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Essay / Research Paper Abstract
This 10 page paper is the pro-posed design for collection and analysis of data, proposing a random sampling with the consideration of external validity. The paper then looks at how the quantitative data could be statistically analysed. The process could be applied to many scenarios; in this paper it is to assess the needs and desires of air travellers. The bibliography cites 5 sources.
Page Count:
10 pages (~225 words per page)
File: TS14_TEryanreseachd.rtf
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Unformatted sample text from the term paper:
not only their perception of the company, but also their desires for air travelling the future, identifying the drivers that peruse a purchase so that RyanAir can look at satisfying
some of these desires, even if they are not yet needs. There are two approaches we can take; qualitative and quantitative. Quantitative
research relies more on a large amount of results, with the data being recorded often being predominately numerical, it is suitable to be used as a method of determining cause
and effect relationships. The methodologies fir this approach will often be based on scientific procedures of investigation. Quantitative research includes descriptive, correlational,
quasi-experimental and experimental (Curwin and Slater, 2001). Qualitative research is narrower and more concentrated by looking to information to be gained in-depth
from a smaller quantity of subjects. Often this research will be word based with methods such as recorded in-depth interviews and other data which is not so easily classified.
Qualitative research is best suited to phenomenological research Grounded theory, ethnographic and historical research. For this research we want to gather data
which we can compare and describe the needs and as such quantitative data is the better approach. However, when we undertaken any research design we need to consider the issues
of internal and external validity. In this survey we are going to need a broad spectrum of all potential air travel users.
This means we need to have a random sampling. This is the area where we have to consider aspects of external validity. The
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