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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Inductive and deductive approaches to research

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.

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. Inductive approaches are generally associated with qualitative research, whilst deductive approaches are more commonly associated with quantitative research. However, there are no set rules and some qualitative studies may have a deductive orientation. One specific inductive approach that is frequently referred to in research literature is grounded theory, pioneered by Glaser and Strauss.

Qualitative Research Methods & Methodology

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. In practice, choices are often more pragmatic and not everyone is educated in the application of the whole range of methodologies that are out there. Furthermore, not everyone who has the need for analyzing qualitative data is conducting an academic research project that requires more thorough thinking regarding knowledge generation.

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.

Published on June 12, by Pritha Bhandari. Revised on February 15, Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations. Quantitative research is the opposite of qualitative research , which involves collecting and analyzing non-numerical data e. Quantitative research is widely used in the natural and social sciences: biology, chemistry, psychology, economics, sociology, marketing, etc.

The Advantages and Limitations of Single Case Study Analysis

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.

An introduction to quantitative research

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Dafna H.

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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.

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Callum B.

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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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Derptrananin

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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".

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