DESIGN RESEARCH METHODOLOGY // PRIMARY DATA

  

31.03.2022 - 00.00.2022 / Week 07 - 11
Rebecca Thoo Hui Ying / 0350359
Bachelor of Designs (Hons) in Creative Media 
Design Research Methodology: Critical Review


LECTURES


INSTRUCTIONS


EXERCISE

Draft Primary Data

Final Primary Data

✧ [Feedbacks are as mentioned below]


FEEDBACK

Week 09: 26.05.2022

Lecturer's Feedback: 
✧ It is good to remind the readers of research theme, topic, problem, objectives & question when starting with the assignment. 

✧ It is suggested to not use “I” in research papers, use words like “The researcher” “it can be concluded that …” 

✧ Ms Jinchi has mentioned that for my research method, the approach is mix method // method itself is quantitative (cuz of survey: google form) but with qualitative element 

✧ Keep in mind to seek for citations and sources to back up the questions. Ms also mentioned it is best to read literature papers before coming up with the questions as this way we could get the evidence of why the questions are asked this way and why the elements mentioned. 

✧Section A: Q3, suggestion to give 3 options for the responders to choose, from most, medium to least.

Week 10: 02.05.2022

Lecturer's Feedback: 
✧ Ms Jinchi metioned good job, as I've put elements into boxes. It is a good way of organising my info, In my opnion, this is easier to see and is cleaner. 

✧ Questionaire -> Section 1: Demographic : (Nationality) it is better to change it to a short answer as to not clash with the 1st question in Section 2: General Questions, where originally i’ve constructed the question as: “ How often do you read magazines in Malaysia? “ This serves as a hindrance to respondents that are not in Malaysia. 

✧ Some questions can be framed so that the respondents can pick more than one answer 

✧ Ms Jinchi assisted me in rephrasing some of my questions to make them clearer. 

✧ Change item labeling to Capital letters, to match the answer section. 

✧ It is advised to continue the numbering and not divide them according to their sections 

✧ Because my RP is to investigate the diff of visual elements on both male & female magazines, it is suggested that i also include magazine covers of male models to balance out the answering field.

Week 11: 09.05.2022

Lecturer's Feedback: 
✧ stating things like (4-is likely) & so forth helps to give a clearer indication of what I am referring to 

✧ only use ( ) to make more clarity, there’s no need to use it for main sentences. ( ) is also for citations 

✧ add all pictures used in the survey questionnaire in the data collection to give a more clearer reference when the lecturers/ whoever that reads the paper understands it 

✧ For the open ended long answers, create a link to the original full data, share it to ms jinchi to have a reference 

✧ might need to research more about the word “inclusivity” & “clusivity” to make sure I get to deliver the right message/meaning

Week 12: 16.05.2022

Lecturer's Feedback: 
✧ Slides coverage was simple and clear to understand, the elements also relates back to the topic (magazine), however ms did noted that the “dam” letter cut out looks more like Seventeen & Teen Vogue, which I agree on as well. (But there’s not much elements I could find in canvas so I think this will do for now..) 

✧ Table of contents, change objectives to Introduction to introduce the RP, RO & RQ 

✧ Ms suggested to formulate the RQ & Roster tat so that it looks like question on the top & answer at the bottom 

✧ Visual hierarchy was seen throughout the slide design through the colours 

✧ The words written is not a lot as in the draft presentation I have presented to ms showed that I did not directly read from the slides so it is okay. 

✧ For the survey questionnaire, ms suggested to discuss more about how the questions were designed 

✧ Data analysis portion, when presenting about section 1 (the demographic of the respondents) it is best to summarise it. Adding a header to section 1 is better to indicate what I am presenting 

✧ There is a leighwey for me to do 23 slides max (excluding the thank you slide) 

✧ Data analysis, only feature key findings that creates and have an impact and connection to the RP


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