Approach to Research Studies

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,

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).

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.

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.

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).

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).

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 is subjective data and is often used in the social sciences (Sarantakos 2013, p. 48). Qualitative research is devoted to gathering facts, this can be completed through personal experiences, behaviours, and observations (Sarantakos 2013, p. 46). The purpose of qualitative research is to gather an in depth understanding of human behaviour and the explanations for the behaviour (Martijn & Sharpe 2006, p. 1). An issue with only using a qualitative method is efficacy, qualitative studies cannot address relationships between variables with the degree of accuracy that is required to establish social trends (Sarantakos 2013, p. 46).

The quantitative approach to research has numerous principles that make it unique compared to other approaches. In this paper, I will break down many of the

Researchers often times are faced with the decision of choosing a methodology of research; either Quantitative or Qualitative that they think best fits their study and objectives. This choice is guarded by the topic of study, the advantages and disadvantages, and the strengths and weaknesses of using either one or the other type of the methodologies.

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.

There are many benefits of utilizing quantitative methods in research. The benefits are precise numerical data, previously constructed theories can be tested and validated, results can be generated from sufficient random samples sizes, and less time is needed for data analysis. The weaknesses of quantitative methods are that due to the focus of the theory used the researcher may miss phenomena occurring, or the information gained may be too general to be applied to the individuals. The other weaknesses are colleagues may not understand the categories used, and colleagues may not understand the theories used by the researchers. (Zikmund et al, 2010) Qualitative Methods

According to Schneider, Elliot, LoBiondo-Wood & Haber (2004), qualitative research methods, search for the meaning and understanding of human experiences in a naturalistic setting. A researcher obtains subjective facts in order to explore the experiences of each participant (Schneider, Elliot, LoBiondo-Wood & Haber 2004). As a result, qualitative research is a means in which a researcher gains an insight into the participant's point of view concerning their personal experiences; in order gain an understanding of the information given. Therefore this allows a researcher to collect subjective information to create a description of the phenomenon (Vishnevsky & Beanlands 2004).

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

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,