Quantitative techniques may be defined as those techniques which provide the decision makes a systematic and powerful means of analysis, based on quantitative data. It is a scientific method employed for problem solving and decision making by the management. With the help of quantitative techniques, the decision maker is able to explore policies for attaining the predetermined objectives. In a conclusive way, the techniques (quantitative) are expected in the final decision composing process. There are different types of quantitative techniques.
Starting with testing the goodness of fit for the arrival and service distributions, one would need to estimate the parameters of the model and/or test hypotheses concerning the parameters or behavior of the system. Other significant questions where statistical procedures play a crucial part are in the determination of the inherent dependencies among elements and dependence of the system on
This means that a researcher cannot be solely tied to one type of data collection or research. They must use different methods to validate their data and their opinion. For example, a researcher was to conduct research using a qualitative study and a qualitative study, that researcher would be able to compare data. After comparing and analyzing the data, if researcher finds that they are receiving patterns in answers, they are validating the
Hypotheses was formulated; the dependent and independent variables were identified which assisted in measurements of objectives. Data was collected by using close-ended questionnaires. 5.1 Research paradigm According to the requirements of research question, it was decided that it would be appropriate to choose the positivism approach as the philosophical assumption and research paradigm for the study. Besides this, the quantitative approach was used during this research. This study was based on the true reality and objectivity.
Two research approaches are there which includes inductive and deductive that can be used the researcher for collecting data and analysing it. The selection of the approach is dependent on the nature of the study that is qualitative and quantitative (Kumar, 2010). Deductive Approach Deductive approach is also known as top down approach that emphasise on the shifting the general perspective to the specific one. The focus of this approach is to make the researcher able to relate theory regarding topic with the aim of the study. For this purpose, the researcher focuses on making use of development of hypothesis.
The aim of quantitative methodology in research is to predict the situation or event. By the statistical testing of variables, whether they have correlation or not this is focused on numerical data such hypotheses are tested and develop deductive conclusion of the situation and event. With respect to inquiry approach a qualitative inductive research approach which namely is value-laden (subjective) this is focused on process in contrast quantitative is deductive approach, value-free (objective) this is focused on outcomes. Hypotheses: In qualitative methodology research design is tentative and repeated it is allowed to work continuously on the particular social phenomena for further understanding of hypotheses or "theories" a social phenomena can "appear" from the
Where it uses several stages like; discover, delve, define, develop, deliver and determine impact and construct assumptions that are based on the fact. Then, study the assumptions to verify and create the Criteria for the design or the final idea that helps solve the problem. It translates the criteria into a design or solution. The solution is tested in determine impact stage or it calls experiment and evaluation
This paper presents a Fault Tree (FT) based approach for quantitative risk analysis in the construction industry that can take into account both types of uncertainties including objective and subjective uncertainty. In this research, the identified basic events are first categorized based on the availability of historical data into probabilistic and possibilistic. The probabilistic and possibilistic events are represented by probability distributions and fuzzy numbers, respectively. The hybrid uncertainty analysis is then performed through combination of Monte Carlo simulation and fuzzy set theory. The probability of occurrence of top event is finally calculated using the proposed fault tree based hybrid uncertainty analysis method.
Introduction Research can be defined as a procedural and precise process of investigation, it aims at explaining a given phenomenon and tries to develop it and finally test the theories and explanatory concepts behind it. Basically, it focuses on explaining and contributing to scientific knowledge by collecting data, analyzing and then interpreting it for understanding the phenomenon. In this essay, there are two research approaches that are commonly used to conduct research namely quantitative and qualitative. Quantitative is mainly used to answer research questions based on numerical data while qualitative answer research questions based on textual data. a) Quantitative Method: In this research, the method involves gathering data for it to be quantified and therefore be placed under statistical treatment to provide support to the topic under study.
The two main paradigms that are used for describing these are using the objective, scientific-based positivist approach and the subjective, phenomological-based interpretivist approach. Since the positivist approach is grounded on a foundation of empirical testing, it looks largely at hypotheses and determines cause and effect relationships based on largely deductive logic as well as the validity and reliability of the research studies conducted. The interpretivist paradigm uses multiple perspectives of reality since this is based on a contextual interpretation of the issues being examined, where reality is a fluid construct and depends on who is being observed under a particular set of