Analysis Of Results Dissertation

Analysis Of Results Dissertation-1
The null hypothesis we are testing is: there are no differences in the number of women hired by region. We did not find statistically significant differences in the number of women hired in higher education institutions by region.

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To analyse your data and achieve your research aim and objectives, you can use either qualitative or quantitative analysis methods.

Quantitative data is typical of technical, scientific, and sociological disciplines.

Quantitative research designs allow for drawing generalisable conclusions to a wider population.

In turn, qualitative research can be of help if you are attempting to uncover some deep, transferable knowledge and generate highly novel empirical findings.

Your statistical software package will return this number to you once you conduct your analysis.

This number reflects the probability of obtaining results as extreme as what you obtained in your sample if the null hypothesis was true. Our research question asks: are there differences in the number of women hired in higher education institutions by region?

While these approaches are aimed at different things, writing a doctorate thesis usually involves both qualitative and quantitative analysis methods and instruments.

The presentation is an important aspect of a high-quality Ph D dissertation analysis chapter.

Make sure to assess the clarity of your data and findings from the perspective of those who may not be familiar with your research.

Presenting your findings in an easy to understand and succinct manner is not enough to prepare a good Ph D dissertation analysis chapter.

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