Assignment part 2 needs to be done
Compiled data from questionnaires and interviews
Data Analysis plan
Data analysis (2000words)
Conclusions and recommendations from the gathered data (500 words)
Executive summary (500-750words)
Need to use SPSS, Anova, and T test for the results
Comment from assignment 1
As marking is anonymous for all students, please note that you should not include your name on future assignments.
Aesthetic labour is an appropriate focus for this unit. The literature review uses various sources to provide an overview of literature on aesthetic labour. As well as giving the research background, your literature review should show what is currently missing from existing research that makes more research necessary, and explicitly say why your research question is important and interesting. Although some of this is implied in your literature review, it is not explicitly shown.
Although your research question’s focus is appropriate, the question itself is broad and it is difficult to tell whether it matches your research instruments. The research question sounds as if it is looking at the views of recruiters, rather than the people being recruited. As this doesn’t match your questionnaire and interview questions, I wonder whether this needed reworded for clarity.
Your interview questions are open and appropriate for analysis. The questionnaire is not yet well suited to the analysis you need to do for this unit. As we will need to conduct t-tests and ANOVAs on the data you collect, your questionnaire needs to:
1) include a question which allows participants to be split into two groups (e.g. travelled with friends/travelled alone).
2) include a question which allows participants to be split into three or more groups.
3) include questions that allow a numerical mean to be generated for all participants.
The best way to meet requirement three is to include several questions with the response options “strongly agree, agree, neutral, disagree, strongly disagree”. In your questionnaire, you might be able to adapt your yes/no answer questions fairly easily to be answered with this scale. This would ensure you can conduct the analysis needed for the unit on your questionnaire data.
