DELIMITATIONS Delimitation defines the purpose of study; they define the parameters of the investigation. These features on the study that it can be controlled s as to determine the parameters or the scope of the study. Features that you can control so you do not go beyond your boundaries. They help you know exactly what you want to do in your research .In an educational research delimitation will frequently with items such as population and sample, treatment and setting and instrumentation. Delimitations factors includes the choices of objective ,research questions , perspective that you adopted, variables of interests and population you choose to investigate.
thinking about rival explanations; 3. and developing a case description. The researcher will examine, assess, and interpret the data collected, identify relationships between variables, compare variables, identify the difference between variables and the subsequently generate a forecast generated from the data. 4.5 DATA VALIDITY AND RELIABILITY According to Riege (Riege:1998) "tests to establish the validity and reliability of qualitative data are important to determine the stability and quality of the data obtained. However, there is no single, coherent set of validity and reliability tests for each research phase in case study research available in the literature. Following data analysis, the researcher could restate their research question, thereafter present findings and conclusions.
in some cases confused with subgroup analysis is the sensitivity analyses for the study. Although some sensitivity analyses include restricting the analysis to a subset of the studie. There is two methods differ in two ways. He first way is sensitivity analyses do not attempt to estimate effect of intervention in the group of studies removed from analysis and the estimates are produced for each subgroup. The second way is sensitivity analyses informal comparisons done between the ways of estimating the same thing, in subgroup analyses formal statistical comparison are made across the
Explain the meaning of scientific method. Answer/ Hypothetic-deductive method: mixing between deductive and inductive methods to and of process of: 1- Explanation of a problem. 2- Creating a hypothesis from conclusion(observation). 3- Implications their chart by created by deduction. 4- Testing theoretical or practical of the hypotheses.
3.1 Introduction In this chapter the coverage is on the research design and methodology, including sampling, population, establishing rigour during and after data collection, ethical considerations and data analysis. 3.2 Research Strategy This study used quantitative research strategy. According to Newman, quantitative research goes from reviewing and defining directly to developing hypotheses and collecting data. In quantitative analysis, this is called the derivation of hypotheses. “The researcher examines the literature and, based upon this process, he or she derives theoretical expectations, which become the derived hypotheses (Newman, Ridenour, & Ridenour, 1998).
Therefore, the researcher uses it as the framework for the research methodology. Based on this framework, in order to make sure that the findings are accurate, a deductive approach is carried out. This implies the existing theories are utilized to help deduce solutions to the current problems or the research gaps identified in the literature review. Therefore, the focus of the research is not about proposing or forming new theories, but to extract the required solutions by either extending the current knowledge corpus to meet the objectives of the research or by refining the same through re- structuring the existing details to make it more suitable for the current research aim. In order to achieve this, a deductive approach will lead to more accurate findings than presenting new theories (Anderson, 2009).
There are several advantage of such model compared with other traditional one. Logistic regression does not make several key assumptions of linear regression and general linear models based on ordinary least squares algorithms (i.e. linearity, normality, homoscedasticity, and measurement level). Firstly, logistic regression can handle all sorts of relationships between dependent (outcome or response) variable, and independent (predictor or explanatory) variables, or sometimes called covariates, because it uses a non-linear log transformation to the predicted odds ratio. Secondly, the independent variables do not need to be multivariate normal, and even the error terms as well.
It should be carefully decided according to research problem and hypothetical prediction of the research. Research methodology may be Qualitative or Quantitative approach regarding data collections. Mostly it does depend on nature of the research problem and hypothetical prediction of the research. Many scholars have raised many arguments regarding research methodology. Research in common parlance refers to a search for knowledge.
B. Research Design The study will employ a case study method in which this method will provide tools for researchers to study complex phenomena within a context. Merriam (1998, p. 19) defines case study as a study that is employed to gain an in-depth understanding of the situation and meaning for those involved. Case study can also be defined as an approach to research that facilitates exploration