Analysis of Data Presentation

Present the most pertinent findings clearly in relation to your chosen theme or themes 9%

• Give a rationale for your theme or themes or the question or hypothesis you have chosen to explore 2%

This is drawing from your introduction – be clear and concise, don’t ramble and spread this out

Present the most pertinent findings clearly in relation to your chosen theme or themes 9%

• Give some pieces of interesting verbatim that illustrate an interesting theme sub-theme 5%

Show with a few examples how your participants’ responses are categorised in relation to an interesting/important theme or sub-theme. Some may be for and others against and some in the middle – demonstrate this

Present the most pertinent findings clearly in relation to your chosen theme or themes 9%

• Make it clear the number of participants that align for or against (or in between) your most important findings 2%

Summarise where your participants are in relation to a theme or sub-theme category by giving the percent in each category.

Describe the strengths and weaknesses of a method of analysis needed to do this research 4%.

• Explain how useful a method of analysis was in helping you to create coherent ideas or theories about the data.

Think about a conclusion that you have reached. What one method of analysis helped (or not) in reaching that conclusion

Methods of Analysis 1• Creating themes (data analysis categories) – using the demographic and ecological footprint data to

select your sample, – using the semiotic square to create opposites and

continuums or paradoxes with both/and categories, – using techniques of deconstruction such as looking at

power relations, roles, hierarchies, rules, etc, looking for the myths

• Categorising the responses on the basis of rules that you have created,

• Creating a profile of your sample and using the quantitative data to explore differences that emerged in the analysis,

• Using a test of significance - correlations, chi-squares or t-tests - to illustrate a point

Methods of Analysis 2One of these approaches may have • been much more important in getting you started, • produced a moment of real clarity and excitement,• led you on a wild goose chase, • been more helpful in organising the data, • helped explain a key point of theory supporting your

hypothesis, • led you to reconsider the validity of the data• etc.

Briefly describe the process and the outcome

Use clear (easily readable) and informative visual and auditory aids and integrate these

well with the presentation 2%

• If you are using powerpoint don’t go under 24 point font

• Make sure that your type stands out on your background

• Use at least one image to make it look interesting.

• Keep your powerpoint in sync with your presentation

• Provide references -2% if not provided

• Run to time (you will be stopped when the time runs out) -1% (If you go over/under

time )