagg, & Holloway, 2000). A related concern involves depending on others for access to documents such as diaries, logs, and other records.

Hypothesis testing is the process in which an analyst may test a statistical hypothesis. The methodology used by the analyst is based on the nature of the data used and the main goals of the analysis. The main goal in this is to either reject or accept the null hypothesis. Through testing, results will show that someone who may prove one answer, may not mean that answer is actually correct, for there may be many factors that may change the outcome. For this reason is why researchers the five or one percent probability rates.

Testability: Scientific research should test logically developed hypotheses to see whether or not the data supports the hypothesis that are developed after