Sample Thesis That Employed Mixed Method Approach Using Case Study And Descriptive Methods Pdf

sample thesis that employed mixed method approach using case study and descriptive methods pdf

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Published on June 12, by Pritha Bhandari. Revised on February 15, Quantitative research is the process of collecting and analyzing numerical data.

The main difference between inductive and deductive approaches to research is that whilst a deductive approach is aimed and testing theory, an inductive approach is concerned with the generation of new theory emerging from the data. A deductive approach usually begins with a hypothesis, whilst an inductive approach will usually use research questions to narrow the scope of the study. For deductive approaches the emphasis is generally on causality, whilst for inductive approaches the aim is usually focused on exploring new phenomena or looking at previously researched phenomena from a different perspective.

Methodology

Using selected examples from within the International Relations literature[1], this paper aims to provide a brief overview of the main principles and distinctive advantages and limitations of single case study analysis. Divided into three inter-related sections, the paper therefore begins by first identifying the underlying principles that serve to constitute the case study as a particular research strategy, noting the somewhat contested nature of the approach in ontological, epistemological, and methodological terms. The final section of the paper then discusses the most commonly articulated limitations of single case studies; while accepting their susceptibility to criticism, it is however suggested that such weaknesses are somewhat exaggerated. The paper concludes that single case study analysis has a great deal to offer as a means of both understanding and explaining contemporary international relations. It is possible, however, to distil some of the more commonly-agreed principles. As such, three key points can be derived from this — respectively concerning issues of ontology, epistemology, and methodology — that are central to the principles of single case study research. It is important to note, however, that — whereas Gerring refers to a single unit of analysis — it may be that attention also necessarily be given to particular sub-units.

The last chapter introduced interpretive research, or more specifically, interpretive case research. This chapter will explore other kinds of interpretive research. Recall that positivist or deductive methods, such as laboratory experiments and survey research, are those that are specifically intended for theory or hypotheses testing, while interpretive or inductive methods, such as action research and ethnography, are intended for theory building. Unlike a positivist method, where the researcher starts with a theory and tests theoretical postulates using empirical data, in interpretive methods, the researcher starts with data and tries to derive a theory about the phenomenon of interest from the observed data. Interpretive research is a research paradigm see Chapter 3 that is based on the assumption that social reality is not singular or objective, but is rather shaped by human experiences and social contexts ontology , and is therefore best studied within its socio-historic context by reconciling the subjective interpretations of its various participants epistemology.

Before beginning your paper, you need to decide how you plan to design the study. The research design refers to the overall strategy that you choose to integrate the different components of the study in a coherent and logical way, thereby, ensuring you will effectively address the research problem; it constitutes the blueprint for the collection, measurement, and analysis of data. Note that the research problem determines the type of design you should use, not the other way around! De Vaus, D. Research Design in Social Research. Research Methods Knowledge Base.

Inductive and deductive approaches to research

Software is simply a tool that supports the data analysis process by helping you to find what you are looking for, to retrieve data in all kinds of ways, to help you think and to work with your data. Should it be an inductive approach, a deductive approach, or a mixture of both? Do you want to combine elements of qualitative and quantitative data analysis? According to the academic literature, it should be your research question that is guiding this decision. In theory this is and should be so.

Methodology is "'a contextual framework' for research, a coherent and logical scheme based on views, beliefs, and values, that guides the choices researchers [or other users] make". It comprises the theoretical analysis of the body of methods and principles associated with a branch of knowledge such that the methodologies employed from differing disciplines vary depending on their historical development. This creates a continuum of methodologies [3] that stretch across competing understandings of how knowledge and reality are best understood. This situates methodologies within overarching philosophies and approaches. Methodology may be visualized as a spectrum from a predominantly quantitative approach towards a predominantly qualitative approach. Overall, a methodology does not set out to provide solutions - it is therefore, not the same as a method. The natural sciences for example, but not limited to, astronomy , biology , chemistry , earth sciences , and physics draw their study of methods through the scientific method.

In this chapter, central ideas of Mixed Methods Research are presented in which qualitative and quantitative research methods are combined or integrated. In addition to the explanation of common Mixed Methods terminology, the chapter provides an overview of the most important aspects that must be reflected in the planning and conduction of a mixed-methodological research project. On the basis of considerations on the nature of the research object and specific conditions of mathematics education research, methodological aspects of the research question, research design and data analysis are described. The chapter concludes with considerations on the challenges of Mixed Methods, as well as recommendations on the step-by-step approach to a Mixed Methods Research project. The number of studies using both qualitative and quantitative methods or combining qualitative and quantitative data has increased significantly in recent years in mathematics education research. As shown by meta-analyses by Hart et al. More and more researchers nowadays situate their studies in the Mixed Methods Research MMR methodology, and the use of multi-methodological approaches to data analyses is increasingly taking place against a methodological background that has been described more broadly and in more detail in recent years.


The Descriptive Statistics of Survey Items Regarding Background methods study designed with either the qualitative or quantitative component as its For example, the National Research Council promotes mixed-method studies researchers used qualitative case studies to obtain in-depth detail about state policy.


Planning and Conducting Mixed Methods Studies in Mathematics Educational Research

E-mail: jose. E-mail: alacoque newsite. E-mail: betina. E-mail: gabimrc gmail.

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available for use in accordance with the regulations of the University Library for the time being in force, subject to Chapter 3 Methodology and research design. 35 A mixed-methods case study approach was used to measure the attitudes of practice detailed descriptive statistics of the final sample characteristics.

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