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To be honest

Right after finishing current research I decided to critically observe it, in order to identify aspects and directions in wich it can be improved. In addition to this, it will give me a clear picture of what is need to improved in my work and in me personally.

I tried to assign problematic , moments in a chronological (from start of the research to its end) order:

01

  • I have realised, even thought delegating task is hard - do a high quality work alone - even harder. Therefore, I wish that in the future I will do the majority of my work in a team

Team

Team

02

  • I have faced a lack of experienced adviser. I really hope to have a professor on my side to critique my actions and support my ideas

Adviser

Adviser

03

  • I have seen this part in a number of high quality publications (as I understood, it is done in order to: 

  • Firstly, identify and, secondly show the gap in an academic world. Unfortunately, I was not able to fully understand how to do it.

Literature review

Literature review 

04

  • The questions were highly focused on binary teenagers. It was harder for non straight people to answer some of the questions. Unfortunately I realised it on the stage of analysis.

Questions

Questions

05

  • The main way for me to find participants was Instagram. But that,partially, leeds us to the next problem.

Channels of finding participants

Channels of finding participants

06

  • Sample overexposure in terms of:

  • Geography (More than 80% were from UK or Russia)

  • Gender (+70% were females)

  • Age (small sample size in the group of under 14 and above 22)

  • Educational level bias (even people from developing counties were English speakers, therefore - from more advantaged background and might not have experienced problems of the representative majority of the country)

  • Overall sample size (I assume, that 260+ was a decent number for that research, but if you ask me about a perfect/dream number, I would answer 40 000 people (around 200 from each country in the world)

Sample problems

Sample problems

07

  • Construction of the dataset (not "yes or no" were need to be done [however it is arguable]) 

  • Tools (I was glad to use Excel for analysis and Powerpoint with WIX for visualisation, but I feel like there is many more to use on much higher level of proficiency [Programming languages like R and Python]) 

  • Methods (I have discovered the regression and confidence intervals as a grate tool to assess how "good" or non-random your data and finding are, but unfortunately these concepts are still "black boxes" for me. I wish to dive deeper into exploring them in my University years)

Data analysis

Data analysis

08

  • More interactive graphs would be a good addition to a simple website like this

Data visualisation 

Data visualisation 

Let's Connect!

Kings Manor, Newcastle upon Tyne, NE1 6PA,

United Kingdom

If you have any questions (or want a Powerpoint template with all the diagrams), do not hesitate to contact me:

The research above was done by Anastasiia Kirdiianova during her 2021 gap year.

The study does not claim to be professional and / or completely truthful, on the contrary, the author of the study knows that much more serious work needs to be done in order for this study to meet the standards and expectations of the scientific community (read more in the critique section of this website).

 

The purpose of this study was Anastasiia's desire to try herself in research, forming a methodology, searching for respondents, generating data, using Excel and visualizing finds.

In addition, Anstasiia tried to show, that research (even with all the sections inherent in it) can be published in a form of a website in order to have greater accessibility, especially among people with non-scientific background.

Many thanks for your attention  

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