How to best to approach data analysis and presentation in


Research Subject: The Impact of Festivals on promoting cultural tourism

"The case of the Dhow Festival at the Cultural Village Foundation, Katara, Qatar"

The event is taking place once a year during the 2nd week of November, visitors are coming from all over the GCC and the Arabic countries and much more.

Katara traditional Dhow festival, is designed to be a destination for both international and national cultural tourists, the event is to promote awareness about the maritime rich legacy of Qatar and the GCC countries among new generations

Activity 1:Making Sense of Data

You have most likely disagreed with a colleague, friend or online review about whether a film, television show or event was ‘good' or ‘bad'. Everyone has his or her own unique biases and ways of judging quality, which affect interpretations. When you interpret the findings of your research, you make value judgements and report what you feel is important given your particular context. Examining other researchers' data analyses and interpretations can give you a glimpse into their value judgements and thought processes. Additionally, you may disagree with their interpretations and think of alternative analyses that would have been more appropriate or yielded better outcomes.

In this Shared Activity, you will :

- Find a method for displaying data (eg table, graph or diagram) from a published article
- Critically evaluate its approach.
- Additionally, you will comment on alternative approaches and recommend improvements on a variety of data display examples.
- How to best to approach data analysis and presentation in your own research proposals.
To prepare for this Shared Activity:
- Read the Unit 5 assigned readings (Chapter 10 is optional).
Easterby-Smith, M., R. Thorpe, & P. Jackson, (2012) Management Research, 4th edition, London: SAGE Publications
- Chapter 7: ‘Framing Qualitative Data' (pp.161-220; ebook pp. 3957-5106)
- Chapter 9: ‘Summarising and Making Inferences From Quantitative Data' (pp. 244-277; ebook pp. 5669-6323)
- Identify an example of a management research article, such as one from your critical literature review, and evaluate the methods used to analyses and present the data.
To complete this Shared Activity:
- By approximately Day 4 of Unit 5, post your data display exemplar and present an analysis of its characteristics:
o What analytical strategies and tools were used to analyse the data? Can you suggest alternative strategies and tools? How would analyzing the data in a different manner alter the data presentation?
o Critically analyses how the data are summarized. Do you detect any bias in how the data are presented?

Activity 2: Choosing Data Analysis and Presentation Techniques

Once you have spent some time analyzing examples of data analysis and presentation used in management research in Shared Activity 1, turn your attention to planning for your own research. Use this Shared Activity to give and receive feedback on approaches to data analysis and presentation that you and your colleagues may use in your Management Research Project. Submit a plan for data analysis and presentation.

To complete this Shared Activity:
- By approximately Day 2 of the second week of Unit 5, post a description of your chosen approach to data analysis for your research question, including the following:
o Explain how this data analysis approach will help answer your research question.
o Discuss how this data analysis approach is appropriate for the type of data you will be collecting and how it will ensure the validity and reliability (if appropriate) of your results.
o Identify strategies you might use to present the results of this type of data analysis.
o Identify the challenges you foresee in interpreting and making inferences with this approach to data analysis.
- Continue this discussion until the end of the unit by commenting on the relationship between data collection, data analysis and interpreting and presenting research findings.
- Be sure to include references to all sources in Harvard Referencing Style.

Note:

- Uses Harvard reference style

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