This will ensure construct, external and internal validity and reliability. Comprehensive and systematic organisation of data by means of a database is of utmost importance to strengthen the study. 4.4 DATA ANALYSIS METHOD Because case studies tend to be exploratory, most end with implications for further study. The researcher may be able to identify significant variables that emerged during the research and suggest studies related to these. Yin (2003a) maintains that data analysis consists of "examining, categorizing, tabulating, testing, or otherwise recombining both quantitative and qualitative evidence to address the initial propositions of a study" According to Yin there are the following analytic strategies for case studies: 1.
It considers use of both primary and secondary data so that appropriate information is gathered for arriving on reliable conclusions. Within this research design, the raw data is used and summarised in accurate manner. In order to collect topic specific data, the design makes use of particular sample size. Descriptive research design is used in the study under consideration because it functions best with the studies that make use of both types of data that is primary and secondary. It also focuses on the use of statistical approach for analysing primary data and for obtaining reliable results (Y.k.singh,
In quantitative research, variables are identified and defined, and then relevant data is collected from study participants. A strength of this type of research is that the data is in numeric form, making it easier to interpret. It also studies the relationship between independent and dependent variables and can address questions such as does a relationship between variables exist, what is the direction of the relationship, how strong is the relationship between the variables, and what is the nature of the relationship. To be able to discover and answer the cause-and-effect relationship is a strength of quantitative research. Lastly, in quantitative research, the study can either be experimental or nonexperimental, meaning clinical trial or observational study, allowing for different types of research studies to be conducted.
• Project can be used to generalize concepts more widely, predict future results, or investigate causal relationships. • The overarching aim of a quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is observed. METHODOLOGY OF QUANTITATIVE RESEARCH The overall structure for a quantitative design is based in the scientific method. It basically uses deductive reasoning, where the researcher is to form a hypothesis, collect the data in an investigation of the problem, and then to use the data from the investigation, after analysis is made and conclusions are shared, to prove the hypotheses to be not false or false. Thus the basic procedure of a quantitative design is: 1.
This research type is beneficial for conducting the research study because the main objective of this research type is to collect maximum information related to specific problem. This research type is selected for uncommon problems or when the available information is not very reliable and absolute. This technique is most suitable for conducting interviews, (Wen, P., and others, 2009). 4-3-2 Descriptive
As we use various aspects of both the methodologies, the mixed research methodology has several advantages. This methodology offers multiple ways to approach the problem faced by the researchers. Generalizing the qualitative data and analyzing the unexpected data that emerge out of the research are the key aspects of the Mixed Research Methodology. Since it infuses the qualitative and quantitative ways, data resources like case studies, articles, interviews and surveys are combined in mixed research methodology. Mixed Methodology preferred where researchers are capable to gather aspects including data research and assimilation.
Quantitative research strives to present valid and reliable research finding. Du Plooy-Cilliers, Davis & Bezuidenhout (2014) points out that validity, reliability and trustworthiness is critical in the process of collecting data. For the purposes of quantitative research, validity and reliability is more suitable for this study. The aspects of validity and liability varies, and du Plooy-Cilliers, et al (2014), will explain: 4.1.1. Reliability in quantitative research Reliability is linked to the findings of the research.
This paper will basically describe two general approaches to gathering research. Those approaches are qualitative and quantitative. The qualitative approach to research is focusing and understanding something from a closer perspective. The quantitative approach tends be seen in mannerism from a larger number of individuals who use survey methods. This paper will also reflect the difference between quantitative and qualitative research methods, as well as compare them.
Research Design This study will use a qualitative, descriptive research methodology. Qualitative research can be defined as an overarching concept of several forms of research which help to illuminate and explain the meaning of phenomenon in social settings (Merriam, 1998). The data collection methodologies included in qualitative research are observations, interviews, and analysis of written documents and artifacts (Patton, 2002). The interview using the guide questions will allow for greater analysis of individual depth and detail. The case study method is the preferred choice of methodology given that it allows the researcher to explore additional avenues of information that may arise in the case study of the participating higher education
Chapter 3: Research Methodology 3.1 Introduction Both qualitative and quantitative research methods, also known as interpretivism and postivism approaches were utilised to a greater extend in researching this article (Mc Leod, 2008). This created a stable and well-rounded approach to the investigation. Qualitative research aims to gather an in-depth understanding of human behaviour and the reasons that govern such behaviour (Denzin, et al. 2011). Broad questions were asked in order to discover possible themes and patterns.